METHOD AND SYSTEM FOR EVALUATION AND MONITORING OF MUSCLE HEMODYNAMIC PERFORMANCE DURING A CYCLICAL LOCOMOTOR ACTIVITY

Information

  • Patent Application
  • 20230371887
  • Publication Number
    20230371887
  • Date Filed
    July 16, 2021
    2 years ago
  • Date Published
    November 23, 2023
    5 months ago
  • Inventors
    • VERDEJO AMENGUAL; Martí
Abstract
Monitoring and evaluation method of muscle hemodynamic performance during a cyclical locomotor activity that includes the stages of provide one or more NIRS sensors, place the sensors on muscle tissues, provide a heart rate monitor and a locomotor intensity meter, obtain data relative to SmO2%, ThB, of each of the muscle tissues, heart rate (bpm) and locomotor intensity data, calculate the values of SmO2%, O2HHb and HHb, ϕO2HHb and ϕHHb, ThB and ϕThB, calculate the general trend line, calculate and obtain the physiological thresholds of each muscle tissue and the general thresholds, evaluate and/or compare the evolution and trend between two or more of the muscle tissues to determine the performance of the physiological sub-factors that make up the performance of muscle oxidative capacity and/or the delivery capacity of oxygen-charged and oxygen-discharged blood.
Description
OBJECT OF THE INVENTION

The present invention relates to a monitoring and evaluation method of muscle hemodynamic performance, in particular a monitoring and evaluation method based on the use of near infrared sensors (NIRS).


The object of the present invention is to provide a method and a muscle hemodynamic monitoring and evaluation system that allows to evaluate and analyze the performance of muscle tissues in an analytical way and a global way overall performance of all muscle tissues during a cyclical locomotor activity.


BACKGROUND OF THE INVENTION

Nowadays, a lot of many assessment methods and devices, both invasive and non-invasive, are used to assess the physiological performance of the human body in a multitude of locomotor movements and in a wide variety of conditions. One of the most used methods to evaluate the physiological performance during exercise is the measurement of indirect calorimetry, from which derive variables relating to the exchange of gases in the human body.


Indirect calorimetry is a representation of the joint performance of all muscle tissues. On the other hand, this evaluation method doesn't allow to know what the performance of each one of the muscular tissues has been like.


Blood Lactate [La +] measurements are also widely very used in the research and sports world to correlate them with locomotor performance, since certain levels and increases in Blood Lactate values are associated with certain work intensities.


The closest method that allows to partially measure the performance of the muscular tissues during a Locomotor Activity or Cyclic Physical Activity (AFM) is the use of electromyography, whether invasive or surface. However, this method only allows obtaining the electrical activation values of each muscle tissue (TM).


Currently athletes and coaches use one to three NIRS devices to evaluate the physiological performance of an athlete in a physical activity. In these studies, only Muscular Oxygen Saturation (SmO2) and Capillary Hemoglobin (ThB) values are used to establish in a very generic way what the athlete's performance limitation has been during exercise. Thus, the data obtained from one or two muscle tissues are used to determine that the subject evaluated has a general physiological limitation of this nature in his muscles, without taking into account the performance of other muscle tissues.


Likewise, state-of-the-art studies use only 1 or 2 NIRS devices to evaluate highly analytical aspects of the hemodynamic performance (% SmO2, ThB, O2HHb, HHb) of one or two muscle tissues (mainly: deltoid, vast lateral & rectus femoris). Data obtained from muscle tissues are used to represent the hemodynamic performance of all muscle tissues, assuming that there is symmetry in all active tissues.


DESCRIPTION OF THE INVENTION

The present invention refers to a method of monitoring and evaluating of muscle hemodynamic performance, in a non-invasive way, through the use of near-infrared spectroscopy (NIRS) devices, to establish the hemodynamic performance of multiple muscles tissues (TMs) of simultaneously during a Locomotor Activity or Cyclic Physical Activity (AFM) determined.


In general, the monitoring and evaluation method of the invention analyses three aspects of muscle hemodynamic performance which are:

    • 1. The Physiological Thresholds: From the monitoring and evaluation of the redirection of blood flow developed in the TM, the Minimum Activation Threshold (UAmin), the Aerobic Threshold (UAe) and the Anaerobic Threshold (UAna) can be established.
    • 2. The Muscle Oxidative Capacity: The performance in the capacity that has each TM for consuming the oxygen that is delivered by the cardiovascular system for production of the energy necessary to develop locomotor movement.
    • 3. The Delivery of Oxygen Loaded and Oxygen Discharged Blood: The performance in the capacity to deliver the oxygen-loaded blood necessary for TMs to be able to consume it and produce the energy necessary for locomotor movement. It also includes hemodynamic performance in the ability to maintain blood flow and venous return necessary for each work intensity.


Each one of these aspects determine the general hemodynamic performance of each muscle tissue and at the same time report a collective performance of the muscular system as a whole. Oxidative capacity and blood delivery have a series of sub-factors that determine specific aspects of their activity, offering information on the level of performance of each TM individually and collectively, in addition to the link with other physiological systems.


The method of the invention comprises in general the following differentiated parts:

    • 1. Capture of hemodynamic data during locomotor performance: while the user that is evaluated, perform an AFM with certain characteristics, the NIRS devices are adhered to the human skin in each of the TMs involved in AFM, additionally they can be included other TMs involved in the inspiration and expiration phases. The hemodynamic values are registered by these devices and also the heart rate (HR) values can be registered with a monitor of HR. Also, record data on external locomotor performance developed during AFC, such as power or cadence data.
    • 2. Data Management: Doing a process of downloading, synchronization, linking and filtering of the data obtained is carried out, through a data processing system.
    • 3. Analysis and Evaluation of the Hemodynamic Data Obtained During Monitored Locomotor Activity or Cyclic Physical Activity (AFCM): The hemodynamic data obtained with the NIRS devices and the other devices during the AFCM are evaluated and analysed analytically for each TM, and jointly for to establish which has been the physiological performance of the all TMs during the AFCM, the physiological thresholds of each TM, the general physiological thresholds, the performance of each subfactor and the physiological factors limiting muscle hemodynamic performance during the developed AFCM.


The invention refers to a Muscle Hemodynamic Monitoring and Evaluation Method that allows the evaluation and analysis of locomotor performance during AFCM, allowing to analysis and determination of the systemic or analytical physiological factors that limit or impede the perfect locomotor performance of human muscle tissues. FIG. 1 shows the general scheme of all the factors that allows to evaluate and analyze.


In the first place, data capture is carried out, which refers to procedures prior to data recording of the evaluation and monitoring method of the invention.

    • 1. The evaluation and monitoring method comprises a first stage of providing the subject to be evaluated of:
      • Two or more near infrared sensors (NIRS).
      • One Heart Rate (HR) monitor.
      • One physical activity monitor or data recording device.
      • One intensity meter or device (GPS, power meter, . . . ).
      • Complementarily they can be provided of devices or meters of locomotor performance parameters (meter of cadence, pedometers, . . . ) or meters of other physiological variables (VO2/CO2 gas analyzers, surface electromyography, . . . ).
    • 2. The NIRS are placed or adhered on the muscle tissues (TM) that will be evaluated and will participate in the Monitored Locomotor Activity or Cyclic Physical Activity (AFMM).
      • Likewise, the HR band will be placed on the subject's chest and any other monitor, devices and/or intensity and/or locomotor and/or physiological performance meter that requires it to obtain data will be placed or added.
    • 3. The data recording of all devices and activity monitors begins, minimally from the start of the AFM.


The AFMM comprises one or more of the following characteristics:

    • The subject to be evaluated will carry out a AFCM, such as running, swimming, pedalling, rowing, . . . .
    • The devices record the data they capture and/or monitor during AFCM.
    • The activity monitor records the full-time scale from the beginning to the end of the AFCM, including the multiple intervals of work and/or rest if performed.
    • Complementary and/or necessary tools can be used for the development of AFCM.
    • The data recording frequency of each device must be less than 6 seconds.
    • The AFCM can be continuous or intervallic.
    • The AFCM can be of stable, incremental, decreasing or variable locomotive intensity.
    • The AFCM may or may not include a warm-up/prior preparation, and if it does not include it, the AFCM may contain a warm-up exercise prior to monitoring without the need to be recorded.
    • The minimum number of records for each device will be equivalent to the minimum number of records to be able to generate the trend line of the variables that the device is monitoring.
    • The characteristics of locomotor exercise (volume, duration, density, intensity, number of intervals, intensity of each interval, properties of the environment, . . . ) will depend on the physiological factor or factors of muscle performance that want to be evaluated, having a composition, structure and own characteristics in each case.
    • External accessories or materials that participate in the locomotive activity may be introduced, such as a bicycle, a canoeing paddle or skis.


The processing system takes care of the data management stage, which includes downloading, synchronization, data filtering, and data analysis.


Thus, once the AFCM is finished, the following steps will be carried out:

    • 1. Download all the data from each device with his temporary record of each value. The values downloaded by each device:
      • a. NIRS: Muscular Oxygen Saturation (%—SmO2%) and Capillary Hemoglobin (g/dL—ThB).
      • b. Heart Rate Monitor: Heart Rate (bpm—HR)
      • c. Activity Monitor and/or computing device: temporal scale of AFCM
      • d. Intensity device or monitor: Power (Watts)/Speed (Km/h)/Pace (min/Km)/Any locomotor intensity measurement
      • e. External locomotor performance devices and/or monitors: Cadence (rpm)/Accelerometer/Pedometer/Any other type of device that provides data on external locomotor performance
      • f. Devices and/or monitors of Physiological Locomotor Performance: Metabolic gas analyzers (VO2/CO2), lactate meters, thermal imaging cameras . . . .
    • 2. Sync, link and pair all values on a single grouped data timescale starting from the timescale collected by the activity monitor during AFCM
    • 3. Calculate the values for each Monitored Muscle Tissue (TMM) that participate in the AFCM from the recorded data of SmO2% and ThB of:
      • Oxygen-Charged Capillary Hemoglobin—g/dL (O2HHb)





% (SmO2)*g/dL (ThB)=g/dL (O2HHb)

      • Oxygen Discharged Capillary Hemoglobin—g/dL (HHb)





g/dL (ThB)−g/dL (O2HHb)=g/dL (HHb)

      • Muscle Blood Flow of Muscle Hemoglobin—g/dL/s (ϕThB).





[g/dL (ThB)*(HR)]/60=g/dL/seg (ϕThB)

      • Muscular Blood Flow of Oxygen-Charged Hemoglobin—g/dL/s (ϕO2HHb).





[g/dL (O2HHb)*(HR)]/60=g/dL/seg (ϕO2HHb)

      • Muscular Blood Flow of Oxygen Discharged Hemoglobin—g/dL/s (ϕHHb).





[g/dL (HHb)*(HR)]/60=g/dL/seg (ϕHHb)

    • 4. Filter and exclude the data obtained erroneously and/or by registration error by the devices during AFCM. Exclude the data that are not within the following ranges and all the data obtained from the calculation of any of them:
      • a. SMO2% [Between 1% SmO2 and 99% SmO2]
      • b. ThB [Between 9.5 g/dL and 14.9 g/dL]
      • c. HR [Between 40 ppm and 230 ppm]
    • 5. Filter and exclude the data that present a difference greater than that established in the following parameters, between the temporary records of the same previous and subsequent value, and all the data obtained from the calculation of any of them will also be excluded:
      • a. Difference of SmO2% [>±10% SmO2%]
      • b. Difference of ThB [>±0.3 g/dL]
      • c. Difference of HR [>±7 ppm]


Then, through the processing system, an analysis and an evaluation of the data obtained during the AFCM is carried out.


Previously to the analysis of the physiological factors, the intensity or range of locomotor intensity equivalent to the Minimum Activation Threshold (UAmin), the Aerobic Threshold (UAe) and the Anaerobic Threshold (UAna) that the user has developed during the AFCM will be established.


To be able to establish each of the thresholds mentioned, it will require that intensities above these thresholds have been developed in the AFCM, in order to be monitored.


Previous calculating the physiological thresholds, the trend line of each value obtained and/or calculated, for each TMM will be established.


Thus, it proceeds to perform, through the processing system, an analysis and evaluation of physiological thresholds and the calculation of a trend line of the values obtained.


To the Physiological Thresholds are obtaining from combination of all the data of SmO2%, ThB, ϕThB, O2HHb, ϕO2HHb, HHb, ϕHHb of all TMM. The procedure for calculating the Thresholds, through the processing system, has got the following steps:

    • 1. Filter and exclude all values obtained, calculated and/or recorded during all Rest Intervals (ID) or without AFC.
    • 2. Filter and exclude all values obtained, calculated and/or recorded during the first minute of each work interval (IT).
    • 3. Filter and exclude all the values obtained, calculated and/or registered when the value of locomotor intensity in the same time register is equivalent to “0”.
    • 4. Filter and exclude all the values obtained, calculated and/or registered when the value of locomotor movement frequency in the same time register is equivalent to “0”.
    • 5. Choose and perform at least one of the following procedures:


Procedure A

    • A1. Calculate the statistical median value (Y̆) of the values SmO2%, ThB, ϕThB, O2HHb, ϕO2HHb, HHb, ϕHHb of each TMM, during AFCM, in each Locomotor Work Intensity (INTTL) or in each Intensity Range of Locomotor Work (R-INTTL), that participates in the AFCM.
    • A2. Establish the Trend Line (LinTrend) of the median values (Y̆−INTTL) or (Y̆−R-INTTL) obtained from Y̆SmO2Y̆, Y̆ThB, Y̆ϕThB, Y̆O2HHb, Y̆ϕO2HHb, Y̆HHb and Y̆ϕHHb, in each TMM.


Procedure B

    • B1. Calculate the statistical average value (Y) of the values of SmO2%, ThB, ϕThB, O2HHb, ϕO2HHb, HHb, ϕHHb, of each TMM, during AFCM, in each INTTL or R-INTTL, which participates in the AFCM.
    • B2. Establish the LinTrend of the average values (Y−INTTL) or (Y−R-INTTL) obtained from YSmO2%, YThB, YϕThB, YO2HHb, YϕO2HHb, YHHb and YϕHHb, in each TMM.


Procedure C

    • C1. Establish the LinTrend (Value/INTTL) or (Value/R-INTTL), from all filtered values of SmO2%, ThB, ϕThB, O2HHb, ϕO2HHb, HHb, ϕHHb, in each TMM.
    • 6. Calculate all values of LinTrend |Y|SMO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and |Y|ϕHHb, of each TMM, for each INTTL or R-INTTL.
    • 7. Calculate the Slope (p) between each of the values of |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and |Y|ϕHHb, from each TMM.
    • 8. Calculate, analyze and determine all the trend changes of (p) in each of the LinTrend, of all the values |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and |Y|ϕHHb, of each TMM.
    • 9. Calculate, analyze and establish between which two values of INTTL or R-INTTL occurs the 1st, 2nd and 3rd General Change of the trend of the slope (p) of LinTrend |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and |Y|ϕHHb, in each TMM.
    • 10. Establish the intensity range in which the 1st General Change of the slope (p) trend occurs, of each TMM, through the combining at least 4 of the 7 INTTL or R-INTTL, analyzed and established in the previous step (9), for each TMM.
    • 11. Establish the intensity range in which the 2nd General Change of the slope (p) trend occurs, of each TMM, through the combining at least 4 of the 7 INTTL or R-INTTL, analyzed and established in the previous step (9), for each TMM.
    • 12. Establish the intensity range in which the 3rd General Change of the slope (p) trend occurs, of each TMM, through the combining at least 4 of the 7 INTTL or R-INTTL, analyzed and established in the previous step (9), for each TMM.
    • 13. Establish the Physiological Thresholds of each TMM from the data calculated and established in the previous points:



















1st General
2nd General
3rd General




Change (p)
Change (p)
Change (p)




UAmin Individual
UAe Individual
UAna Individual









TMM
Rank|X| (Watts)
Rank|X| (Watts)
Rank|X| (Watts)




|X| (Watts)
|X| (Watts)
|X| (Watts)












    • 14. Establish the central INTTL or R-INTTL of the General Physiological Thresholds from the median of the values of the individual thresholds of all TMSM:






















1st General
2nd General
3rd General




Change (p)
Change (p)
Change (p)




UAmin
UAe
UAna









TMM
Rank|X| (Watts)
Rank|X| (Watts)
Rank|X| (Watts)




|X| (Watts)
|X| (Watts)
|X| (Watts)












    • 15. Coming up next, the processing system can then also determine the level of symmetry or asymmetry that has been obtained between at least two groups of values and/or trend of the values |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and/or |Y|ϕHHb, between two INTTL or two R-INTTL, between at least two TMSM.

    • A) Coefficient of Symmetry Between Values (CSV)





To set whether a set of values |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|2ϕO2HHb, |Y|HHb and/or |Y|ϕHHb, between two INTTL or two R-INTTL, of at least two TMSM have some level of symmetry or asymmetry, the following procedure must be carried out:

    • Calculate, analyze and determine the CSV of the values of |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb or |Y|ϕHHb, between two INTTL or two R-INTTL determined, between at least two determined TMSM:







C

S

V

=


Standard


Deviation



(
σ
)



of


the


values


of





"\[LeftBracketingBar]"

Y


"\[RightBracketingBar]"




Average


of


the


values


of





"\[LeftBracketingBar]"

Y


"\[RightBracketingBar]"










    • Establish the Symmetry Level (NSCSV) from the CSV value calculated from the values |Y|SmO2%, |Y|ThB, |Y|ϕThB, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb or |Y|ϕHHb, between two INTTL or two R-INTTL determined, between at least two TMSM determined:





















Symmetry














Level
CSV










(NSCSV )
SmO2 %
O2HHb − HHb
ϕO2HHb − ϕHHb





Perfect
≤0.01
≤0.001
≤0.01













Optimum
>0.01
≤0.05
>0.001
≤0.005
>0.01
≤0.05


Minimal
>0.05
≤0.20
>0.005
≤0.02 
>0.05
≤0.2 










Asymmetry
>0.20
>0.02 
>0.2 









B) Symmetry Coefficient Between the Trends of the Values—TGV (custom-character)


To establish whether the trend of the values |Y|SmO2%, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and/or |Y|ϕHHb, between two INTTL or two R-INTTL determined, of a TMM have some level of symmetry or asymmetry with the trend of the values |Y|SmO2%, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and/or |Y|ϕHHb, between two INTTL or two R-INTTL determined, of at least one other TMM or a set of TMSM, the following procedure must be carried out:

    • Calculate, analyze and determine the slope-trend custom-character|Y| of at |Y|SmO2%, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb and/or |Y|ϕHHb, between two INTTL or two R-INTTL determined, of at least two TMSM determined:









(
p
)



=






"\[LeftBracketingBar]"

Y


"\[RightBracketingBar]"



2

-




"\[LeftBracketingBar]"

Y


"\[RightBracketingBar]"



1







"\[LeftBracketingBar]"

X


"\[RightBracketingBar]"



2

-




"\[LeftBracketingBar]"

X


"\[RightBracketingBar]"



1




;






    • where custom-character is the slope-trend; |Y|1 the determined value of SmO2%, O2HHb, ϕO2HHb, HHb o ϕHHb, of the 1ST LNTTL or R-INTTL determined and |Y|2 of the 2nd INTTL or R-INTTL determined; |X| 1 is the 1ST LNTTL or R-INTTL and |X| 2 the 2nd INTTL or R-INTTL determined.

    • Calculate, analyze and establish the custom-character of custom-character|Y|SmO2%, custom-character|Y|O2HHb, custom-character|Y|ϕO2HHb, custom-character|Y|HHb and/or custom-character|Y|ϕHHb between two INTTL or two R-INTTL determined, of one TMM determined with respect to the trend of the values custom-character|Y|SmO2%, custom-character|Y|O2HHb, custom-character|Y|ϕO2HHb, custom-character|Y|HHb and/or custom-character|Y|ϕHHb of another TMM or a set of trends of values custom-character|Y|SmO2%, custom-character|Y|O2HHb, custom-character|Y|ϕO2HHb, custom-character|Y|HHb and/or custom-character|Y|ϕHHb of two or more TMSM determined:









custom-character=[custom-character|Y|]−[custom-character|Y|]

    • Where custom-character|Y| is the median slope-trends of the compared TMSM and custom-character|Y| is the slope-trend of the analyzed TMM.
    • Establish the Symmetry Level (NSCoef-(p)) from the calculated value of custom-charactercustom-character|Y|SmO2%, custom-character|Y|O2HHb, custom-character|Y|ϕO2HHb, custom-character|Y|HHb o custom-character|Y|ϕHHb of the analyzed TMM:













Symmetry



Level

custom-character











(NSCoef-(p))
SmO2%
O2HHb-HHb
ϕO2HHb-ϕHHB
















Perfect

≤0.01

≤0.001

≤0.01


Optimum
>0.01
≤0.05
>0.001
≤0.005
>0.01
≤0.05


Minimal
>0.05
≤0.15
>0.005
≤0.015
>0.05
≤0.15










Asymmetry
>0.15
>0.015
>0.15











    • 16. The processing system coming up next determines if there are limitations on the performance of the subject to be analyzed and of what type these limitations are. To do this, a series of values and ranges of the measured and calculated variables are determined that indicate the presence of different types of limitations. The types of limitations that may exist and the steps to follow in determining the presence of each one in the subject's performance are explained below.





A. Muscle Oxidative Capacity


The oxidative capacity is the potential of the muscular tissues to consume the oxygen delivered in the muscular capillaries and with the objective of producing an amount of adenosine triphosphate (ATP) necessary for the locomotor movement.


When evaluating the hemodynamic performance, the performance of the global muscle oxidative capacity is established, that is, the global or average level of the entire locomotor system, and at the same time the individual performance level of each muscle tissue is established. Since there are multiple factors that can affect to the ability of consume oxygen of only one muscle tissue while the consumption potential remains intact in the other muscle tissues.


A perfect global or general muscle oxidative capacity occurs when each muscle tissue that participates in locomotor activity is capable of consuming all the oxygen delivered by the cardiovascular system.


On the contrary, limitations can occur with respect to the maximum potential of oxidative capacity when in at least one, a group or all the muscular tissues do not express the maximum capacity or potential to consume all the oxygen delivered by the cardiovascular system.


A1. Structural Factor of Oxidative Capacity

Factor (A1) is that factor that analyzes and evaluates the performance of the level of mitochondrial density and/or oxidative enzymes available to muscle tissues. Oxygen is consumed within the mitochondria and the enzymes participate in this process and establish the speed at which it is consumed, a low level of both means a low capacity to consume oxygen and produce high amounts of energy per unit of time. A limitation in this factor means a general limitation of oxidative capacity in practically almost all muscle fibers.


To establish that there is a Limitation in Factor A1, the following steps and criteria must be met:

    • Evaluate the value of |Y|SmO2% in each INTTL or R-INTTL, INTTL greater than or equal to UAmin and less than or equal to UAna.
    • Calculate, compare, evaluate and establish the Coefficient of Symmetry between Values (CSV) and the Level of Symmetry (NSCSV) between |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of each TMM and his Contralateral Muscle Tissue Monitored (TMCM), in each INTTL or R-INTTL INTTL greater than or equal to UAmin and less than or equal to UAna.
    • Calculate, compare and evaluate the General Trend of the Values (TGV [custom-character]) |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Calculate, compare and establish the lowest value of custom-character and the equivalent NSCoef-(p) of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, between the combination of at least 70-75% of the TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Determine that the following criteria are met to establish a limitation in Factor (A1):
      • 1. The value of |Y|SmO2% in each INTTL or R-INTTL INTTL greater or equal than UAmin and less than or equal to UAna, is ≥70% SmO2%, in at least 70-75% of TMSM.
      • 2. The values of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of each TMM and TMCM, have at least one optimal symmetry, in each INTTL or R-INTTL greater than or equal to UAmin and less than or equal to UAna, in at least the 70-75% of TMSM.
      • 3. The TGV of de custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb is symmetric between the combination of at least 70-75% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
      • 4. The TGV of de custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb is symmetric between each TMM and his TMCM, in at least 80-85% of TMSM, in the R-INTTL(UAmin−UAe) and (UAe−UAna).


A2. Functional Factor of Oxidative Capacity by General Fatigue

The functional factor of oxidative capacity is that factor that analyzes and evaluates whether the muscle tissues have the potential or the capacity to consume large amounts of oxygen delivered by the cardiovascular system, but due to factors of general fatigue, the muscle tissues lose part or all its consumption potential. Once the general fatigue disappears, this limitation disappears, it is a temporary limitation of the performance of the oxidative capacity and it is observed in practically all the muscular tissues at the same time.


To establish a Limitation on Factor (A2) the following steps and criteria must be met:

    • Evaluate the values of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of each TMM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate and evaluate the difference of SmO2% between the value of |Y|SmO2% of each TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Compare, evaluate and determine the CSV and NSCSV between the values of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb of each TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, compare and evaluate the TGV [custom-character of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Calculate, compare and establish the lowest value of custom-character and the equivalent NSCoef-(p) of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, between the combination of at least 50-55% of the TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Determine that the following criteria are met to establish a limitation in Factor (A2):
      • 1. The difference between the value of |Y|SmO2% of each TMM and his TMCM is >5% SmO2%, in the 95% of INTTL or R-INTTL greater than or equal to UAmin, in at least the 70-75% of TMSM.
      • 2. The value of |Y|SmO2% is ≥55% SmO2%, in the 80% of TMSM, in each INTTL or R-INTTL greater than or equal to UAmin and less than or equal to UAna.
      • 3. The values of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb are asymmetric in at least the 50% of INTTL or R-INTTL greater than or equal to UAmin, between one TMM and his TMCM, in at least the 70-75% of TMSM.
      • 4. The custom-character of de custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb is asymmetric between the combination of at least the 50-55% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).


If a second evaluation is carried out after a recovery period where the general fatigue disappears, it could be observed how all the muscular tissues regain their oxygen consumption potential and the asymmetries generated by the general fatigue also disappear and the muscle saturation would return to being symmetric in each muscle tissue compared with his contralateral muscle tissue.


A3. Functional Factor of Oxidative Capacity by Muscle Inhibition

The functional factor of the oxidative capacity due to Muscle Inhibition is that factor that analyzes each muscle tissue individually to assess whether the analyzed muscle tissue loses its potential or the ability to consume large amounts of oxygen temporarily due to a muscle inhibition. This factor is usually observed in isolated tissues, which lose their potential while the rest of the muscle tissues keep their oxygen consumption potential intact, unlike what happens in the functional factor due to general fatigue.


To establish a Limitation on Factor A3, the following steps and criteria must be met:

    • Evaluate the value of |Y|SmO2% of at least one TMM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, compare and evaluate the value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of at least one TMM with the values of his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, evaluate and determine the value of CSV and NSCSV of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of at least one TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, compare and evaluate the TGV [custom-character] of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Calculate, evaluate and determine the lowest value of custom-character and the equivalent NSCoef-(p) between the values of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, of at least the combination of the 50-55% TMSM.
    • Determine that the following criteria are met to establish a limitation on Factor (A3):
      • 1. The value of |Y|SmO2% is ≥50% SmO2% in the TMM analyzed, in the 95% of INTTL or R-INTTL greater than or equal to UAmin.
      • 2. The values of |Y|SmO2%, |Y|O2HHb |Y|y ϕO2HHb of the TMM analyzed are greater than the values of his TMCM, in the 95% of INTTL or R-INTTL greater than or equal to UAmin.
      • 3. The TGV of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb is asymmetric between the TMM analyzed and his TMCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
      • 4. The TGV of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb is symmetric between the combination of at least the 50-55% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).


A.4. Neuromuscular Factor of Oxidative Capacity (Intermuscular Coordination)

The Neuromuscular factor of Oxidative Capacity (Intermuscular Coordination) is that factor that analyzes and evaluates whether the muscle tissues have the potential or the ability to consume large amounts of oxygen delivered by the cardiovascular system, but certain evaluated muscle tissues that participate in the activity locomotive, they do not, while the other muscular tissues do develop their potential.


This occurs mainly due to two aspects, the muscle recruitment pattern by the nervous system and, on the other hand, the biomechanical pattern performed by the subject during locomotor movement.


The pattern of muscle recruitment by the nervous system (Intermuscular Coordination) refers to the level of activation and participation in locomotor activity, a perfect muscle recruitment would mean that all the muscle tissues that participate in said movement have the same level of metabolic activation and therefore, the same muscle oxygen consumption. The level of performance of this aspect is determined by the ability of the nervous system to recruit and activate all muscle tissues symmetrically during locomotor movement. When the nervous system is not efficient in muscle recruitment, it activates differently and to a greater or/or lesser degree the different muscle tissues involved in locomotor activity. It should be noted that when this happens, a symmetry is usually observed between muscle tissues and their contralateral muscle tissues in the hemodynamic and activation values. When a lesser degree of recruitment occurs in muscle tissues and its contralateral muscle for the reasons mentioned above, they may present a limitation in oxidative capacity, as they have the potential to consume large amounts of oxygen, but do not develop said potential during locomotor activity due to less nervous activation.


The biomechanical pattern refers to the physical movement carried out by the evaluated subject, any type of incorrect and/or inefficient biomechanical pattern may mean that the nervous system must recruit some muscle tissues to a greater or/or lesser extent than other muscle tissues that participate in locomotor activity to be able to cope with said alterations or inefficient biomechanical patterns.


When a muscle tissue and its contralateral muscle tissue are affected by this factor and their level of nerve activation is reduced, these muscle tissues do not express their maximum potential for oxygen consumption due to low nerve activation


The two previous patterns or factors are the cause of a limitation of the Neuromuscular factor of Oxidative Capacity (Intermuscular Coordination). To establish a Limitation on Factor A4, the following steps and criteria must be met.

    • Evaluate the value of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of each TMM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, evaluate and determine the value of CSV and the equivalent NSCSV of de |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of at least one TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, compare and evaluate the TGV [custom-character]) of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Calculate, evaluate and determine custom-character and the equivalent NSCoef-(p) between the values custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, of each TMM and his TMCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
    • Determine that the following criteria are met to establish a limitation on Factor (A4):
      • 1. The value of |Y|SmO2% of the TMM analyzed and of his TMCM is greater than or equal to 65% SmO2%, in each INTTL or R-INTTL greater than or equal to UAmin.
      • 2. The trend of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, in the 70% of TMSM and their TMSCM are minimally symmetric, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
      • 3. The values of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb of the TMM analyzed and his TMCM are greater than the values of at least the 70-75% of the remaining TMSM, in each INTTL or R-INTTL greater than or equal to UAmin.
      • 4. The values of |Y|SmO2% of at least the 50-55% of TMSM is ≤45% SmO2%, in any INTTL or R-INTTL greater than or equal to UAe.


B. Oxygen-Loaded Blood Delivery Capacity in the Venous Return


The Capacity to Deliver Oxygen-Loaded Blood Flow and the Venous Return is a performance performed jointly, dependently, harmonically and synchronized by the different vascular, muscular and nervous tissues together with the multiple organs of the body involved in gas exchange, the maintenance of blood pressure, supply and redistribution of oxygen-laden blood flow throughout the body, the level of metabolic activation of each tissue, and venous return during locomotor movement.


To fully analyze and evaluate the performance of Oxygen-Charged Blood Delivery Capacity and Venous Return, the limiting factors for performance are divided according to the physiological system that interacts with some aspect of blood flow. The 3 systems into which the factors are divided are the pulmonary system, the cardiovascular system and the nervous system.


B1. Pulmonary System
B1.1. Pulmonary Structural Factor

The Structural Factor of the Pulmonary System is that factor that analyzes and evaluates if there is any type of limitation in the exchange of gases produced in the lung, negatively affecting and reducing the delivery of oxygen-charged haemoglobin to the muscle tissues.


The Pulmonary Structural Factor indirectly represents the state and performance of the pulmonary structures involved in gas exchange (for example, the pulmonary alveoli). Any deficiency in these structures can affect to the uptake of oxygen O2 and the expulsion of CO2 and H2O from the bloodstream.


Any limitation related to problems in gas exchange or oxygen uptake is observed mainly in greater delays in terms of post-effort recovery periods and in oxygen replenishment in muscle tissues. In people without any type of alteration in this factor, the recovery or replenishment of oxygen is almost immediately, but in people with a certain limitation of this factor, the delay in replenishment can exceed 10 seconds or even reach half a minute in very evident cases.


This limitation is mainly observed in people with respiratory diseases diagnosed as COPD, people with 1 lung, asthmatics, or smokers generally.


To establish if there is a limitation of the Pulmonary Structural Factor, the following steps must be followed, and the established criteria must be met:

    • Calculate, analyze and evaluate the value of |Y|SmO2% of at least one TMM involved in the breathing process [inspiration (inhalation) and expiration (exhalation)] during AFCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, analyze and evaluate the trend custom-character of the SmO2% and ϕO2HHb values of all TMSM, on the initial 5 and 10 seconds of at least one ID after an IT of INTTL or R-INTTL average greater than or equal to UAe.
    • determine that the following criteria are met to establish a limitation on Factor (B11.1):
      • 1. The trend of the values custom-characterSmO2% and custom-characterϕO2HHb in the initial 5 seconds, in all ID after an IT of INTTL or R-INTTL average greater than or equal to UAe, is less than [custom-character<0000.5], in at least 70% of TMSM.
      • 2. The trend of the values custom-characterSmO2% and custom-characterϕO2HHb in the initial 10 seconds, in all ID after an IT of INTTL or R-INTTL average greater than or equal to UANA, is less than [custom-character<0000.5], in at least 70% of TMSM.
      • 3. The value of |Y|SmO2% is >50% SmO2% in the TMSM that participate in the breathing process [inspiration (inhalation) and expiration (exhalation)], in at least one INTTL or R-INTTL greater than or equal to UAmin.


B1.2. Pulmonary Functional Factor (Respiratory Muscles)

The Pulmonary Functional Factor (Respiratory Muscles) is that factor that analyzes and evaluates if there is any type of limitation in the exchange of gases in the lungs produced by the inefficiency and/or incapacity of the muscular tissues in charge of the biomechanical phases of respiration [inspiration and expiration].


When there is an inefficiency in the performance of these muscle tissues, the maximum potential to introduce the greater volume of oxygen (L/min) into the lungs through negative pressure is reduced, which is generated by the contraction and elevation of the rib cage.


The effects are the same as the Pulmonary System Structural Factor, but with a different limiting cause. The magnitude of the limitation depends on the level of deconditioning or inefficiency of performance by the respiratory muscle tissues. Even any muscle blockage or “muscle contracture” in muscle tissues that limits the range of motion of the rib cage can prevent the maximum volume of oxygen introduced into the lungs from being generated.


To establish whether there is a limitation of the Pulmonary Functional Factor, the following steps must be followed and the established criteria must be met:

    • Calculate, analyze and evaluate the value of |Y|SmO2% of at least one TM involved in the breathing process [inspiration (inhalation) and expiration (exhalation)] during AFCM, in each INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate, analyze and evaluate the trend custom-character of the SmO2% and ϕO2HHb values of all TMSM, in the initial 5 seconds, of at least one ID after an IT of INTTL or R-INTTL average greater than or equal to UAe.
    • determine that the following criteria are met to establish a limitation on Factor (B11.1):
      • 1. The trend of the values custom-characterSmO2% and custom-characterϕO2HHb in the initial 5 seconds, in all ID after an IT of INTTL or R-INTTL average greater than or equal to UAe, is less than [custom-character<0000.5], in at least 70% of TMSM.
      • 2. The value of |Y|SmO2% is ≤50% SmO2% in the TMSM that participate in the breathing process [inspiration (inhalation) and expiration (exhalation)], in at least one INTTL or R-INTTL greater than or equal to UAmin.


B2. Cardiovascular System
B2.1. Exercise Blood Flow Analytical Delivery Performance Factor

The Performance Factor of Analytical Delivery of Blood Flow during exercise is that factor that analyzes and evaluates cardiovascular performance in each of the muscle tissues that participate in locomotor activity. This factor analyzes how the cardiovascular system satisfies the demands of blood flow from the muscle and determines how the characteristics of the flow delivered to each muscle are.


In many cases, the delivery of blood flow is totally different in each of the muscle tissues, for that reason the characteristics of blood flow are analyzed individually, allowing to identify if there is some type of hierarchy of preference between muscle tissues in terms of the delivery of blood.

    • Composition of Muscular Blood Flow [% of Blood Flow Charged with Oxygen] (Factor B.2.1.1): It is the aspect or qualitative component of blood flow, it represents how much haemoglobin is charged with oxygen in the blood flow of said muscle tissue and whether the blood flow is rich or poor in oxygen.
    • Volume of Muscle Hemoglobin Delivery [Oxygen Charged (O2HHb) or Discharged (HHb)] (Factor B.2.1.2): It is the absolute quantitative aspect of blood flow. The absolute amount of hemoglobin that is oxygen-loaded and discharged is determined. This aspect serves to know if the muscle tissue receives the correct amount of hemoglobin during locomotor work in the intensity or range of intensities analyzed.
    • Velocity/Rate of Blood Flow Delivery [Charged ((O2HHb—Oxygen Discharged (ϕHHb)] (Factor B.2.1.3): It is the aspect of intensity or speed with which a certain volume of oxygen charged or discharged hemoglobin is delivered This parameter is important to fully analyze the individual cardiovascular performance of muscle tissue because a tissue may have a blood flow with a lower “quality” and “quantity” of oxygen-laden blood delivery, but if the speed at which the blood is delivered is high enough, it may be sufficient to satisfy the metabolic oxygen demands during locomotor work in the intensity or range of intensities analyzed.


In order to evaluate and establish the performance of Factor (B2.1), the following steps must be followed and the established criteria must be met:

    • Calculate the value of |Y|SmO2%, |Y|O2HHb, |Y|ϕO2HHb, of each TMM, in at least one INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate the values of SmO2%, O2HHb and ϕO2HHb of the Upper Limit of the Optimal Zone (|custom-character|custom-character) and the Lower Limit of the Optimal Zone |custom-character|custom-character, in the determined INTTL or R-INTTL, from the following calculation:





|custom-character|custom-character=(Median of {|Y|1;|Y|2;|Y|3; . . . ,})+(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2





|custom-character|custom-character=(Median of {|Y|1;|Y|2;|Y|3; . . . ,})−(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2

    • where |Y| is the value (SmO2%, O2HHb or ϕO2HHb) of each TMM at the determined intensity; (σ) is the standard deviation of (SmO2%, O2HHb or ϕO2HHb) of each TMM at the determined intensity.
    • Compare and evaluate the values of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of at least one TMM with the values of SmO2%, O2HHb and ϕO2HHb of |custom-character|custom-character and of |custom-character|custom-character, in INTTL or R-INTTL greater than or equal to UAmin analyzed.
    • Determine the type of performance of the Factor (B.2.1.1) that develops at least one TMM analyzed, in the analyzed INTTL or R-INTTL, based on the following criteria:
      • Excessive Muscle Oxygen Amount if:
        • The value of |Y|SmO2% of the TMM is ≤80% SmO2% in the analyzed INTTL or R-INTTL
        • The value of |Y|SmO2% of the analyzed TMM is greater than SmO2% |custom-character|custom-character, in the analyzed INTTL or R-INTTL
        • The difference between the value of |Y|SmO2% of the analyzed TMM and SmO2%|custom-character|custom-character is ≥15% SmO2%, in the analyzed INTTL or R-INTTL
      • Greater Amount of Muscular Oxygen if:
        • The value of |Y|SmO2% of the analyzed TMM is greater than SmO2%|custom-character|custom-character, in the analyzed INTTL or R-INTTL
        • The difference between the value of |Y|SmO2% of the analyzed TMM and SmO2% |custom-character|custom-character, is <15% SmO2%, in the analyzed INTTL or R-INTTL.
      • Optimal Amount of Muscular Oxygen if:
        • The value of |Y|SmO2% of the analyzed TMM is equal or less than SmO2% |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
        • The value of |Y|SmO2% of the analyzed TMM is equal or greater than SmO2% |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
      • Lower Amount of Muscular Oxygen if:
        • The value of |Y|SmO2% of the analyzed TMM is greater than SmO2% |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
        • The value of |Y|SmO2% of the analyzed TMM is >20% SmO2%, in the analyzed INTTL or R-INTTL
      • Inefficient or Low Amount of Muscular Oxygen if:
        • The value of |Y|SmO2% of the analyzed TMM is greater than SmO2%|custom-character|custom-character, in the analyzed INTTL or R-INTTL.
        • The value of |Y|SmO2% of the analyzed TMM is <20% SmO2%, in the analyzed INTTL or R-INTTL
    • Determine the type of performance of the Factor (B.2.1.2) that develops at least one analyzed TMM, in the analyzed INTTL or R-INTTL, based on the following criteria:
      • Higher Hemoglobin Delivery Volume if:
        • The value of |Y|O2HHb of the analyzed TMM is greater than O2HHb |custom-character|custom-character, in the INTTL or R-INTTL analyzed.
      • Optimal Hemoglobin Delivery Volume if:
        • The value of |Y|O2HHb of the analyzed TMM analyzed is equal or less than O2HHb |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
        • The value of |Y|O2HHb of the analyzed TMM is equal or greater than O2HHb |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
      • Lower Hemoglobin Delivery Volume if:
        • The value of |Y|O2HHb of the analyzed TMM a is less than O2HHb |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
    • Determine the type of performance of the Factor (B.2.1.3) that develops at least one analyzed TMM, in the analyzed INTTL or R-INTTL, based on the following criteria:
      • Higher Blood Flow Delivery Rate if:
        • The value of |Y|ϕO2HHb of the analyzed TMM is greater than the value of ϕO2HHb|custom-character|custom-character, in the analyzed INTTL or R-INTTL.
      • Optimal Blood Flow Delivery Rate if:
        • The value of |Y|ϕO2HHb of the analyzed TMM is equal or less than of ϕO2HHb |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
        • The value of |Y|ϕO2HHb of the analyzed TMM is equal or greater than ϕO2HHb |custom-character|custom-character, in the analyzed INTTL or R-INTTL.
      • Lower Blood Flow Delivery Rate if:
        • The value of |Y|ϕO2HHb of the analyzed TMM is less than ϕO2HHb |custom-character|custom-character, in the analyzed INTTL or R-INTTL.


B2.2. Functional Sympatholysis Factor for Blood Flow Redistribution

During exercise, the active muscles contract and vasodilation occurs due to various mechanical, nervous and metabolic factors. If this vasodilation occurs excessively, it can “threaten” the systemic regulation of blood pressure throughout the body, for that reason the sympathetic nervous system does a vascular vasoconstriction to maintain blood pressure and blood flow levels in order to maintain regular oxygen supply to the brain and vital organs (Functional Sympatholysis).


Regulation of blood flow to skeletal muscle is closely linked to metabolic oxygen demand and with a change in oxygen requirement leading to a proportional change in blood flow. The precise control of the regulation of blood flow serves to minimize the work of the heart, while ensuring an adequate supply of oxygen to the working muscles. The need for this precise control of blood flow to the muscle becomes apparent when you consider that active skeletal muscle comprises about ˜40% of body mass and that muscle-specific blood flow can increase nearly 100-fold from rest to intense exercise. Given the limitation in maximum cardiac output, the heart can only supply a fraction of the active muscles with maximum blood flow and during high intensity exercises involving greater muscle mass, vascular conductance has to be well regulated or pressure blood pressure could drop.


This factor evaluates and analyzes the performance of Functional Sympatholysis, that is, the performance of the nervous system on cardiovascular function in the redistribution of blood flow. In order to analyze this factor, rest intervals are used, since once the exercise ceases, the vasoconstrictive effect of the nervous system ceases, but the opposing vasodilator effects at the muscular level remain active as they are slower. This allows to analyze the magnitude of their performance during the exercise that was previously carried out.


In order to evaluate and establish the performance of Factor (B2.2), the following steps must be followed and the established criteria must be met:

    • Calculate, compare and evaluate the maximum value of SmO2%, O2HHb and ϕO2HHb of all TMSM, in at least one ID.
    • Calculate, evaluate and determine the value of CSV and the equivalent NSCSV of the maximum value of SmO2%, ϕO2HHb and O2HHb, of all TMSM, in at least one ID.
    • Calculate, evaluate and determine the lowest value of CSV and the equivalent NSCSV of the maximum value of SmO2%, ϕO2HHb and O2HHb, from the combination of at least the 70-75% of the TMSM, in at least one ID.
    • Determine the type of performance of the Factor (B.2.2), just at the moment of cessation of locomotor work, based on the following criteria:
      • Perfect performance if:
        • The maximum values of SmO2%, O2HHb and ϕO2HHb are symmetrically perfect, between all TMSM, in the analyzed ID.
      • Optimal performance if:
        • The maximum values of SmO2%, O2HHb and ϕO2HHb, are symmetrically optimal, between the combination of at least the 70-75% of the TMSM, in the analyzed ID.
      • Asymmetric Performance if:
        • The maximum values of SmO2%, O2HHb and ϕO2HHb, are not symmetrically optimal, between the combination of at least the 70-75% of the TMSM, in the analyzed ID.


B2.3. Evolution Factor of Analytical Cardiovascular Performance (B2.3)

When multiple work intervals are performed with their respective rest intervals, the evolution of cardiovascular performance in the delivery/demand of blood flow of a muscle tissue can be evaluated. This factor analyzes the evolution of this performance and for this a comparison is made between the values of the analyzed muscle tissue, in the rest intervals analyzed.


In order to evaluate and establish the performance of Factor (B2.3), the following steps must be followed and the established criteria must be met:

    • Calculate, compare and evaluate the maximum value of SmO21 between two ID, separated by at least one IT of at least one TMM.
    • Determine the type of performance of the Factor (B.2.3) that develops, at least one analyzed TMM, between two ID, separated by a IT, based on the following criteria:
      • Significant increase:
        • Increase >5% SmO2%, in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD.
      • Slight Increase:
        • Increase between [2.01-5%] SmO2%, in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD.
      • Slight decrease if:
        • Decrease between [2.01-5%] SmO2% in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD.
      • Significant decrease if:
        • Decrease >5% SmO2%, in the maximum value of SmO2% of the analyzed TMM, in the 2nd ID in compared to the 1ST LD.
      • Maintenance if:
        • Decrease or increase of between [0-2%] SmO2%, in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD


B2.4. Muscle Pumping Factor of Blood Flow

The Muscle Blood Flow Pumping Factor is that factor that analyzes and evaluates the performance of each muscle tissue during locomotor movement to perform muscle contraction and compress the blood vessels located in said muscle tissues. This compression of the blood vessels causes the venous return of blood flow to the heart.


Each muscle tissue must be able to generate sufficient mechanical stress on the blood vessels to drive blood flow through the venous system. The collective performance of this factor is important to maintain efficient venous return.


The cardiovascular system is a closed circuit system, any alteration of the maximum venous return potential affects the entire cardiovascular system, because if the maximum volume of blood that returns to the heart through the venous return decreases, cardiac filling will decrease, then the stroke volume will be lower, and later the arterial pressure will drop, since the volume of blood ejected by the heart will be lower.


To establish a Limitation on Factor (B2.4) in at least one TMM, the following steps and criteria must be met:

    • Calculate, compare and evaluate the TGV [custom-character] of custom-character|Y|ThB of at least one TMM, in the R-INTTL (UAe−UANA) and (UANA−Maximum Intensity [IntMax]).
    • The value of |Y|SmO2% of the analyzed TMM is less than or equal to 45% SmO2%, in at least one INTTL or R-INTTL greater than or equal to UAmin.
    • Determine if the following criteria are met to establish a limitation in Factor (B2.4):
      • The TGV custom-character|Y|ThB of the analyzed TMM is [custom-character>0.0005], in the R-INTTL (UAe−UANA) or (UANA−Maximum Intensity [IntMax]).
      • The value of |Y|SmO2% of the analyzed TMM is less than or equal to 45% SmO2%, in at least one INTTL or R-INTTL greater than or equal to UAmin.


B3. Neurovascular System
B3.1. Neuromuscular Activation Factor (Intermuscular Coordination)

The Neuromuscular Activation Factor (Intermuscular Coordination) is that factor that analyzes and evaluates the performance of the nervous system to activate each muscle tissue during locomotor movement. This factor includes the analysis, evaluation and comparison between the different levels of metabolic activation generated by the nervous system between the muscular tissues that participate in locomotor activity (Intermuscular Coordination).


A perfect or efficient neuromuscular activation of all muscle tissues is one in which all muscle tissues involved in locomotor activity have the same level of metabolic activation to cope with the demands of locomotor movement.


When there are multiple levels of activation, an optimal (efficient) activation range is established to be able to assess the activation level of each muscle tissue individually. A muscle tissue that is below or above said optimal activation zone can be interpreted that that tissue has a higher u/or lower muscle activation and therefore the metabolic efficiency of the set of muscle tissues decreases.


A greater symmetry in the levels of muscle activation during locomotor work translates into a lower energy cost to cope with said locomotor work/movement, on the other hand, a greater asymmetry of the whole and/or a muscle tissue means a higher energy cost for cope with locomotor work/movement [Running Economy].


Therefore, there is an individual muscle activation level of each muscle tissue and a global muscle activation of all muscle tissues for each intensity of locomotor work of an evaluated subject, that is, multiple neuromuscular activation factors.


To establish a Factor Performance Level (B3.1) of at least one TMM, the following steps and criteria must be met:

    • Evaluate the value |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of at least one TMM, in at least one INTTL or R-INTTL greater or equal than UAmin.
    • Calculate the SmO2%, O2HHb and ϕO2HHb values of the Upper Limit of the Optimal Zone (|custom-character|custom-character) and the Lower Limit of the Optimal Zone (|custom-character|custom-character), in the determined INTTL or R-INTTL, from the following calculation:





|custom-character|custom-character=(Mediana de{|Y|1;|Y|2;|Y|3; . . . ,})+(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2





|custom-character|custom-character=(Mediana de{|Y|1;|Y|2;|Y|3; . . . ,})−(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2


where |Y| is the value (SmO2%, O2HHb or ϕO2HHb) of each TMM, in the determined INTTL or R-INTTL and (σ) the standard deviation of (SmO2%, O2HHb or ϕO2HHb) of each TMM, in the determined INTTL or R-INTTL.

    • Compare and evaluate the values of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of at least one TMM with the values of (SmO2%, O2HHb and ϕO2HHb of the |custom-character|custom-character and the |custom-character|custom-character, in at least one determined INTTL or R-INTTL greater or equal than UAmin.
    • determine the level of Neuromuscular Activation performed by at least one TMM (Factor B3.1), based on the following criteria:
      • Null or Very Low Neuromuscular Activation if:
        • The value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of the TMM analyzed is greater than SmO2%, O2HHb and ϕO2HHb|custom-character|custom-character, in the determined INTTL or R-INTTL
        • The value of |Y|SmO2% of the TMM analyzed, is ≥75% SmO2% in the determined INTTL or R-INTTL.
      • Less or Low Neuromuscular Activation if:
        • The value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of the TMM analyzed is greater than SmO2%, O2HHb and ϕO2HHb|custom-character|custom-character, in the determined INTTL or R-INTTL.
        • The value of |Y|SmO2% of the TMM analyzed, is <75% SmO2%, in the determined INTTL or R-INTTL
      • Optimal Neuromuscular Activation if:
        • The value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of the TMM analyzed, is less than SmO2%, O2HHb and ϕO2HHb |custom-character|custom-character, in the determined INTTL or R-INTTL.
        • The value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of the TMM analyzed, is greater than SmO2%, O2HHb and ϕO2HHb |custom-character|custom-character, in the determined INTTL or R-INTTL
      • Excessive or Priority Neuromuscular Activation if
        • The value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of the TMM analyzed, is less than SmO2%, O2HHb and ϕO2HHb |custom-character|custom-character, in the determined INTTL or R-INTTL.
        • The value of |Y|SmO2% of the TMM analyzed is ≤25% SmO2%, in some INTTL or R-INTTL
      • High Neuromuscular Activation if:
        • The value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of the TMM analyzed, is less than SmO2%, O2HHb and ϕO2HHb |custom-character|custom-character, in the determined INTTL or R-INTTL.
        • The value of |Y|SmO2% of the TMM analyzed is >25% SmO2%, in all the INTTL or R-INTTL greater than or equal to UAmin.


B3.2. Neurovascular Structural Factor (Speed and Power of Muscle Contraction)

The Neurovascular Structural Factor (Speed and Power of Muscle Contraction) is that factor that analyzes and evaluates the potential of [vasodilation vs vasoconstriction] in each muscle tissue evaluated.


When the action potential is produced in the muscle tissue to produce the muscle contraction necessary for locomotor movement, this nerve potential also has an inhibitory effect and some chain responses that cause an inhibition of the vasoconstrictive effect of the sympathetic nervous system. On the other hand, it causes marked vasodilation in the arteriolar tissues close to the place where the action potential is produced.


Therefore, vasodilation in muscle tissues is directly correlated with the speed of muscle contraction and/or the level of activation of said muscle tissue. Muscle tissue must have an optimal level of vasodilation to allow optimal oxygen-laden blood flow to arrive. Excessive vasodilation may mean that excessively vasodilated muscle tissue receives a greater volume of blood flow, more than is necessary to meet the metabolic oxygen demands that muscle tissue requires. This fact causes an inefficiency in the delivery of oxygen-laden blood flow by not being able to deliver this excess blood flow to other muscle tissues that do require it, causing a deficit in the delivery of oxygen-laden blood flow.


To establish a Limitation on Factor (B3.2) in at least one TMM, the following steps and criteria must be met:

    • Calculate the median value of ThB (ThB), of at least one TMM, in at least one IT of average INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate the standard deviation (σ) of at least one TMM, in at least one IT of average INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate the minimum value of ThB in at least one ID perform after an IT analyzed, of average INTTL or R-INTTL greater than or equal to UAmin.
    • Calculate and evaluate the difference between [(Y̆ThB)−σ] of at least one IT and the minimum value of ThB of his posterior/successive ID.
    • Determine if the following criteria are met to establish a limitation in Factor (B3.2) in at least one TMM:
      • The value [Median Y̆ThB−σThB] of the analyzed TMM, of the analyzed IT of INTTL or R-INTTL greater than or equal to UAmin, is greater than the minimum value of ThB of the successive ID to the analyzed IT.


B3.3. Muscle Contraction Speed

The Muscle Contraction Speed Factor is that factor that analyzes and evaluates the frequency at which muscle contractions occur during locomotor activity.


To produce a muscle contraction, the nervous system produces an electrical impulse that causes alterations in cellular metabolism to generate the contraction of muscle fibers. Said electrical impulse also has an inhibiting effect on the local vasoconstrictor receptors of the arteriolar network of the muscle.


A high production of these impulses produces a high inhibition of vasoconstrictors and consequently increases the vasodilation of the arteries in the TM. At a certain point, an excessive vasodilation produces an excess delivery of blood flow, whereas a low frequency of electrical impulse discharge in the muscle will produce a low vasodilation and a greater vasoconstriction, producing an arterial occlusion mediated by the sympathetic nervous system.


For this reason, this factor is in charge of evaluating muscle performance as a whole to establish which muscle contraction frequency (FCM) or Muscle Contraction Frequency Range (R-FCM) is optimal for the hemodynamic performance of the cardiovascular system.


To evaluate and establish the performance of Factor (B3.3) in the set of TMM, the following steps and criteria must be met:

    • Calculate, compare and evaluate the median value (Y̆) of SmO2%, O2HHb, ϕO2HHb, HHb and ϕHHb, of each TMM, in at least one determined INTTL or R-INTTL, in each one of the developed FCM and in the determined environmental conditions, during the AFCM.
    • Determine all the Optimal FCM or Optimal R-FCM, of at least one determined INTTL or R-INTTL, under certain environmental conditions, during AFCM, based on the fulfillment of the following criteria established for the factor (B3.3):
      • Have the highest value of Y̆SmO2% or a difference ≤(±2.5%) SmO2% with respect to the highest value Y̆SmO2%, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM.
      • Have the highest value of Y̆O2HHb% or a difference ≤(±0.30 g/dL) O2HHb with respect to the highest value Y̆O2HHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM.
      • Have the highest value of Y̆ϕO2HHb% or a difference ≤(±1.00 g/dL) ϕO2HHb with respect to the highest value Y̆ϕO2HHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM.
      • Have the lowest value of Y̆HHb% or a difference ≤(±1.00 g/dL) HHb with respect to the lowest value Y̆HHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM.
      • Have the lowest value of Y̆ϕHHb% or a difference ≤(±1.00 g/dL) ϕHHb with respect to the lowest value Y̆ϕHHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM.


The method of the invention described is of particular interest in the following practical applications, in which its advantages are evident:


1) Sports and Physical Activity Area

    • Evaluation of sports performance and/or physical activity:
      • The method of the invention makes it possible to individually evaluate the hemodynamic performance of each TMM during an AFC and establish an individual performance level for each TMM. It also allows you to analyze the global performance of all TMSM developed during the AFC.
      • It allows identifying the physiological factor and/or factors that limit locomotor performance or affect positively and/or negatively, to a greater and/or lesser extent to performance.
      • It allows to quantify the economy/efficiency of locomotor performance and establish which factor or factors affect positively and negatively.
      • It allows to evaluate and monitor the fatigue of the sympathetic nervous system
      • It allows to evaluate, monitor and establish the multiple physiological thresholds associated to one INTTL or R-INTTL
      • It allows to evaluate, monitor and establish the optimal muscle contraction frequencies for the AFC performed.
    • Applications in Biomechanical Evaluations, performance evaluations of technical gestures and/or aerodynamic evaluations:
      • The described method allows to evaluate the performance of the TMSM in different AFC conditions (modification of biomechanical patterns, technical gestures, body posture . . . ) and to establish which of the different conditions developed reports a better muscular hemodynamic performance for the analyzed subject.
    • Nutritional and pharmacological applications:
      • The method of the invention also makes it possible to evaluate the effect produced by the intake of nutritional supplements, the different dietary habits or the application of subcutaneous substances on muscle hemodynamic performance during AFC.
    • Applications in Rehabilitations, return to sport and injury prevention
      • The method of the invention makes it possible to evaluate, monitor and establish the performance of TMSM during evolution or recovery within a rehabilitation program, readaptation (return to sport) of one or more TMSM after an injury, accident and/or illness.
      • It allows to evaluate, monitor and establish the performance of the TMSM and detect possible alterations, decreases or inefficiencies in muscle performance during AFC that may pose a risk of injury during the next AFCM
    • Monitoring the hemodynamic performance of TMSM continuously during training plans:
      • The method of the invention makes it possible daily to evaluate performance during a training or physical activity plan to determine the evolution of the hemodynamic performance of at least some performance factors


2) Area of Medicine, Physiotherapy, Dietetics and Research:

    • Evaluate the effect of the application or introduction of medications, drugs, nutritional supplements, ergogenic or similar on muscle hemodynamic performance during locomotor exercise.
    • The method described allows to evaluate the variation in the hemodynamic performance due to the effect of the substance, either the immediate effect, evaluating the alterations that it produces immediately, or for a determined time by means of pre & post evaluation procedure.
    • Scientific studies: The method described allows to evaluate the effect caused by the application of invasive or non-invasive intervention protocols on the hemodynamic performance of muscle tissues during locomotor actions.


3) Industrial and Textile Area:

    • Evaluation of the effect produced by the use of different textile fabrics on muscle hemodynamic performance during locomotor exercise, either through variations in sizes, shapes, composition of materials, colours and/or others.
    • Adjustment of the dimensions and technical measurements of devices or tools that are used in AFC from the patterns obtained in the hemodynamic evaluation. For example, in the manufacture of bikes, prostheses or materials with which physical activity is carried out, adjusting the dimensions and measurements to each person.


The monitoring method of the invention described makes it possible to evaluate and monitor the muscle hemodynamic performance of all TMSM analytically, globally and both at the same time, during a AFC. This evaluation includes TMSM that are not directly involved in locomotor work, such as the muscular tissues responsible for respiratory movements.


Likewise, the method of the invention allows the generation of an individualized physiological profile, as it offers complete information on the factors that affect or limit the analytical hemodynamic performance of each TMM and, at the same time, the general hemodynamic performance of all TMSM as a whole. Thus establishing, in a very analytical way, the physiological factors that limit the performance of subject.


On the other hand, the method of the invention allows the analysis to be carried out in the training sessions themselves without the need to make any modification of the AFC that the subject is developing, or any specific protocol, or any environmental or environmental conditions. On the contrary, the usual evaluation methods generally require a controlled environment, in laboratories or closed places, moving away from the reality of the AFC developed by the majority of subjects.


The method of the invention also makes it possible to quantify the running economy or efficiency of work of TMSM from an analytical physiological point of view. By analyzing the individual performance of each TMM separately, then jointly with other TMSM, it allows quantifying the running economy or efficiency of work to be able define it, as well as establishing the specific tissues and/or factors that positively affect and/or negatively to the economy of work.


The evaluation methods, up to now, measured and quantified the efficiency of locomotor performance from general values of the whole body such as the analysis of metabolic gases or blood lactate concentrations, or using external variables such as power development values or measurements of strength in exercises. However, with the method of the invention, the performance performed by each of the muscle tissues is directly evaluated and at the same time the global work, allowing to identify the muscle tissues that are negatively affecting the economy of work and, at the same time, evaluate how the performance is being in the set of muscular tissues.


By identifying the factors that negatively affect or limit performance, the method of the invention makes it possible to establish action or training protocols to specifically improve said factors optimally and improve locomotor performance.


Currently, there is no other monitoring method that allows offering analytical and global information on hemodynamic performance in a non-invasive way, with the advantages of the method of the invention.


The invention also refers to a monitoring and evaluation system of the physical performance of a subject comprising:

    • two or more near infrared sensors (NIRS);
    • a cardiac monitoring device;
    • a locomotor work intensity device or monitor;
    • a data processing system connected to the two or more near infrared sensors (NIRS), the cardiac monitoring device and the locomotor work intensity device or monitor and configured to carry out the steps of the method of the invention previously described.





DESCRIPTION OF THE DRAWINGS

To complement the description that is being made and in order to help a better understanding of the characteristics of the invention, according to a preferent example of a practical embodiment thereof, a set of drawings is attached as an integral part of said description, in which, for illustrative and non-limiting purposes, the following has been represented:



FIG. 1 shows the general scheme of all the factors that allows evaluating and analyzing the muscle hemodynamic performance of all muscle tissues as a whole or the analytical performance of each muscle tissue.



FIG. 2 graphically represent the cyclical Physical Activity performed by the subject and the values of (1) Heart Rate [bpm], (2) Pedalling Cadence [rpm] and (3) Power [Watts].



FIG. 3 graphically represent the relationship between the values of SmO21 (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 4 graphically represent the relationship between the values of SmO2% (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 5 graphically represent the relationship between the values of SmO2% (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 6 graphically represent the relationship between the values of SmO2% (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 7 graphically represent the relationship between the values of SmO2% (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 8 graphically represent the relationship between the values of SmO2% (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 9 graphically represent the relationship between the values of SmO2% (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 10 graphically represent the relationship between the values of ThB (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 11 graphically represent the relationship between the values of ThB (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 12 graphically represent the relationship between the values of ThB (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 13 graphically represent the relationship between the values of ThB (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 14 graphically represent the relationship between the values of ThB (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 15 graphically represent the relationship between the values of ThB (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 16 graphically represent the relationship between the values of ThB (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 17 graphically represent the relationship between the values of ϕThB (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 18 graphically represent the relationship between the values of ϕThB (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 19 graphically represent the relationship between the values of ϕThB (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 20 graphically represent the relationship between the values of ϕThB (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 21 graphically represent the relationship between the values of ϕThB (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 22 graphically represent the relationship between the values of ϕThB (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 23 graphically represent the relationship between the values of ϕThB (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 24 graphically represent the relationship between the values of O2HHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 25 graphically represent the relationship between the values of O2HHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 26 graphically represent the relationship between the values of O2HHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 27 graphically represent the relationship between the values of O2HHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 28 graphically represent the relationship between the values of O2HHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 29 graphically represent the relationship between the values of O2HHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 30 graphically represent the relationship between the values of O2HHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 31 graphically represent the relationship between the values of HHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 32 graphically represent the relationship between the values of HHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 33 graphically represent the relationship between the values of HHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 34 graphically represent the relationship between the values of HHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 35 graphically represent the relationship between the values of HHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 36 graphically represent the relationship between the values of HHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 37 graphically represent the relationship between the values of HHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 38 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 39 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 40 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 41 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 42 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 43 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 44 graphically represent the relationship between the values of ϕO2HHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 45 graphically represent the relationship between the values of ϕHHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).



FIG. 46 graphically represent the relationship between the values of ϕHHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).



FIG. 47 graphically represent the relationship between the values of ϕHHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).



FIG. 48 graphically represent the relationship between the values of ϕHHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).



FIG. 49 graphically represent the relationship between the values of ϕHHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).



FIG. 50 graphically represent the relationship between the values of ϕHHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).



FIG. 51 graphically represent the relationship between the values of ϕHHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).



FIG. 52 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 53 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 54 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 55 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 56 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 57 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 58 graphically represent the relationship between the values of the slope custom-character|Y|SmO2% (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).



FIG. 59 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 60 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 61 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 62 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 63 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 64 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 65 graphically represent the relationship between the values of the slope custom-character|Y|ThB (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).



FIG. 66 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 67 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 68 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 69 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 70 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 71 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 72 graphically represent the relationship between the values of the slope custom-character|Y|ϕThB (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).



FIG. 73 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 74 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 75 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 76 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 77 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 78 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 79 graphically represent the relationship between the values of the slope custom-character|Y|O2HHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).



FIG. 80 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 81 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 82 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 83 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 84 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 85 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 86 graphically represent the relationship between the values of the slope custom-character|Y|HHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).



FIG. 87 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 88 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 89 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 90 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 91 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 92 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 93 graphically represent the relationship between the values of the slope custom-character|Y|ϕO2HHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).



FIG. 94 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).



FIG. 95 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).



FIG. 96 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).



FIG. 97 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).



FIG. 98 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).



FIG. 99 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).



FIG. 100 graphically represent the relationship between the values of the slope custom-character|Y|ϕHHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).





PREFERENTIAL REALIZATION OF THE INVENTION

Subject Evaluated

    • Age: 25 years
    • Height: 178 cm
    • Gender: Male
    • Weight: 68 Kg
    • Sport: Cycling


Material Used for the Activity or Monitored Locomotor Exercise

    • 14 NIRS devices
    • 1 Power Sensor
    • 1 Direct drive roller
    • 1 Cadence Sensor
    • 1 Heart Rate Band
    • 1 Activity Monitor
    • 1 Road Bike of the subject's own


Data Recording Procedures for the Evaluation and Monitoring Method

    • 1. Place and adhere 12 near-infrared spectroscopy (NIRS) devices on each monitored muscle tissue that involved in locomotor activity during cycling (TMM):
      • a. Right Vastus Lateral (VL R) and Left Vastus Lateral (VL L)
      • b. Right Rectus Femoris (RF R) and Left Rectus Femoris (RF L)
      • c. Right Vast Internal (VI R) and Left Vast Internal (VI L)
      • d. Right Semitendinosus (ST R) and Left Semitendinosus (ST L)
      • e. Right Gluteus Maximus (GM R) and Left Gluteus Maximus (GM L)
      • f. Right Gastrocnemius (GA R) and Left Gastrocnemius (GA L)
      • g. Right Tibialis Anterior (AT R) and Left Tibialis Anterior (TA L)
    • 2. Place the heart rate band superficially under the user's chest.
    • 3. Start the data logging of all devices and activity monitors when the activity starts, recording of (hour: minute: second) exact of the start of the locomotive activity.
    • 4. Locomotive Activity Monitored and Recorded (AFCM):
      • a. In the Table 1 shows the characteristics of the locomotor work session carried out and the data related to external locomotor performance parameters. In FIG. 2, can see the graphic representation of the external locomotor performance values developed by the subject during the session.









TABLE 1







The data of the session carried out














Start
Power (Watts)
Cadence (rpm)
HR (ppm)





















Work
Duration
Time


Desv



Desv



Desv



Interval
(hh:mm:ss)
(hh:mm:ss)
Average
Median
Est
Max
Average
Median
Est
Max
Average
Median
Est
Max
























IT 01
0:10:00
0:00:00
88
84
20
221
77
79
12
87
109
109
5.7
119


ID 01
0:03:00
0:10:00








98
93
11



IT 02
0:04:00
0:13:00
148
150
15
175
34
0
45
95
127
131
12
137


ID 02
0:01:00
0:17:00








116
123
15



IT 03
0:04:00
0:18:00
150
150
20
315
66
69
15
73
122
126
11
131


ID 03
0:01:00
0:22:00








116
123
12



IT 04
0:04:00
0:23:00
148
150
14
163
84
90
22
95
126
130
11
137


ID 04
0:01:00
0:27:00








120
120
7.6



IT 05
0:04:00
0:28:00
148
150
16
160
73
76
15
79
124
127
8.2
132


ID 05
0:01:00
0:32:00








108
102
12



IT 06
0:04:00
0:33:00
149
150
12
163
82
85
15
90
127
130
9.5
134


ID 06
0:01:00
0:37:00








114
110
9.9



IT 07
0:04:00
0:38:00
149
150
11
159
78
81
15
85
126
130
8.3
133


ID 07
0:06:00
0:42:00








103
102
11



IT 08
0:04:00
0:48:00
99
101
10
113
77
81
16
87
114
116
9.7
123


ID 08
0:01:00
0:52:00








106
104
5.7



IT 09
0:04:00
0:53:00
124
125
13
165
77
80
15
85
122
125
7.9
129


ID 09
0:01:00
0:57:00








110
106
9.2



IT 10
0:04:00
0:58:00
148
150
14
172
78
81
15
83
131
134
8.8
139


ID 10
0:01:00
1:02:00








122
125
9.2



IT 11
0:04:00
1:03:00
173
175
16
192
77
80
18
85
137
141
11
148


ID 11
0:01:00
1:07:00








131
130
8.8



IT 12
0:04:00
1:08:00
195
200
25
212
77
80
15
84
148
153
13
160


ID 12
0:01:00
1:12:00








135
130
14



IT 13
0:04:00
1:13:00
212
222
30
232
78
81
16
85
159
164
15
172


ID 13
0:01:00
1:17:00








146
143
17



IT 14
0:04:00
1:18:00
245
249
23
261
79
83
16
87
169
176
17
182


ID 14
0:01:00
1:22:00








157
160
16



IT 15
0:04:00
1:23:00
268
274
40
288
79
83
16
87
179
186
17
192


ID 15
0:01:00
1:27:00








167
166
17



IT 16
0:01:37
1:28:00
277
297
66
315
52
72
33
78
175
181
14
190











    • 5. Ending of locomotor activity and ending of data recording

    • 6. Download, synchronization and union of all the data obtained by each device, through the individual registration timescale of each device used during the session.

    • 7. The values are calculated for each TMM of Oxygen-Charged Capillary Hemoglobin (O2HHb), Oxygen-Discharged Capillary Hemoglobin (HHb), Muscle Hemoglobin Blood Flow (ϕThB), Muscular Blood Flow of Oxygen-Charged Capillary Hemoglobin (O2HHb) and Muscular Blood Flow of Oxygen-Discharged Hemoglobin (ϕHHb), from the recorded data of Muscle Oxygen Saturation (SmO2%) and Capillary Hemoglobin (ThB).

    • 8. Data obtained erroneously and/or by device registration error during activity are filtered and excluded. Data that are not within the following parameters and all data obtained from the calculation of any of them are excluded:
      • a. SMO2% [Between 1% SmO2 and 99% SmO2]
      • b. ThB [Between 9.5 g/dL and 14.9 g/dL]
      • c. HR [Between 40 bpm and 230 bpm]

    • 9. The data that present a greater difference than that established in the following parameters between the determined value and the contiguous values in the temporary register are filtered and excluded, and all the data obtained from the calculation of any of the they:
      • a. Difference of SMO2% [>±10% SmO2%]
      • b. Difference of ThB [>±0.3 g/dL]
      • c. Difference of HR [>±7 ppm]

    • 10. In FIG. 3-9, the data obtained during the activity in dispersion data where the SmO2% values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • 11. In FIG. 10-16, the data obtained during the activity in dispersion data where the ThB values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • 12. In FIG. 17-23, the data obtained during the activity in dispersion data where the ϕThB values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • 13. In FIG. 24-30, the data obtained during the activity in dispersion data where the O2HHb values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • 14. In FIG. 31-37, the data obtained during the activity in dispersion data where the HHb values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • 15. In FIG. 38-44, the data obtained during the activity in dispersion data where the ϕO2HHb values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • 16. In FIG. 38-44, the data obtained during the activity in dispersion data where the ϕHHb values obtained and/or calculated are established on the axis (y) and the locomotor performance data values on the axis (x) external power developed during locomotive activity can be observed.

    • Analysis and Evaluation of the Recorded Data of the Locomotor Performance

    • 1. Calculation of the Minimum Activation Threshold (UAmin), Aerobic Threshold (UAe) and Anaerobic Threshold (UANA).
      • 1.1. The values obtained of Power or Cadence of Pedalling equivalent to “0” are filtered and excluded.
      • 1.2. From the values represented in FIGS. 3-58, the General Trend Line of the Values is obtained for each graph.
      • 1.3. In Table 2, the Equation of the Trend Line |Y|SmO2/calculated from the values of SmO2% of each TMM can be observed.












TABLE 2







Equation of the Trend Line of |Y|SmO2% of each TMM









TM

Equation of the Trend Line |Y|SmO2





RF L
|Y| =
−2E−11x6 + 3E−08x5 − 1E−05x4 + 0.0031x3 − 0.4032x2 + 27.173x − 657.15


RF R
|Y| =
−9E−12x6 + 1E−08x5 − 6E−06x4 + 0.0014x3 − 0.202x2 + 14.059x − 315.89




Represented in FIG. 3


VL L
|Y| =
−1E−11x6 + 2E−08x5 − 7E−06x4 + 0.0018x3 − 0.2428x2 + 16.733x − 385.62


VL R
|Y| =
−1E−11x6 + 1E−08x5 − 7E−06x4 + 0.0018x3 − 0.2431x2 + 16.924x − 392.28




Represented in FIG. 4


ST L
|Y| =
−1E−11x6 + 1E−08x5 − 6E−06x4 + 0.0014x3 − 0.191x2 + 13.395x − 306.51


ST R
|Y| =
−1E−11x6 + 1E−08x5 − 7E−06x4 + 0.0017x3 − 0.2249x2 + 15.067x − 319.87




Represented in FIG. 5


GM L
|Y| =
−5E−12x6 + 6E−09x5 − 3E−06x4 + 0.0009x3 − 0.1306x2 + 9.7767x − 203.18


GM R
|Y| =
−5E−12x6 + 7E−09x5 − 4E−06x4 + 0.0009x3 − 0.1303x2 + 9.1126x − 157.57




Represented in FIG. 6


VI L
|Y| =
−1E−11x6 + 2E−08x5 − 8E−06x4 + 0.002x3 − 0.2713x2 + 19.337x − 493.21


VI R
|Y| =
−2E−11x6 + 2E−08x5 − 1E−05x4 + 0.0024x3 − 0.2972x2 + 18.768x − 407.38




Represented in FIG. 7


GA L
|Y| =
2E−11x6 − 2E−08x5 + 1E−05x4 − 0.0027x3 + 0.3333x2 − 20.338x + 545.65


GA R
|Y| =
2E−11x6 − 3E−08x5 + 1E−05x4 − 0.0027x3 + 0.3227x2 − 19.531x + 537.28




Represented in FIG. 8


TA L
|Y| =
−3E−11x6 + 3E−08x5 − 1E−05x4 + 0.0033x3 − 0.4137x2 + 26.652x − 628.77


TA R
|Y| =
−1E−11x6 + 2E−08x5 − 8E−06x4 + 0.002x3 − 0.281x2 + 19.933x − 502.86




Represented in FIG. 9





[(x) represents the analyzed power value; (|Y|) represents the value of SmO2%]










      • 1.4. In Table 3, the Equation of the Trend Line |Y|ThB calculated from the values of ThB of each TMM can be observed.














TABLE 3







Equation of the Trend Line of |Y|ThB of each TMM









TM

Equation of the Trend Line |Y|ThB





RF L
|Y| =
−5E−14x6 + 7E−11x5 − 4E−08x4 + 1E−05x3 − 0.0016x2 + 0.1291x + 8.6505


RF R
|Y| =
−1E−13x6 + 2E−10x5 − 9E−08x4 + 2E−05x3 − 0.0029x2 + 0.1952x + 7.2974




Represented in FIG. 10


VL L
|Y| =
4E−13x6 − 5E−10x5 + 2E−07x4 − 5E−05x3 + 0.0063x2 − 0.4036x + 22.558


VL R
|Y| =
−3E−13x6 + 3E−10x5 − 2E−07x4 + 4E−05x3 − 0.005x2 + 0.3382x + 3.0815




Represented in FIG. 11


ST L
|Y|=
−2E−13x6 + 3E−10x5 − 1E−07x4 + 4E−05x3 − 0.0051x2 + 0.3543x + 2.395


ST R
|Y|=
4E−13x6 − 5E−10x5 + 3E−07x4 − 6E−05x3 + 0.0083x2 − 0.5663x + 27.62




Represented in FIG. 12


GM L
|Y| =
−6E−13x6 + 7E−10x5 − 3E−07x4 + 8E−05x3 − 0.0108x2 + 0.7317x − 7.9018


GM R
|Y| =
−6E−13x6 + 7E−10x5 − 3E−07x4 + 8E−05x3 − 0.0103x2 + 0.6872x − 6.6108




Represented in FIG. 13


VI L
|Y| =
1E−13x6 − 1E−10x5 + 7E−08x4 − 2E−05x3 + 0.0021x2 − 0.1426x + 16.574


VI R
|Y| =
2E−13x6 − 2E−10x5 + 9E−08x4 − 2E−05x3 + 0.003x2 − 0.2031x + 18.268




Represented in FIG. 14


GA L
|Y| =
−6E−13x6 + 7E−10x5 − 3E−07x4 + 8E−05x3 − 0.0104x2 + 0.6759x − 5.4769


GA R
|Y| =
−5E−13x6 + 6E−10x5 − 3E−07x4 + 6E−05x3 − 0.0085x2 + 0.5747x − 3.3749




Represented in FIG. 15


TA L
|Y| =
2E−13x6 − 3E−10x5 + 1E−07x4 − 3E−05x3 + 0.004x2 − 0.2698x + 20.29


TA R
|Y| =
4E−13x6 − 4E−10x5 + 2E−07x4 − 5E−05x3 + 0.0059x2 − 0.3943x + 23.108




Represented in FIG. 16





[(x) represents the analyzed power value; (|Y|) represents the value of ThB]










      • 1.5. In Table 4, the Equation of the Trend Line |Y|ϕThB calculated from the values of ϕThB of each TMM can be observed.














TABLE 4







Equation of the Trend Line of |Y|ϕThB of each TMM









TM

Ecuación de la Línea de Tendencia de |Y|ϕThB





RF L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0731x2 + 4.8586x − 105.1


RF R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0757x2 + 4.9991x − 108.03




Represented in FIG. 17


VL L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0755x2 + 5.006x − 109.18


VL R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0744x2 + 4.9425x − 108.01




Represented in FIG. 18


ST L
|Y|=
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0738x2 + 4.9112x − 107.45


ST R
|Y|=
−5E−12x6 + 5E−09x5 − 3E−06x4 + 0.0006x3 − 0.0787x2 + 5.1666x − 111.89




Represented in FIG. 19


GM L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0005x3 − 0.0699x2 + 4.6867x − 103.1


GM R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0005x3 − 0.0682x2 + 4.5589x − 99.743




Represented in FIG. 20


VI L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0779x2 + 5.1214x − 110.35


VI R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0784x2 + 5.1666x − 111.66




Represented in FIG. 21


GA L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0758x2 + 5.0374x − 110.73


GA R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0005x3 − 0.0717x2 + 4.8132x − 105.99




Represented in FIG. 22


TA L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0776x2 + 5.1066x − 109.44


TA R
|Y| =
−5E−12x6 + 5E−09x5 − 3E−06x4 + 0.0006x3 − 0.0782x2 + 5.1403x − 110.85




Represented in FIG. 23





[(x) represents the analyzed power value; (|Y|) represents the value of ϕThB]










      • 1.6. In Table 5, the Equation of the Trend Line |Y|O2HHb calculated from the values of O2HHb of each TMM can be observed.














TABLE 5







Equation of the Trend Line of |Y|O2HHb of each TMM









TM

Ecuación de la Línea de Tendencia de |Y|O2HHb





RF L
|Y| =
−3E−12x6 + 3E−09x5 − 2E−06x4 + 0.0004x3 − 0.0531x2 + 3.614x − 88.785


RF R
|Y| =
−3E−12x6 + 4E−09x5 − 2E−06x4 + 0.0005x3 − 0.0609x2 + 4.0896x − 99.856




Represented in FIG. 24


VL L
|Y| =
−3E−12x6 + 4E−09x5 − 2E−06x4 + 0.0004x3 − 0.0581x2 + 3.8815x − 94.091


VL R
|Y| =
−4E−12x6 + 4E−09x5 − 2E−06x4 + 0.0005x3 − 0.0643x2 + 4.3291x − 106.51




Represented in FIG. 25


ST L
|Y| =
−3E−12x6 + 4E−09x5 − 2E−06x4 + 0.0004x3 − 0.057x2 + 3.9203x − 98.558


ST R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0006x3 − 0.0727x2 + 4.7863x − 114.86




Represented in FIG. 26


GM L
|Y| =
−2E−12x6 + 3E−09x5 − 1E−06x4 + 0.0003x3 − 0.0403x2 + 2.7221x − 63.193


GM R
|Y| =
−2E−12x6 + 2E−09x5 − 8E−07x4 + 0.0002x3 − 0.0248x2 + 1.6246x − 31.521




Represented in FIG. 27


VI L
|Y| =
−3E−12x6 + 3E−09x5 − 2E−06x4 + 0.0004x3 − 0.0532x2 + 3.6317x − 91.927


VI R
|Y| =
−6E−12x6 + 7E−09x5 − 3E−06x4 + 0.0007x3 − 0.0882x2 + 5.4779x − 126.9




Represented in FIG. 28


GA L
|Y| =
−5E−12x6 + 6E−09x5 − 3E−06x4 + 0.0007x3 − 0.0971x2 + 6.5766x − 169.02


GA R
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0005x3 − 0.0722x2 + 4.8761x − 121.62




Represented in FIG. 29


TA L
|Y| =
−4E−12x6 + 5E−09x5 − 2E−06x4 + 0.0005x3 − 0.0671x2 + 4.3533x − 105.03


TA R
|Y| =
−4E−12x6 + 4E−09x5 − 2E−06x4 + 0.0005x3 − 0.0597x2 + 3.9817x − 98.479




Represented in FIG. 30





[(x) represents the analyzed power value; (|Y|) represents the value of O2HHb]










      • 1.7. In Table 6, the Equation of the Trend Line |Y|HHb calculated from the values of HHb of each TMM can be observed.














TABLE 6







Equation of the Trend Line of |Y|HHb of each TMM









TM

Ecuación de la Línea de Tendencia de |Y|HHb





RF L
|Y| =
3E−12x6 − 3E−09x5 + 1E−06x4 − 0.0004x3 + 0.047x2 − 3.1681x + 88.604


RF R
|Y| =
4E−12x6 − 4E−09x5 + 2E−06x4 − 0.0005x3 + 0.0606x2 − 3.9358x + 105.27




Represented in FIG. 31


VL L
|Y| =
3E−12x6 − 4E−09x5 + 2E−06x4 − 0.0004x3 + 0.0531x2 − 3.4848x + 94.389


VL R
|Y| =
4E−12x6 − 4E−09x5 + 2E−06x4 − 0.0005x3 + 0.0598x2 − 3.9644x + 107.4




Represented in FIG. 32


ST L
|Y| =
3E−12x6 − 4E−09x5 + 2E−06x4 − 0.0004x3 + 0.0554x2 − 3.6991x + 102.2


ST R
|Y| =
5E−12x6 − 5E−09x5 + 2E−06x4 − 0.0006x3 + 0.071x2 − 4.5624x + 118.74




Represented in FIG. 33


GM L
|Y| =
2E−12x6 − 3E−09x5 + 1E−06x4 − 0.0003x3 + 0.036x2 − 2.3767x + 64.476


GM R
|Y| =
2E−12x6 − 2E−09x5 + 1E−06x4 − 0.0002x3 + 0.0262x2 − 1.5959x + 39.38




Represented in FIG. 34


VI L
|Y| =
3E−12x6 − 3E−09x5 + 1E−06x4 − 0.0003x3 + 0.0444x2 − 3.0416x + 88.905


VI R
|Y| =
3E−12x6 − 3E−09x5 + 1E−06x4 − 0.0003x3 + 0.0409x2 − 2.562x + 68.472




Represented in FIG. 35


GA L
|Y| =
4E−12x6 − 5E−09x5 + 2E−06x4 − 0.0006x3 + 0.0829x2 − 5.7024x + 159.68


GA R
|Y| =
4E−12x6 − 5E−09x5 + 2E−06x4 − 0.0005x3 + 0.067x2 − 4.4753x + 121.62




Represented in FIG. 36


TA L
|Y| =
4E−12x6 − 5E−09x5 + 2E−06x4 − 0.0005x3 + 0.0606x2 − 3.8733x + 104.39


TA R
|Y| =
5E−12x6 − 6E−09x5 + 3E−06x4 − 0.0007x3 + 0.0885x2 − 5.8788x + 160.53




Represented in FIG. 37





[(x) represents the analyzed power value; (|Y|) represents the value of HHb]










      • 1.8. In Table 7, the Equation of the Trend Line |Y|ϕO2HHb calculated from the values of ϕO2HHb of each TMM can be observed.














TABLE 7







Equation of the Trend Line of |Y|ϕO2HHb of each TMM









TM

Ecuación de la Línea de Tendencia de |Y|ϕO2HHb





RF L
|Y| =
−7E−12x6 + 8E−09x5 − 4E−06x4 + 0.0009x3 − 0.1144x2 + 7.5826x − 184.2


RF R
|Y| =
−7E−12x6 + 8E−09x5 − 4E−06x4 + 0.0009x3 − 0.1242x2 + 8.2442x − 201.37




Represented in FIG. 38


VL L
|Y| =
−6E−12x6 + 7E−09x5 − 3E−06x4 + 0.0008x3 − 0.1051x2 + 7.1225x − 175.33


VL R
|Y| =
−5E−12x6 + 7E−09x5 − 3E−06x4 + 0.0008x3 − 0.1047x2 + 7.14x − 176.47




Represented in FIG. 39


ST L
|Y| =
−6E−12x6 + 7E−09x5 − 3E−06x4 + 0.0008x3 − 0.1026x2 + 6.98x − 173.68


ST R
|Y| =
−6E−12x6 + 7E−09x5 − 3E−06x4 + 0.0008x3 − 0.1069x2 + 6.972x − 162.39




Represented in FIG. 40


GM L
|Y| =
−6E−12x6 + 7E−09x5 − 3E−06x4 + 0.0008x3 − 0.1023x2 + 6.8896x − 166.47


GM R
|Y| =
−9E−12x6 + 1E−08x5 − 5E−06x4 + 0.0011x3 − 0.1328x2 + 8.5201x − 197.46




Represented in FIG. 41


VI L
|Y| =
−8E−12x6 + 9E−09x5 − 4E−06x4 + 0.0011x3 − 0.1435x2 + 9.7141x − 249.13


VI R
|Y| =
−1E−11x6 + 1E−08x5 − 5E−06x4 + 0.0012x3 − 0.1488x2 + 9.5092x − 226.58




Represented in FIG. 42


GAL
|Y| =
−7E−12x6 + 8E−09x5 − 4E−06x4 + 0.0011x3 − 0.1459x2 + 10.178x − 266.64


GA R
|Y| =
−6E−12x6 + 8E−09x5 − 4E−06x4 + 0.0009x3 − 0.1248x2 + 8.551x − 215.44




Represented in FIG. 43


TA L
|Y| =
−9E−12x6 + 1E−08x5 − 5E−06x4 + 0.0011x3 − 0.1373x2 + 8.8469x − 213.73


TA R
|Y| =
−8E−12x6 + 9E−09x5 − 4E−06x4 + 0.001x3 − 0.1229x2 + 8.1145x − 200.43




Represented in FIG. 44





[(x) represents the analyzed power value; (|Y|) represents the value of ϕO2HHb]










      • 1.9. In Table 8, the Equation of the Trend Line |Y|ϕHHb calculated from the values of ϕHHb of each TMM can be observed.














TABLE 8







Equation of the Trend Line of |Y|ϕHHb of each TMM









TM

Ecuación de la Línea de Tendencia de |Y|ϕHHb





RF L
|Y| =
5E−12x6 − 6E−09x5 + 3E−06x4 − 0.0008x3 + 0.1026x2 − 6.9946x + 195.71


RF R
|Y| =
1E−11x6 − 1E−08x5 + 5E−06x4 − 0.0013x3 + 0.1693x2 − 11.132x + 297.01




Represented in FIG. 45


VL L
|Y| =
1E−11x6 − 1E−08x5 + 6E−06x4 − 0.0015x3 + 0.1952x2 − 12.865x + 342.15


VL R
|Y| =
1E−11x6 − 1E−08x5 + 7E−06x4 − 0.0016x3 + 0.201x2 − 13.201x + 349.47




Represented in FIG. 46


ST L
|Y| =
1E−11x6 − 1E−08x5 + 6E−06x4 − 0.0015x3 + 0.1898x2 − 12.574x + 337.53


ST R
|Y| =
1E−11x6 − 1E−08x5 + 7E−06x4 − 0.0016x3 + 0.2103x2 − 13.737x + 359.59




Represented in FIG. 47


GM L
|Y| =
9E−12x6 − 1E−08x5 + 5E−06x4 − 0.0011x3 + 0.1484x2 − 9.8392x + 262.16


GM R
|Y| =
1E−11x6 − 1E−08x5 + 5E−06x4 − 0.0013x3 + 0.1661x2 − 10.856x + 282.1




Represented in FIG. 48


VI L
|Y| =
1E−11x6 − 1E−08x5 + 6E−06x4 − 0.0014x3 + 0.1864x2 − 12.48x + 342.46


VI R
|Y| =
2E−11x6 − 2E−08x5 + 8E−06x4 − 0.0019x3 + 0.2317x2 − 14.531x + 369.98




Represented in FIG. 49


GAL
|Y| =
9E−12x6 − 1E−08x5 + 5E−06x4 − 0.0012x3 + 0.1601x2 − 10.892x + 301.26


GA R
|Y| =
9E−12x6 − 1E−08x5 + 5E−06x4 − 0.0012x3 + 0.1601x2 − 10.892x + 301.26




Represented in FIG. 50


TA L
|Y| =
1E−11x6 − 2E−08x5 + 8E−06x4 − 0.0018x3 + 0.2256x2 − 14.502x + 380.63


TA R
|Y| =
1E−11x6 − 1E−08x5 + 7E−06x4 − 0.0016x3 + 0.2007x2 − 13.228x + 355.97




Represented in FIG. 51





[(x) represents the analyzed power value; (|Y|) represents the value of ϕHHb]










      • 1.10. In Table 9, Table 10 and Table 11, the calculated values of |Y|SmO2% of each TMM, at each intensity can be observed.














TABLE 9







Trend Line Values |Y|SmO2% between UAmin and UAe.






































Lim
Lim



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
Sup
Inf


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
|ZonaOp|
|ZonaOp|


























136
72
53
76
72
76
77
90
91
53
45
88
89
46
55
82
66


138
71
52
76
72
76
77
90
91
53
44
88
89
46
55
82
65


140
71
52
76
72
76
77
90
91
53
44
88
89
46
55
82
65


142
71
51
76
71
76
77
90
91
52
44
88
89
46
55
82
65


144
71
51
75
71
75
76
90
91
52
43
88
89
46
55
82
65


146
71
51
75
71
75
76
90
91
52
43
88
89
46
54
82
64


148
71
50
75
71
75
76
90
91
51
43
88
89
46
54
82
64


150
71
50
75
70
75
76
90
91
51
42
88
89
46
54
82
64


152
71
50
75
70
75
76
90
91
51
42
88
89
46
54
82
64


154
71
50
75
70
75
76
91
91
50
42
88
89
46
54
82
64


156
71
49
75
70
75
76
91
91
50
41
88
89
46
54
82
64


158
71
49
75
70
74
76
91
91
50
41
88
88
46
54
81
64


160
71
49
74
69
74
76
91
91
49
41
88
88
46
53
81
63


162
71
49
74
69
74
75
91
91
49
40
88
88
46
53
81
63


164
71
48
74
69
74
75
91
91
49
40
88
88
46
53
81
63


166
71
48
74
69
74
75
91
91
48
40
87
88
46
53
81
63


168
71
48
74
69
73
75
91
92
48
39
87
88
46
53
81
63


170
71
48
74
68
73
75
91
92
48
39
87
88
46
53
81
63


172
70
48
74
68
73
75
91
92
48
39
87
88
46
53
81
62


174
70
48
73
68
72
75
91
92
47
38
87
87
46
53
81
62


176
70
47
73
68
72
74
91
92
47
38
87
87
46
53
80
62


178
70
47
73
68
72
74
91
92
47
37
86
87
46
53
80
62


180
70
47
73
67
72
74
91
92
46
37
86
87
46
53
80
62


182
70
47
73
67
71
74
91
92
46
36
86
87
46
53
80
61


184
70
47
72
67
71
73
91
92
46
36
86
87
46
53
80
61


186
70
47
72
67
71
73
91
92
45
36
86
87
45
53
80
61


188
69
47
72
66
70
73
92
92
45
35
86
87
45
52
79
60


190
69
46
71
66
70
72
92
92
45
35
86
87
45
52
79
60


192
69
46
71
66
69
72
92
92
44
34
86
87
45
52
79
60


194
69
46
71
65
69
72
92
92
44
34
85
87
45
52
78
59


196
69
46
70
65
68
71
92
93
43
33
85
87
44
52
78
59


198
68
46
70
65
68
71
92
93
43
32
85
87
44
52
78
58


200
68
46
70
64
67
70
92
93
43
32
85
87
44
52
78
58


Min
68
46
70
64
67
70
90
91
43
32
85
87
44
52
78
58


Max
72
53
76
72
76
77
92
93
53
45
88
89
46
55
82
66


σ
0.9
2.0
1.8
2.2
2.5
1.9
0.5
0.6
3.1
3.8
1.1
0.8
0.5
0.9
1.4
2.1



Y

70
48
73
68
73
75
91
92
48
39
87
88
45
53
81
62


{tilde over (Y)}
71
48
74
69
73
75
91
92
48
39
87
88
46
53
81
63





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 10







Trend Line Values |Y|SmO2% between UAe and UANA.






































Lim
Lim



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
Sup
Inf


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
|ZonaOp|
|ZonaOp|


























202
68
45
69
64
67
70
92
93
42
31
85
87
44
52
77
57


204
67
45
69
64
66
69
92
93
42
31
85
88
43
51
77
57


206
67
45
68
63
66
69
92
93
41
30
85
88
43
51
76
56


208
66
45
68
63
65
68
92
93
41
29
85
88
43
51
76
56


210
66
45
67
62
65
68
92
93
40
29
85
88
42
51
76
55


212
65
44
67
62
64
67
92
93
40
28
85
88
42
51
75
55


214
65
44
66
61
64
67
91
92
40
28
85
88
42
50
75
54


216
65
44
66
61
63
66
91
92
39
27
85
88
41
50
74
53


218
64
43
65
60
62
65
91
92
39
26
85
89
41
50
74
53


220
64
43
65
60
62
65
91
92
38
26
85
89
40
50
73
52


222
63
43
64
59
61
64
91
92
38
25
85
89
40
49
73
51


224
62
42
64
59
61
63
91
92
37
25
85
89
39
49
72
51


226
62
42
63
58
60
63
91
92
37
24
85
89
39
49
72
50


228
61
42
62
58
59
62
91
92
36
24
85
89
39
48
71
49


230
61
41
62
57
59
61
90
92
36
23
85
89
38
48
71
49


232
60
41
61
57
58
60
90
92
35
22
85
89
38
48
70
48


234
60
41
61
56
57
60
90
91
35
22
85
89
37
47
70
47


236
59
40
60
55
56
59
90
91
34
21
85
89
37
47
69
46


238
59
40
59
55
56
58
90
91
34
21
84
89
37
47
68
46


240
58
39
59
54
55
57
89
91
33
20
84
89
36
46
68
45


242
57
39
58
54
54
56
89
91
33
20
84
89
36
46
67
44


244
57
38
58
53
54
56
89
90
33
20
84
89
35
46
66
43


246
56
38
57
53
53
55
89
90
32
19
83
89
35
45
65
42


248
56
37
56
52
52
54
88
90
32
19
83
89
35
45
65
42


250
55
37
56
51
52
53
88
90
31
19
82
89
35
45
64
41


Min
55
37
56
51
52
53
88
90
31
19
82
87
35
45
64
41


Max
68
45
69
64
67
70
92
93
42
31
85
89
44
52
77
57


σ
3.9
2.6
4.2
3.9
4.8
5.2
1.1
0.9
3.4
4.0
0.8
0.6
2.9
2.2
4.0
5.1



Y

62
42
63
58
60
62
90
92
37
24
85
89
39
49
71
50


{tilde over (Y)}
62
42
63
58
60
63
91
92
37
24
85
89
39
49
72
50





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 11







Trend Line Values |Y|SmO2% ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























252
55
36
55
51
51
53
88
90
31
18
82
88
34
44
63
40


254
54
36
55
50
50
52
88
89
31
18
81
88
34
44
63
39


256
54
35
54
50
50
51
87
89
30
18
81
88
34
44
62
39


258
53
35
54
49
49
50
87
89
30
18
80
88
34
43
61
38


260
53
34
53
48
48
50
87
89
30
18
80
87
33
43
61
37


262
52
33
53
48
48
49
86
88
29
17
79
87
33
43
60
37


264
52
33
52
47
47
48
86
88
29
17
78
86
33
42
59
36


266
51
32
52
47
46
47
86
88
29
17
77
86
33
42
59
36


268
51
32
51
46
46
47
85
88
29
17
76
85
33
42
58
35


270
50
31
51
46
45
46
85
87
29
17
75
85
33
42
57
35


272
50
30
50
45
44
45
85
87
28
17
74
84
33
41
57
34


274
49
30
50
45
44
45
84
87
28
17
73
84
33
41
56
34


276
49
29
50
44
43
44
84
87
28
17
72
83
32
41
56
33


278
48
28
49
44
42
44
83
87
28
17
71
83
32
40
55
33


280
48
28
49
43
41
20
83
86
28
17
69
82
32
40
54
32


282
47
27
49
43
41
43
83
86
28
17
68
82
32
40
54
32


284
47
26
48
42
40
42
82
86
28
17
67
81
32
40
53
31


286
46
25
48
42
39
42
82
86
28
17
65
81
31
40
53
31


288
45
25
48
42
38
41
82
86
28
17
64
80
31
39
52
30


290
45
24
47
41
38
41
81
85
28
17
62
80
30
39
52
30


292
44
23
47
41
37
40
81
85
28
17
61
80
30
39
51
29


294
43
22
47
40
36
40
80
85
28
17
60
79
29
39
51
29


296
42
21
46
40
35
39
80
85
28
17
58
79
28
38
50
28


298
41
21
46
39
34
39
80
85
28
16
57
79
27
38
50
28


300
40
20
46
38
33
38
79
84
28
16
55
79
26
38
49
27


Min
40
20
46
38
33
38
79
84
28
16
55
79
26
38
49
27


Max
55
36
55
51
51
53
88
90
31
18
82
88
34
44
63
40


σ
4.3
5.1
2.8
3.7
5.3
4.4
2.7
1.6
1.0
0.5
8.5
3.3
2.1
2.0
4.3
3.8



Y

48
29
50
44
43
45
84
87
29
17
71
83
32
41
56
33


{tilde over (Y)}
49
29
50
44
43
44
84
87
28
17
72
83
32
41
56
33





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.11. In Table 12, Table 13 and Table 14, the calculated values of |Y|ThB of each TMM, at each intensity can be observed.














TABLE 12







Trend Line Values |Y|ThB between UAmin and UAe.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
Ref
L
R
L
R
L
R
Op|
Op|


























136
12.8
12.6
12.1
12.1
12.2
12.1
12.1
12.1
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


138
12.8
12.6
12.1
12.1
12.2
12.1
12.1
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


140
12.8
12.6
12.1
12.1
12.2
12.1
12.1
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


142
12.8
12.6
12.1
12.1
12.2
12.1
12.1
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


144
12.8
12.6
12.1
12.1
12.2
12.1
12.1
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


146
12.8
12.6
12.1
12.1
12.2
12.1
12.1
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


148
12.8
12.6
12.1
12.1
12.2
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


150
12.8
12.6
12.1
12.1
12.2
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.5
12.3
12.0


152
12.8
12.6
12.1
12.1
12.1
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.0


154
12.8
12.6
12.1
12.1
12.1
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.0


156
12.8
12.7
12.1
12.1
12.1
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.0


158
12.8
12.7
12.1
12.1
12.1
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.0


160
12.8
12.7
12.1
12.1
12.1
12.1
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1


162
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1


164
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1


166
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1


168
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1


170
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1


172
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


174
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


176
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


178
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


180
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


182
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


184
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


186
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


188
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


190
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.3
12.9
12.4
12.4
12.1


192
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.1


194
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.1


196
12.8
12.7
12.0
12.1
12.1
12.0
12.2
12.2
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


198
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


200
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


Min
12.8
12.6
12.0
12.1
12.1
12.0
12.1
12.1
12.6
12.6
11.9
12.2
12.9
12.4
12.3
12.0


Max
12.8
12.7
12.1
12.1
12.2
12.1
12.2
12.2
12.7
12.6
11.9
12.3
12.9
12.5
12.4
12.1


σ
0.0
0.0
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0



Y

12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.0


{tilde over (Y)}
12.8
12.7
12.1
12.1
12.1
12.0
12.2
12.2
12.6
12.6
11.9
12.2
12.9
12.4
12.4
12.1





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 13







Trend Line Values |Y|ThB between UAe and UANA.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op
Op|


























202
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


204
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


206
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


208
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


210
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.4
12.0


212
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.3
12.9
12.4
12.3
12.0


214
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.1
12.7
12.6
11.9
12.2
12.9
12.4
12.3
12.0


216
12.8
12.7
12.0
12.1
12.1
12.0
12.1
12.0
12.7
12.6
11.9
12.2
12.9
12.4
12.3
12.0


218
12.8
12.7
12.0
12.1
12.1
12.0
12.0
12.0
12.7
12.6
11.9
12.2
12.9
12.4
12.3
12.0


220
12.8
12.7
12.0
12.1
12.1
12.0
12.0
12.0
12.7
12.6
11.9
12.2
12.9
12.4
12.3
12.0


222
12.8
12.7
12.0
12.1
12.1
12.0
12.0
12.0
12.7
12.6
11.8
12.2
12.9
12.4
12.3
12.0


224
12.8
12.7
12.0
12.1
12.1
12.0
12.0
12.0
12.7
12.6
11.8
12.2
12.9
12.5
12.3
11.9


226
12.8
12.7
12.0
12.0
12.1
12.0
12.0
12.0
12.7
12.6
11.8
12.2
12.9
12.5
12.3
11.9


228
12.8
12.7
12.0
12.0
12.1
12.0
12.0
12.0
12.7
12.6
11.8
12.2
12.9
12.5
12.3
11.9


230
12.8
12.7
12.0
12.0
12.1
12.0
12.0
11.9
12.7
12.7
11.8
12.2
12.9
12.5
12.3
11.9


232
12.8
12.7
12.0
12.0
12.1
12.0
12.0
11.9
12.7
12.7
11.8
12.2
12.9
12.5
12.3
11.9


234
12.8
12.7
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.8
12.2
12.9
12.5
12.3
11.9


236
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.8
12.2
12.9
12.5
12.3
11.9


238
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.8
12.1
12.9
12.5
12.3
11.9


240
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.8
12.1
13.0
12.5
12.3
11.9


242
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.9


244
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.9


246
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.9


248
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.9
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.9


250
12.8
12.8
12.0
12.0
12.1
12.0
11.9
11.8
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.9


Min
13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12


Max
13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12


σ
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.1
0.0
0.0
0.1
0.1
0.0
0.0
0.0
0.1



Y

13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12


{tilde over (Y)}
13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 14







Trend Line Values |Y|ThB ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























252
12.8
12.8
12.0
12.0
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.9


254
12.8
12.8
12.0
12.0
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.1
13.0
12.5
12.3
11.8


256
12.8
12.8
12.0
12.0
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.0
13.0
12.5
12.3
11.8


258
12.8
12.8
12.0
12.0
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.0
13.0
12.5
12.3
11.8


260
12.8
12.8
12.0
12.0
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.0
12.9
12.5
12.3
11.8


262
12.8
12.8
12.0
12.1
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.0
12.9
12.5
12.3
11.8


264
12.7
12.8
12.0
12.1
12.1
12.0
11.8
11.8
12.7
12.7
11.7
12.0
12.9
12.5
12.3
11.8


266
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.7
12.0
12.9
12.5
12.3
11.9


268
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.7
12.0
12.9
12.5
12.3
11.9


270
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.7
12.0
12.9
12.5
12.3
11.9


272
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.7
11.9
12.9
12.5
12.3
11.9


274
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.6
11.9
12.9
12.5
12.3
11.9


276
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.6
11.9
12.9
12.5
12.3
11.9


278
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.6
11.9
12.9
12.5
12.3
11.9


280
12.7
12.8
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.6
11.9
12.9
12.5
12.3
11.9


282
12.8
12.9
12.0
12.1
12.1
12.1
11.8
11.8
12.7
12.7
11.6
11.9
12.9
12.5
12.3
11.9


284
12.8
12.9
12.0
12.1
12.2
12.1
11.8
11.8
12.7
12.7
11.6
11.9
12.9
12.5
12.4
11.9


286
12.8
12.9
12.0
12.1
12.2
12.1
11.8
11.8
12.7
12.7
11.6
11.8
12.9
12.5
12.4
11.9


288
12.8
12.9
12.0
12.1
12.2
12.1
11.8
11.8
12.7
12.7
11.6
11.8
12.9
12.5
12.4
11.9


290
12.8
12.9
12.0
12.1
12.2
12.1
11.7
11.8
12.7
12.7
11.6
11.8
12.9
12.5
12.4
11.9


292
12.8
12.9
12.0
12.1
12.2
12.1
11.7
11.8
12.7
12.7
11.6
11.8
13.0
12.5
12.4
11.9


294
12.8
12.9
12.0
12.1
12.2
12.1
11.7
11.8
12.7
12.7
11.6
11.8
13.0
12.5
12.4
11.9


296
12.8
12.9
12.0
12.1
12.2
12.1
11.7
11.8
12.7
12.7
11.6
11.7
13.0
12.5
12.4
11.9


298
12.8
12.9
12.0
12.1
12.2
12.1
11.7
11.8
12.7
12.7
11.6
11.7
13.0
12.5
12.4
11.9


300
12.8
12.9
12.0
12.2
12.2
12.1
11.7
11.7
12.8
12.7
11.5
11.7
13.0
12.5
12.4
11.9


Min
13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12


Max
13
13
12
12
12
12
12
12
13
13
12
12
13
13
12
12


σ
0.0
0.1
0.0
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.0



Y

13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12


{tilde over (Y)}
13
13
12
12
12
12
12
12
13
13
12
12
13
12
12
12





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.12. In Table 15, Table 16 and Table 17, the calculated values of |Y|ϕThB of each TMM, at each intensity can be observed.














TABLE 15







Trend Line Values |Y|ϕThB between UAmin and UAe.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
Ref
L
R
L
R
L
R
Op|
Op|


























136
26.6
26.2
25.2
25.1
25.3
25.1
25.1
25.3
26.0
26.0
24.7
25.3
26.8
25.8
25.6
25.0


138
26.8
26.4
25.3
25.3
25.4
25.2
25.2
25.4
26.2
26.2
24.8
25.5
26.9
25.9
25.8
25.1


140
26.9
26.5
25.4
25.4
25.6
25.3
25.3
25.6
26.4
26.3
24.9
25.6
27.1
26.1
25.9
25.3


142
27.1
26.7
25.6
25.6
25.7
25.5
25.5
25.7
26.5
26.5
25.1
25.8
27.3
26.2
26.1
25.4


144
27.3
26.9
25.7
25.7
25.9
25.6
25.6
25.9
26.7
26.6
25.3
25.9
27.4
26.4
26.3
25.6


146
27.4
27.0
25.9
25.9
26.0
25.8
25.8
26.1
26.9
26.8
25.4
26.1
27.6
26.6
26.4
25.8


148
27.6
27.2
26.0
26.0
26.2
26.0
26.0
26.3
27.1
27.0
25.6
26.3
27.8
26.8
26.6
25.9


150
27.8
27.4
26.2
26.2
26.4
26.1
26.1
26.4
27.3
27.2
25.8
26.5
28.0
26.9
26.8
26.1


152
28.0
27.6
26.4
26.4
26.5
26.3
26.3
26.6
27.5
27.4
26.0
26.7
28.2
27.1
27.0
26.3


154
28.2
27.8
26.6
26.6
26.7
26.5
26.5
26.8
27.7
27.6
26.1
26.9
28.4
27.3
27.2
26.5


156
28.4
28.0
26.8
26.8
26.9
26.7
26.7
27.0
27.9
27.8
26.3
27.1
28.6
27.5
27.4
26.7


158
28.6
28.2
26.9
26.9
27.1
26.9
26.9
27.2
28.1
28.0
26.5
27.3
28.8
27.7
27.6
26.9


160
28.8
28.5
27.1
27.1
27.3
27.1
27.1
27.4
28.3
28.2
26.7
27.5
29.0
28.0
27.8
27.1


162
29.0
28.7
27.3
27.3
27.5
27.3
27.3
27.6
28.5
28.4
26.9
27.7
29.3
28.2
28.0
27.3


164
29.3
28.9
27.5
27.5
27.7
27.5
27.5
27.8
28.8
28.7
27.2
27.9
29.5
28.4
28.2
27.5


166
29.5
29.1
27.7
27.7
27.9
27.7
27.7
28.0
29.0
28.9
27.4
28.1
29.7
28.6
28.4
27.7


168
29.7
29.4
28.0
28.0
28.1
27.9
27.9
28.2
29.2
29.1
27.6
28.3
29.9
28.8
28.6
27.9


170
29.9
29.6
28.2
28.2
28.3
28.1
28.1
28.4
29.5
29.3
27.8
28.6
30.2
29.1
28.9
28.1


172
30.1
29.8
28.4
28.4
28.5
28.3
28.3
28.6
29.7
29.6
28.0
28.8
30.4
29.3
29.1
28.3


174
30.4
30.0
28.6
28.6
28.7
28.5
28.5
28.8
29.9
29.8
28.2
29.0
30.6
29.5
29.3
28.5


176
30.6
30.3
28.8
28.8
28.9
28.7
28.7
29.0
30.2
30.0
28.4
29.2
30.9
29.7
29.5
28.7


178
30.8
30.5
29.0
29.0
29.1
28.9
28.9
29.2
30.4
30.3
28.7
29.4
31.1
30.0
29.7
28.9


180
31.0
30.7
29.2
29.2
29.3
29.2
29.2
29.4
30.6
30.5
28.9
29.7
31.3
30.2
30.0
29.1


182
31.3
31.0
29.4
29.4
29.5
29.4
29.4
29.6
30.9
30.7
29.1
29.9
31.6
30.4
30.2
29.3


184
31.5
31.2
29.6
29.6
29.7
29.6
29.6
29.8
31.1
31.0
29.3
30.1
31.8
30.6
30.4
29.6


186
31.7
31.4
29.8
29.9
29.9
29.8
29.8
30.0
31.3
31.2
29.5
30.3
32.0
30.8
30.6
29.8


188
31.9
31.6
30.0
30.1
30.1
30.0
30.0
30.2
31.6
31.4
29.7
30.5
32.2
31.1
30.8
30.0


190
32.1
31.9
30.2
30.3
30.3
30.2
30.2
30.4
31.8
31.6
29.9
30.8
32.5
31.3
31.0
30.2


192
32.3
32.1
30.4
30.5
30.5
30.4
30.4
30.6
32.0
31.9
30.1
31.0
32.7
31.5
31.2
30.4


194
32.6
32.3
30.6
30.7
30.7
30.6
30.6
30.8
32.2
32.1
30.3
31.2
32.9
31.7
31.4
30.5


196
32.8
32.5
30.8
30.9
30.9
30.8
30.8
31.0
32.5
32.3
30.5
31.4
33.1
31.9
31.6
30.7


198
33.0
32.7
31.0
31.1
31.1
31.0
31.0
31.2
32.7
32.5
30.7
31.6
33.3
32.1
31.8
30.9


200
33.2
33.0
31.2
31.3
31.3
31.2
31.2
31.3
32.9
32.7
30.9
31.8
33.5
32.3
32.0
31.1


Min
26.6
26.2
25.2
25.1
25.3
25.1
25.1
25.3
26.0
26.0
24.7
25.3
26.8
25.8
25.6
25.0


Max
33.2
33.0
31.2
31.3
31.3
31.2
31.2
31.3
32.9
32.7
30.9
31.8
33.5
32.3
32.0
31.1


σ
2.0
2.1
1.9
1.9
1.9
1.9
1.9
1.9
2.1
2.1
1.9
2.0
2.1
2.0
2.0
1.9



Y

29.8
29.4
28.0
28.0
28.2
28.0
28.0
28.2
29.3
29.2
27.6
28.4
30.0
28.9
28.7
27.9


{tilde over (Y)}
20
29.4
28.0
28.0
28.1
27.9
27.9
28.2
29.2
29.1
27.6
28.3
29.9
28.8
28.6
27.9





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 16







Trend Line Values |Y|ϕThB between UAe and UANA.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























202
33.4
33.2
31.4
31.5
31.5
31.3
31.3
31.5
33.1
32.9
31.1
32.0
33.7
32.5
32.2
31.3


204
33.6
33.4
31.6
31.6
31.7
31.5
31.5
31.7
33.3
33.1
31.2
32.2
33.9
32.7
32.4
31.5


206
33.8
33.6
31.7
31.8
31.9
31.7
31.7
31.9
33.5
33.3
31.4
32.4
34.1
32.9
32.6
31.6


208
34.0
33.8
31.9
32.0
32.0
31.9
31.9
32.0
33.7
33.5
31.6
32.5
34.3
33.1
32.8
31.8


210
34.1
34.0
32.1
32.2
32.2
32.0
32.0
32.2
33.9
33.7
31.8
32.7
34.5
33.3
33.0
32.0


212
34.3
34.2
32.3
32.4
32.4
32.2
32.2
32.3
34.1
33.9
31.9
32.9
34.7
33.4
33.1
32.2


214
34.5
34.4
32.4
32.5
32.6
32.4
32.4
32.5
34.3
34.1
32.1
33.1
34.9
33.6
33.3
32.3


216
34.7
34.5
32.6
32.7
32.7
32.5
32.5
32.7
34.5
34.3
32.2
33.2
35.1
33.8
33.5
32.5


218
34.9
34.7
32.8
32.9
32.9
32.7
32.7
32.8
34.6
34.5
32.4
33.4
35.3
34.0
33.7
32.6


220
35.0
34.9
32.9
33.1
33.1
32.9
32.9
32.9
34.8
34.7
32.5
33.5
35.5
34.1
33.8
32.8


222
35.2
35.1
33.1
33.2
33.2
33.0
33.0
33.1
35.0
34.8
32.7
33.7
35.6
34.3
34.0
33.0


224
35.4
35.3
33.2
33.4
33.4
33.2
33.2
33.2
35.2
35.0
32.8
33.8
35.8
34.5
34.1
33.1


226
35.6
35.5
33.4
33.5
33.6
33.3
33.3
33.4
35.3
35.2
33.0
34.0
36.0
34.6
34.3
33.3


228
35.7
35.6
33.5
33.7
33.7
33.5
33.5
33.5
35.5
35.4
33.1
34.1
36.2
34.8
34.5
33.4


230
35.9
35.8
33.7
33.9
33.9
33.6
33.6
33.6
35.7
35.5
33.2
34.3
36.3
35.0
34.6
33.5


232
36.1
36.0
33.9
34.0
34.0
33.8
33.8
33.8
35.8
35.7
33.4
34.4
36.5
35.1
34.8
33.7


234
36.2
36.2
34.0
34.2
34.2
33.9
33.9
33.9
36.0
35.9
33.5
34.5
36.7
35.3
34.9
33.8


236
36.4
36.3
34.2
34.3
34.4
34.1
34.1
34.0
36.2
36.0
33.6
34.7
36.8
35.4
35.1
34.0


238
36.5
36.5
34.3
34.5
34.5
34.3
34.3
34.2
36.3
36.2
33.7
34.8
37.0
35.6
35.2
34.1


240
36.7
36.7
34.5
34.6
34.7
34.4
34.4
34.3
36.5
36.4
33.9
34.9
37.2
35.8
35.4
34.2


242
36.9
36.8
34.6
34.8
34.8
34.6
34.6
34.4
36.7
36.5
34.0
35.0
37.3
35.9
35.5
34.4


244
37.0
37.0
34.8
34.9
35.0
34.7
34.7
34.5
36.8
36.7
34.1
35.2
37.5
36.1
35.7
34.5


246
37.2
37.2
34.9
35.1
35.1
34.9
34.9
34.7
37.0
36.8
34.2
35.3
37.7
36.2
35.8
34.6


248
37.3
37.4
35.1
35.3
35.3
35.0
35.0
34.8
37.2
37.0
34.3
35.4
37.8
36.4
35.9
34.8


250
37.5
37.5
35.2
35.4
35.5
35.2
35.2
34.9
37.3
37.2
34.5
35.5
38.0
36.5
36.1
34.9


Min
33
33
31
31
32
31
31
32
33
33
31
32
34
33
32
31


Max
38
38
35
35
35
35
35
35
37
37
34
36
38
37
36
35


σ
1.3
1.3
1.2
1.2
1.2
1.2
1.2
1.0
1.3
1.3
1.0
1.1
1.3
1.2
1.2
1.1



Y

36
35
33
33
34
33
33
33
35
35
33
34
36
35
34
33


{tilde over (Y)}
36
35
33
34
34
33
33
33
35
35
33
34
36
35
34
33





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 17







Trend Line Values |Y|ϕThB ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























202
33.4
33.2
31.4
31.5
31.5
31.3
31.3
31.5
33.1
32.9
31.1
32.0
33.7
32.5
32.2
31.3


204
33.6
33.4
31.6
31.6
31.7
31.5
31.5
31.7
33.3
33.1
31.2
32.2
33.9
32.7
32.4
31.5


206
33.8
33.6
31.7
31.8
31.9
31.7
31.7
31.9
33.5
33.3
31.4
32.4
34.1
32.9
32.6
31.6


208
34.0
33.8
31.9
32.0
32.0
31.9
31.9
32.0
33.7
33.5
31.6
32.5
34.3
33.1
32.8
31.8


210
34.1
34.0
32.1
32.2
32.2
32.0
32.0
32.2
33.9
33.7
31.8
32.7
34.5
33.3
33.0
32.0


212
34.3
34.2
32.3
32.4
32.4
32.2
32.2
32.3
34.1
33.9
31.9
32.9
34.7
33.4
33.1
32.2


214
34.5
34.4
32.4
32.5
32.6
32.4
32.4
32.5
34.3
34.1
32.1
33.1
34.9
33.6
33.3
32.3


216
34.7
34.5
32.6
32.7
32.7
32.5
32.5
32.7
34.5
34.3
32.2
33.2
35.1
33.8
33.5
32.5


218
34.9
34.7
32.8
32.9
32.9
32.7
32.7
32.8
34.6
34.5
32.4
33.4
35.3
34.0
33.7
32.6


220
35.0
34.9
32.9
33.1
33.1
32.9
32.9
32.9
34.8
34.7
32.5
33.5
35.5
34.1
33.8
32.8


222
35.2
35.1
33.1
33.2
33.2
33.0
33.0
33.1
35.0
34.8
32.7
33.7
35.6
34.3
34.0
33.0


224
35.4
35.3
33.2
33.4
33.4
33.2
33.2
33.2
35.2
35.0
32.8
33.8
35.8
34.5
34.1
33.1


226
35.6
35.5
33.4
33.5
33.6
33.3
33.3
33.4
35.3
35.2
33.0
34.0
36.0
34.6
34.3
33.3


228
35.7
35.6
33.5
33.7
33.7
33.5
33.5
33.5
35.5
35.4
33.1
34.1
36.2
34.8
34.5
33.4


230
35.9
35.8
33.7
33.9
33.9
33.6
33.6
33.6
35.7
35.5
33.2
34.3
36.3
35.0
34.6
33.5


232
36.1
36.0
33.9
24.0
34.0
33.8
33.8
33.8
35.8
35.7
33.4
34.4
36.5
35.1
34.8
33.7


234
36.2
36.2
34.0
34.2
34.2
33.9
33.9
33.9
36.0
35.9
33.5
34.5
36.7
35.3
34.9
33.8


236
36.4
36.3
34.2
34.3
34.4
34.1
34.1
34.0
36.2
36.0
33.6
34.7
36.8
35.4
35.1
34.0


238
36.5
36.5
34.3
34.5
34.5
34.3
34.3
34.2
36.3
36.2
33.7
34.8
37.0
35.6
35.2
34.1


240
36.7
36.7
34.5
34.6
34.7
34.4
34.4
34.3
36.5
36.4
33.9
34.9
37.2
35.8
35.4
34.2


242
36.9
36.8
34.6
34.8
34.8
34.6
34.6
34.4
36.7
36.5
34.0
35.0
37.3
35.9
35.5
34.4


244
37.0
37.0
34.8
34.9
35.0
34.7
34.7
34.5
36.8
36.7
34.1
35.2
37.5
36.1
35.7
34.5


246
37.2
37.2
34.9
35.1
35.1
34.9
34.9
34.7
37.0
36.8
34.2
35.3
37.7
36.2
35.8
34.6


248
37.3
37.4
35.1
35.3
35.3
35.0
35.0
34.8
37.2
37.0
34.3
35.4
37.8
36.4
35.9
34.8


250
37.5
37.5
35.2
35.4
35.5
35.2
35.2
34.9
37.3
37.2
34.5
35.5
38.0
36.5
36.1
34.9


Min
33
33
31
31
32
31
31
32
33
33
31
32
34
33
32
31


Max
38
38
35
35
35
35
35
35
37
37
34
36
38
37
36
35


σ
1.3
1.3
1.2
1.2
1.2
1.2
1.2
1.0
1.3
1.3
1.0
1.1
1.3
1.2
1.2
1.1



Y

36
35
33
33
34
33
33
33
35
35
33
34
36
35
34
33


{tilde over (Y)}
36
35
33
34
34
33
33
33
35
35
33
34
36
35
34
33





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.13. In Table 18, Table 19 and Table 20, the calculated values of |Y|O2HHb of each TMM, at each intensity can be observed.














TABLE 18







Trend Line Values |Y|O2HHb between UAmin and UAe.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























136
9.2
6.5
9.1
8.6
9.1
9.1
10.9
11.1
6.6
5.4
10.0
10.5
5.9
6.8
10.1
8.2


138
9.2
6.5
9.1
8.6
9.1
9.1
10.9
11.1
6.6
5.4
10.0
10.5
5.9
6.8
10.1
8.1


140
9.1
6.4
9.1
8.5
9.1
9.1
10.9
11.1
6.5
5.4
10.0
10.5
5.8
6.8
10.1
8.1


142
9.1
6.4
9.1
8.5
9.1
9.1
10.9
11.1
6.5
5.4
10.0
10.5
5.8
6.7
10.0
8.1


144
9.1
6.3
9.1
8.5
9.1
9.1
11.0
11.1
6.5
5.3
10.1
10.5
5.8
6.7
10.0
8.1


146
9.1
6.3
9.0
8.5
9.1
9.1
11.0
11.1
6.4
5.3
10.1
10.6
5.8
6.7
10.0
8.1


148
9.1
6.3
9.0
8.5
9.0
9.1
11.0
11.1
6.4
5.3
10.1
10.6
5.8
6.7
10.0
8.0


150
9.1
6.3
9.0
8.4
9.0
9.1
11.0
11.1
6.4
5.3
10.2
10.6
5.8
6.7
10.0
8.0


152
9.1
6.2
9.0
8.4
9.0
9.1
11.0
11.1
6.3
5.3
10.2
10.7
5.9
6.7
10.0
8.0


154
9.1
6.2
9.0
8.4
9.0
9.1
11.0
11.1
6.3
5.2
10.3
10.7
5.9
6.7
10.0
8.0


156
9.1
6.2
9.0
8.4
9.0
9.1
11.0
11.1
6.3
5.2
10.3
10.7
5.9
6.7
10.0
8.0


158
9.1
6.2
9.0
8.4
9.0
9.1
11.1
11.2
6.2
5.2
10.4
10.8
5.9
6.7
10.0
8.0


160
9.1
6.2
9.0
8.4
9.0
9.1
11.1
11.2
6.2
5.2
10.4
10.8
5.9
6.7
10.0
8.0


162
9.1
6.2
9.0
8.4
9.0
9.1
11.1
11.2
6.2
5.2
10.5
10.8
5.9
6.7
10.0
7.9


164
9.1
6.2
9.0
8.4
8.9
9.1
11.1
11.2
6.2
5.1
10.5
10.9
5.9
6.7
10.0
7.9


166
9.0
6.2
9.0
8.4
8.9
9.1
11.1
11.2
6.1
5.1
10.6
10.9
5.9
6.7
10.0
7.9


168
9.0
6.1
9.0
8.3
8.9
9.1
11.1
11.2
6.1
5.1
10.6
10.9
5.9
6.7
10.0
7.9


170
9.0
6.1
9.0
8.3
8.9
9.1
11.1
11.2
6.1
5.1
10.6
11.0
6.0
6.7
10.0
7.9


172
9.0
6.1
9.0
8.3
8.9
9.1
11.1
11.2
6.1
5.0
10.7
11.0
6.0
6.7
10.0
7.8


174
9.0
6.1
8.9
8.3
8.9
9.1
11.2
11.2
6.0
5.0
10.7
11.0
6.0
6.7
10.0
7.8


176
9.0
6.1
8.9
8.3
8.8
9.1
11.2
11.2
6.0
5.0
10.8
11.1
6.0
6.7
10.0
7.8


178
9.0
6.1
8.9
8.3
8.8
9.1
11.2
11.2
6.0
4.9
10.8
11.1
6.0
6.7
10.0
7.8


180
9.0
6.1
8.9
8.3
8.8
9.1
11.2
11.2
5.9
4.9
10.8
11.1
6.0
6.7
9.9
7.7


182
9.0
6.1
8.9
8.2
8.8
9.1
11.2
11.2
5.9
4.8
10.8
11.1
6.0
6.7
9.9
7.7


184
9.0
6.1
8.8
8.2
8.7
9.0
11.2
11.2
5.8
4.7
10.9
11.2
6.0
6.7
9.9
7.7


186
8.9
6.1
8.8
8.2
8.7
9.0
11.2
11.2
5.8
4.7
10.9
11.2
5.9
6.6
9.9
7.6


188
8.9
6.1
8.8
8.2
8.7
9.0
11.2
11.2
5.8
4.6
10.9
11.2
5.9
6.6
9.8
7.6


190
8.9
6.1
8.7
8.1
8.6
8.9
11.2
11.2
5.7
4.5
10.9
11.2
5.9
6.6
9.8
7.5


192
8.9
6.1
8.7
8.1
8.6
8.9
11.2
11.2
5.7
4.5
10.9
11.2
5.9
6.6
9.8
7.5


194
8.8
6.0
8.6
8.1
8.5
8.8
11.2
11.2
5.6
4.4
10.9
11.2
5.9
6.6
9.7
7.4


196
8.8
6.0
8.6
8.0
8.5
8.8
11.2
11.2
5.6
4.3
10.9
11.2
5.8
6.5
9.7
7.4


198
8.7
6.0
8.5
8.0
8.4
8.7
11.2
11.2
5.5
4.2
10.8
11.2
5.8
6.5
9.6
7.3


200
8.7
6.0
8.5
7.9
8.3
8.7
11.1
11.2
5.5
4.1
10.8
11.2
5.8
6.5
9.6
7.2


Min
8.7
6.0
8.5
7.9
8.3
8.7
10.9
11.1
5.5
4.1
10.0
10.5
5.8
6.5
9.6
7.2


Max
9.2
6.5
9.1
8.6
9.1
9.1
11.2
11.2
6.6
5.4
10.9
11.2
6.0
6.8
10.1
8.2


σ
0.1
0.1
0.2
0.2
0.2
0.1
0.1
0.1
0.3
0.4
0.3
0.3
0.1
0.1
0.1
0.3



Y

9.0
6.2
8.9
8.3
8.9
9.0
11.1
11.2
6.1
5.0
10.5
10.9
5.9
6.7
9.9
7.8


{tilde over (Y)}
9.0
6.1
9.0
8.3
8.9
9.1
11.1
11.2
6.1
5.1
10.6
10.9
5.9
6.7
10.0
7.9





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 19







Trend Line Values |Y|O2HHb between UAe and UANA.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























202
8.7
5.9
8.4
7.9
8.3
8.6
11.1
11.2
5.4
4.0
10.8
11.2
5.7
6.5
9.5
7.2


204
8.6
5.9
8.4
7.8
8.2
8.5
11.1
11.2
5.3
3.9
10.8
11.2
5.7
6.4
9.5
7.1


206
8.6
5.9
8.3
7.7
8.1
8.5
11.1
11.1
5.3
3.8
10.7
11.1
5.6
6.4
9.4
7.0


208
8.5
5.8
8.2
7.7
8.1
8.4
11.1
11.1
5.2
3.7
10.7
11.1
5.6
6.4
9.4
6.9


210
8.5
5.8
8.2
7.6
8.0
8.3
11.0
11.1
5.2
3.6
10.6
11.1
5.5
6.3
9.3
6.9


212
8.4
5.7
8.1
7.5
7.9
8.2
11.0
11.1
5.1
3.5
10.6
11.1
5.5
6.3
9.2
6.8


214
8.3
5.7
8.0
7.5
7.8
8.1
11.0
11.1
5.0
3.4
10.5
11.0
5.4
6.2
9.1
6.7


216
8.3
5.6
7.9
7.4
7.7
8.0
11.0
11.1
5.0
3.3
10.4
11.0
5.4
6.2
9.1
6.6


218
8.2
5.6
7.9
7.3
7.6
7.9
10.9
11.0
4.9
3.2
10.4
11.0
5.3
6.1
9.0
6.5


220
8.1
5.5
7.8
7.2
7.6
7.8
10.9
11.0
4.8
3.1
10.3
10.9
5.2
6.1
8.9
6.4


222
8.1
5.5
7.7
7.2
7.5
7.7
10.9
11.0
4.8
3.0
10.2
10.9
5.2
6.1
8.8
6.3


224
8.0
5.4
7.6
7.1
7.4
7.6
10.8
11.0
4.7
3.0
10.1
10.8
5.1
6.0
8.7
6.2


226
7.9
5.4
7.5
7.0
7.3
7.5
10.8
10.9
4.6
2.9
10.1
10.8
5.1
6.0
8.6
6.1


228
7.9
5.3
7.4
6.9
7.2
7.4
10.8
10.9
4.6
2.8
10.0
10.7
5.0
5.9
8.5
6.0


230
7.8
5.2
7.3
6.8
7.1
7.3
10.7
10.9
4.5
2.7
9.9
10.7
4.9
5.9
8.4
5.9


232
7.7
5.2
7.3
6.8
7.0
7.1
10.7
10.9
4.4
2.6
9.8
10.6
4.9
5.8
8.3
5.8


234
7.6
5.1
7.2
6.7
6.9
7.0
10.7
10.9
4.4
2.5
9.7
10.6
4.8
5.8
8.2
5.7


236
7.6
5.0
7.1
6.6
6.8
6.9
10.6
10.8
4.3
2.5
9.6
10.5
4.8
5.7
8.1
5.5


238
7.5
5.0
7.0
6.5
6.7
6.8
10.6
10.8
4.2
2.4
9.6
10.5
4.7
5.7
8.0
5.4


240
7.4
4.9
6.9
6.4
6.6
6.7
10.6
10.8
4.2
2.4
9.5
10.5
4.6
5.7
7.9
5.3


242
7.3
4.8
6.9
6.3
6.5
6.6
10.5
10.8
4.1
2.3
9.4
10.4
4.6
5.6
7.8
5.2


244
7.3
4.8
6.8
6.3
6.4
6.5
10.5
10.7
4.1
2.3
9.3
10.4
4.5
5.6
7.7
5.1


246
7.2
4.7
6.7
6.2
6.3
6.4
10.5
10.7
4.0
2.2
9.2
10.3
4.5
5.5
7.6
5.0


248
7.1
4.6
6.6
6.1
6.2
6.3
10.4
10.7
4.0
2.2
9.2
10.3
4.4
5.5
7.5
4.9


250
7.0
4.5
6.6
6.0
6.1
6.2
10.4
10.7
3.9
2.2
9.1
10.3
4.4
5.5
7.4
4.8


Min
7.0
4.5
6.6
6.0
6.1
6.2
10.4
10.7
3.9
2.2
9.1
10.3
4.4
5.5
7.4
4.8


Max
8.7
5.9
8.4
7.9
8.3
8.6
11.1
11.2
5.4
4.0
10.8
11.2
5.7
6.5
9.5
7.2


σ
0.5
0.4
0.6
0.6
0.7
0.8
0.2
0.2
0.5
0.6
0.6
0.3
0.4
0.3
0.7
0.7



Y

7.9
5.3
7.5
7.0
7.2
7.4
10.8
10.9
4.6
3.0
10.0
10.8
5.1
6.0
8.6
6.1


{tilde over (Y)}
7.9
5.4
7.5
7.0
7.3
7.5
10.8
10.9
4.6
2.9
10.1
10.8
5.1
6.0
8.6
6.1





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 20







Trend Line Values |Y|O2HHb ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























252
7.0
4.5
6.5
00
6.0
6.1
10.4
10.6
3.9
2.2
9.0
10.2
4.4
5.5
7.3
4.7


254
6.9
4.4
6.4
5.9
5.9
6.0
10.4
10.6
3.8
2.2
8.9
10.2
4.3
5.4
7.3
4.6


256
6.8
4.4
6.4
5.8
5.8
5.9
10.3
10.6
3.8
2.2
8.9
10.2
4.3
5.4
7.2
4.6


258
6.8
4.3
6.3
5.8
5.7
5.8
10.3
10.6
3.8
2.2
8.8
10.2
4.3
5.4
7.1
4.5


260
6.7
4.2
6.3
5.7
5.6
5.8
10.3
10.6
3.7
2.2
8.8
10.1
4.3
5.4
7.0
4.4


262
6.6
4.2
6.2
5.7
5.6
5.7
10.2
10.5
3.7
2.2
8.7
10.1
4.2
5.3
7.0
4.4


264
6.6
4.1
6.2
5.6
5.5
5.6
10.2
10.5
3.7
2.3
8.7
10.1
4.2
5.3
6.9
4.3


266
6.5
4.0
6.2
5.6
5.4
5.6
10.2
10.5
3.7
2.3
8.6
10.1
4.2
5.3
6.9
4.3


268
6.4
4.0
6.1
5.5
5.4
5.5
10.1
10.5
3.7
2.3
8.6
10.1
4.2
5.3
6.8
4.2


270
6.4
3.9
6.1
5.5
5.3
5.5
10.1
10.4
3.7
2.4
8.5
10.1
4.2
5.3
6.8
4.2


272
6.3
3.9
6.1
5.5
5.3
5.4
10.1
10.4
3.7
2.4
8.5
10.1
4.2
5.3
6.7
4.2


274
6.3
3.8
6.0
5.4
5.2
5.4
10.0
10.4
3.6
2.4
8.5
10.1
4.2
5.2
6.7
4.1


276
6.2
3.8
6.0
5.4
5.1
5.4
10.0
10.3
3.6
2.5
8.4
10.1
4.2
5.2
6.7
4.1


278
6.1
3.7
6.0
5.4
5.1
5.3
9.9
10.3
3.6
2.5
8.4
10.1
4.2
5.2
6.6
4.1


280
6.1
3.6
6.0
5.3
5.1
5.3
9.9
10.3
3.6
2.5
8.4
10.1
4.2
5.2
6.6
4.1


282
6.0
3.6
6.0
5.3
5.0
5.3
9.8
10.2
3.6
2.5
8.3
10.1
4.2
5.1
6.6
4.0


284
5.9
3.5
5.9
5.3
5.0
5.3
9.8
10.2
3.6
2.5
8.3
10.1
4.1
5.1
6.5
4.0


286
5.9
3.4
5.9
5.2
4.9
5.3
9.7
10.1
3.6
2.4
8.2
10.0
4.1
5.0
6.5
4.0


288
5.8
3.4
5.9
5.2
4.9
5.2
9.6
10.1
3.6
2.4
8.2
10.0
4.1
5.0
6.5
4.0


290
5.7
3.3
5.8
5.2
4.9
5.2
9.5
10.0
3.6
2.3
8.1
10.0
4.0
4.9
6.5
3.9


292
5.6
3.2
5.8
5.1
4.8
5.2
9.4
9.9
3.6
2.2
8.0
10.0
4.0
4.8
6.4
3.9


294
5.5
3.1
5.8
5.1
4.8
5.2
9.3
9.8
3.6
2.0
7.9
9.9
3.9
4.7
6.4
3.9


296
5.4
3.0
5.7
5.0
4.7
5.1
9.2
9.7
3.6
1.8
7.8
9.9
3.8
4.6
6.3
3.8


298
5.3
2.9
5.7
4.9
4.7
5.1
9.0
9.6
3.5
1.6
7.7
9.8
3.7
4.5
6.3
3.7


300
5.2
2.8
5.6
4.9
4.6
5.0
8.9
9.5
3.5
1.3
7.6
9.7
3.6
4.3
6.2
3.7


Min
5.2
2.8
5.6
4.9
4.6
5.0
8.9
9.5
3.5
1.3
7.6
9.7
3.6
4.3
6.2
3.7


Max
7.0
4.5
6.5
6.0
6.0
6.1
10.4
10.6
3.9
2.5
9.0
10.2
4.4
5.5
7.3
4.7


σ
0.5
0.5
0.2
0.3
0.4
0.3
0.4
0.3
0.1
0.3
0.4
0.1
0.2
0.3
0.3
0.3



Y

6.2
3.7
6.0
5.4
5.2
5.5
9.9
10.2
3.7
2.2
8.4
10.0
4.1
5.1
6.7
4.1


{tilde over (Y)}
6.2
3.8
6.0
5.4
5.1
5.4
10.0
10.3
3.6
2.3
8.4
10.1
4.2
5.2
6.7
4.1





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.14. In Table 21, Table 22 and Table 23, the calculated values of |Y|ϕO2HHb of each TMM, at each intensity can be observed.














TABLE 21







Trend Line Values |Y|ϕO2HHb between UAmin and UAe.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
Ref
L
R
L
R
L
R
Op|
Op|


























136
19.2
13.7
19.1
18.2
19.2
19.3
22.8
22.9
13.7
11.5
21.1
22.0
12.3
14.2
21.2
17.2


138
19.3
13.7
19.2
18.2
19.3
19.4
23.0
23.1
13.7
11.5
21.2
22.2
12.4
14.3
21.3
17.2


140
19.4
13.7
19.3
18.2
19.4
19.5
23.1
23.3
13.7
11.5
21.4
22.3
12.4
14.3
21.4
17.3


142
19.5
13.7
19.4
18.3
19.5
19.6
23.3
23.4
13.7
11.4
21.5
22.5
12.5
14.4
21.5
17.3


144
19.6
13.7
19.4
18.3
19.5
19.7
23.4
23.6
13.7
11.4
21.7
22.7
12.6
14.4
21.6
17.4


146
19.7
13.7
19.5
18.4
19.6
19.8
23.6
23.8
13.8
11.4
21.9
22.9
12.6
14.5
21.7
17.5


148
19.8
13.7
19.6
18.4
19.7
19.9
23.8
24.0
13.8
11.4
22.1
23.0
12.7
14.6
21.8
17.5


150
19.9
13.7
19.7
18.5
19.8
20.0
24.0
24.2
13.8
11.4
22.3
23.2
12.8
14.7
21.9
17.6


152
20.0
13.8
19.8
18.6
19.9
20.1
24.1
24.4
13.8
11.4
22.5
23.4
12.9
14.7
22.1
17.6


154
20.1
13.8
19.9
18.6
20.0
20.2
24.3
24.6
13.9
11.4
22.7
23.6
13.0
14.8
22.2
17.7


156
20.2
13.9
20.0
18.7
20.1
20.3
24.5
24.8
13.9
11.4
22.9
23.9
13.1
14.9
22.3
17.8


158
20.4
13.9
20.1
18.8
20.2
20.5
24.7
25.0
13.9
11.4
23.1
24.1
13.2
15.0
22.5
17.8


160
20.5
14.0
20.2
18.9
20.3
20.6
24.9
25.2
14.0
11.5
23.4
24.3
13.3
15.1
22.6
17.9


162
20.6
14.0
20.3
19.0
20.3
20.7
25.1
25.4
14.0
11.5
23.6
24.5
13.4
15.2
22.7
18.0


164
20.7
14.1
20.4
19.0
20.4
20.8
25.3
25.6
14.1
11.5
23.8
24.7
13.5
15.3
22.8
18.0


166
20.8
14.1
20.6
19.1
20.5
20.9
25.5
25.9
14.1
11.5
24.1
25.0
13.6
15.4
23.0
18.1


168
20.9
14.2
20.7
19.2
20.6
21.0
25.7
26.1
14.1
11.5
24.3
25.2
13.7
15.5
23.1
18.2


170
21.1
14.3
20.8
19.3
20.7
21.1
25.9
26.3
14.2
11.4
24.6
25.4
13.8
15.6
23.2
18.2


172
21.2
14.3
20.9
19.4
20.8
21.2
26.1
26.5
14.2
11.4
24.8
25.7
13.9
15.7
23.3
18.3


174
21.3
14.4
20.9
19.5
20.8
21.3
26.3
26.7
14.2
11.4
25.0
25.9
14.0
15.8
23.5
18.3


176
21.4
14.5
21.0
19.5
20.9
21.4
26.5
26.9
14.3
11.4
25.3
26.1
14.1
15.8
23.6
18.4


178
21.5
14.5
21.1
19.6
20.9
21.5
26.7
27.1
14.3
11.4
25.5
26.4
14.2
15.9
23.7
18.4


180
21.6
14.6
21.2
19.7
21.0
21.5
26.9
27.3
14.3
11.3
25.7
26.6
14.2
16.0
23.8
18.4


182
21.6
14.7
21.3
19.7
21.0
21.6
27.1
27.5
14.3
11.3
25.9
26.8
14.3
16.1
23.9
18.5


184
21.7
14.7
21.3
19.8
21.1
21.7
27.3
27.7
14.3
11.2
26.1
27.0
14.4
16.2
24.0
18.5


186
21.8
14.8
21.4
19.9
21.1
21.7
27.5
27.9
14.3
11.1
26.3
27.2
14.4
16.2
24.0
18.5


188
21.9
14.8
21.5
19.9
21.1
21.7
27.7
28.0
14.3
11.1
26.5
27.4
14.5
16.3
24.1
18.5


190
21.9
14.9
21.5
19.9
21.2
21.8
27.8
28.2
14.3
11.0
26.7
27.6
14.5
16.3
24.2
18.5


192
22.0
14.9
21.5
20.0
21.2
21.8
28.0
28.4
14.3
10.9
26.9
27.8
14.5
16.4
24.2
18.5


194
22.0
14.9
21.6
20.0
21.2
21.8
28.2
28.5
14.2
10.8
27.1
28.0
14.6
16.4
24.3
18.5


196
22.1
15.0
21.6
20.0
21.2
21.8
28.3
28.7
14.2
10.7
27.2
28.2
14.6
16.5
24.3
18.4


198
22.1
15.0
21.6
20.0
21.1
21.8
28.5
28.8
14.1
10.6
27.4
28.4
14.6
16.5
24.4
18.4


200
22.1
15.0
21.6
20.1
21.1
21.8
28.6
28.9
14.1
10.5
27.5
28.6
14.6
16.5
24.4
18.3


Min
19.2
13.7
19.1
18.2
19.2
19.3
22.8
22.9
13.7
10.5
21.1
22.0
12.3
14.2
21.2
17.2


Max
22.1
15.0
21.6
20.1
21.2
21.8
28.6
28.9
14.3
11.5
27.5
28.6
14.6
16.5
24.4
18.5


σ
1.0
0.5
0.8
0.7
0.7
0.9
1.8
1.9
0.2
0.3
2.1
2.1
0.8
0.8
1.1
0.4



Y

20.8
14.3
20.6
19.2
20.4
20.8
25.7
26.0
14.0
11.3
24.3
25.2
13.6
15.4
23.0
18.0


{tilde over (Y)}
20.9
14.2
20.7
19.2
20.6
21.0
25.7
26.1
14.1
11.4
24.3
25.2
13.7
15.5
23.1
18.2





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 22







Trend Line Values |Y|ϕO2HHb between UAe and UANA.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
Ref
L
R
L
R
L
R
Op|
Op|


























202
22.1
15.0
21.6
20.1
21.1
21.8
28.8
29.1
14.0
10.3
27.6
28.7
14.6
16.6
24.4
18.3


204
22.2
15.0
21.6
20.0
21.0
21.7
28.9
29.2
14.0
10.2
27.7
28.9
14.6
16.6
24.4
18.2


206
22.2
15.0
21.6
20.0
21.0
21.7
29.1
29.3
13.9
10.1
27.8
29.0
14.5
16.6
24.4
18.1


208
22.2
15.0
21.6
20.0
20.9
21.6
29.2
29.4
13.8
9.9
27.9
29.2
14.5
16.6
24.4
18.1


210
22.2
15.0
21.5
20.0
20.9
21.5
29.3
29.5
13.7
9.8
28.0
29.3
14.5
16.6
24.4
18.0


212
22.1
15.0
21.5
19.9
20.8
21.5
29.4
29.6
13.6
9.6
28.1
29.4
14.4
16.6
24.4
17.9


214
22.1
15.0
21.4
19.9
20.7
21.4
29.6
29.7
13.5
9.4
28.1
29.5
14.4
16.6
24.3
17.8


216
22.1
14.9
21.4
19.9
20.6
21.3
29.7
29.8
13.4
9.3
28.2
29.6
14.4
16.6
24.3
17.6


218
22.1
14.9
21.3
19.8
20.5
21.2
29.8
29.9
13.3
9.1
28.2
29.7
14.3
16.6
24.2
17.5


220
22.0
14.9
21.2
19.7
20.4
21.1
29.9
30.0
13.2
8.9
28.2
29.8
14.2
16.6
24.1
17.3


222
22.0
14.8
21.2
19.7
20.3
20.9
30.0
30.1
13.1
8.8
28.2
29.9
14.2
16.6
24.1
17.2


224
21.9
14.8
21.1
19.6
20.2
20.8
30.0
30.2
13.0
8.6
28.2
30.0
14.1
16.6
24.0
17.0


226
21.9
14.7
21.0
19.5
20.1
20.7
30.1
30.3
12.9
8.4
28.2
30.1
14.0
16.6
23.9
16.9


228
21.8
14.7
20.9
19.4
19.9
20.5
30.2
30.4
12.7
8.3
28.2
30.2
14.0
16.5
23.8
16.7


230
21.8
14.6
20.8
19.3
19.8
20.4
30.3
30.4
12.6
8.1
28.1
30.2
13.9
16.5
23.7
16.5


232
21.7
14.5
20.7
19.2
19.6
20.2
30.4
30.5
12.5
7.9
28.1
30.3
13.8
16.5
23.5
16.3


234
21.7
14.5
20.6
19.1
19.5
20.1
30.4
30.6
12.4
7.8
28.0
30.3
13.8
16.5
23.4
16.2


236
21.6
14.4
20.5
19.0
19.3
19.9
30.5
30.7
12.3
7.6
28.0
30.4
13.7
16.5
23.3
16.0


238
21.5
14.3
20.4
18.9
19.2
19.8
30.5
30.8
12.2
7.5
27.9
30.4
13.6
16.5
23.2
15.8


240
21.4
14.2
20.2
18.8
19.0
19.6
30.6
30.9
12.0
7.4
27.8
30.5
13.6
16.4
23.0
15.6


242
21.4
14.1
20.1
18.7
18.9
19.4
30.6
30.9
11.9
7.3
27.7
30.5
13.5
16.4
22.9
15.4


244
21.3
14.1
20.0
18.6
18.7
19.3
30.7
31.0
11.8
7.1
27.6
30.6
13.5
16.4
22.8
15.2


246
21.2
14.0
19.9
18.4
18.6
19.1
30.7
31.1
11.7
7.0
27.5
30.6
13.4
16.4
22.6
15.0


248
21.1
13.9
19.8
18.3
18.4
18.9
30.8
31.2
11.7
6.9
27.4
30.6
13.4
16.4
22.5
14.9


250
21.0
13.8
19.7
18.2
18.2
18.8
30.8
31.3
11.6
6.9
27.3
30.7
13.3
16.4
22.3
14.7


Min
21.0
13.8
19.7
18.2
18.2
18.8
28.8
29.1
11.6
6.9
27.3
28.7
13.3
16.4
22.3
14.7


Max
22.2
15.0
21.6
20.1
21.1
21.8
30.8
31.3
14.0
10.3
28.2
30.7
14.6
16.6
24.4
18.3


σ
0.4
0.4
0.6
0.6
0.9
1.0
0.6
0.7
0.8
1.1
0.3
0.6
0.4
0.1
0.7
1.2



Y

21.8
14.6
20.9
19.4
19.9
20.5
30.0
30.2
12.8
8.5
27.9
29.9
14.0
16.5
23.7
16.7


{tilde over (Y)}
21.9
14.7
21.0
19.5
20.1
20.7
30.1
30.3
12.9
8.4
28.0
30.1
14.0
16.6
23.9
16.9





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 23







Trend Line Values |Y|ϕO2HHb ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Opl


























252
20.9
13.7
19.5
18.1
18.1
18.6
30.9
31.4
11.5
6.8
27.2
30.7
13.3
16.4
22.2
14.5


254
20.8
13.6
19.4
18.0
17.9
18.4
30.9
31.5
11.4
6.7
27.0
30.7
13.2
16.4
22.1
14.3


256
20.7
13.4
19.3
17.8
17.7
18.3
30.9
31.6
11.4
6.7
26.9
30.7
13.2
16.4
21.9
14.2


258
20.6
13.3
19.2
17.7
17.6
18.1
30.9
31.7
11.3
6.7
26.8
30.8
13.2
16.4
21.8
14.0


260
20.5
13.2
19.1
17.6
17.4
17.9
30.9
31.8
11.3
6.7
26.7
30.8
13.2
16.3
21.7
13.8


262
20.4
13.1
19.0
17.5
17.2
17.8
31.0
31.8
11.2
6.6
26.5
30.8
13.1
16.3
21.5
13.7


264
20.3
12.9
18.9
17.3
17.1
17.6
31.0
31.9
11.2
6.7
26.4
30.8
13.1
16.3
21.4
13.5


266
20.2
12.8
18.8
17.2
16.9
17.4
31.0
32.0
11.2
6.7
26.3
30.9
13.1
16.3
21.3
13.4


268
20.0
12.6
18.7
17.1
16.7
17.3
30.9
32.1
11.2
6.7
26.2
30.9
13.1
16.3
21.2
13.2


270
19.9
12.5
18.7
17.0
16.5
17.1
30.9
32.1
11.2
6.7
26.0
30.9
13.0
16.3
21.0
13.1


272
19.7
12.3
18.6
16.9
16.4
17.0
30.9
32.2
11.2
6.8
25.9
30.9
13.0
16.2
20.9
12.9


274
19.6
12.1
18.5
16.7
16.2
16.8
30.8
32.2
11.2
6.8
25.8
30.9
13.0
16.2
20.8
12.8


276
19.4
11.9
18.4
16.6
16.0
16.7
30.8
32.2
11.2
6.9
25.6
31.0
12.9
16.1
20.6
12.7


278
19.2
11.6
18.4
16.5
15.8
16.5
30.7
32.2
11.2
6.9
25.5
31.0
12.9
16.0
20.5
12.5


280
18.9
11.4
18.3
16.4
15.7
16.3
30.6
32.2
11.3
7.0
25.4
31.0
12.8
15.9
20.3
12.4


282
18.7
11.1
18.3
16.2
15.5
16.2
30.5
32.1
11.3
7.0
25.3
31.0
12.7
15.8
20.2
12.2


284
18.4
10.8
18.2
16.1
15.3
16.0
30.4
32.0
11.3
7.0
25.1
31.0
12.7
15.7
20.0
12.1


286
18.1
10.4
18.1
16.0
15.1
15.8
30.2
31.8
11.3
7.1
25.0
30.9
12.5
15.5
19.9
11.9


288
17.7
10.1
18.1
15.8
14.8
15.6
30.0
31.7
11.3
7.1
24.9
30.9
12.4
15.3
19.7
11.7


290
17.3
9.6
18.0
15.7
14.6
15.4
29.8
31.4
11.4
7.1
24.7
30.8
12.2
15.1
19.5
11.6


292
16.9
9.2
18.0
15.5
14.4
15.2
29.5
31.2
11.4
7.0
24.6
30.8
12.0
14.8
19.3
11.4


294
16.4
8.7
17.9
15.3
14.1
15.0
29.3
30.8
11.3
7.0
24.4
30.7
11.7
14.5
19.1
11.2


296
15.9
8.1
17.8
15.1
13.8
14.7
28.9
30.4
11.3
6.9
24.2
30.6
11.4
14.1
18.9
10.9


298
15.3
7.5
17.7
14.9
13.5
14.5
28.5
29.9
11.2
6.7
24.1
30.5
11.1
13.7
18.7
10.7


300
14.7
6.8
17.6
14.7
13.2
14.2
28.1
29.3
11.2
6.5
23.9
30.3
10.6
13.2
18.4
10.4


Min
14.7
6.8
17.6
14.7
13.2
14.2
28.1
29.3
11.2
6.5
23.9
30.3
10.6
13.2
18.4
10.4


Max
20.9
13.7
19.5
18.1
18.1
18.6
31.0
32.2
11.5
7.1
27.2
31.0
13.3
16.4
22.2
14.5


σ
1.8
2.0
0.6
1.0
1.4
1.3
0.8
0.7
0.1
0.2
1.0
0.2
0.7
0.9
1.1
1.2



Y

18.8
11.3
18.5
16.5
15.9
16.6
30.3
31.6
11.3
6.8
25.6
30.8
12.6
15.7
20.5
12.6


{tilde over (Y)}
19.4
11.9
18.4
16.6
16.0
16.7
30.8
31.8
11.3
6.8
25.6
30.8
12.9
16.1
20.6
12.7





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.15. In Table 24, Table 25 and Table 26, the calculated values of |Y|HHb of each TMM, at each intensity can be observed.














TABLE 24







Trend Line Values |Y|HHb between UAmin and UAe.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
Ref
L
R
L
R
L
R
Op|
Op|


























136
3.6
6.1
3.0
3.5
3.5
2.9
1.2
1.1
5.9
6.9
1.9
1.7
7.0
5.8
4.5
2.4


138
3.7
6.2
3.0
3.5
3.5
2.9
1.2
1.1
6.0
7.0
1.9
1.7
7.0
5.8
4.6
2.5


140
3.7
6.2
3.0
3.5
3.5
2.9
1.2
1.1
6.0
7.0
1.8
1.7
7.0
5.8
4.6
2.5


142
3.7
6.2
3.0
3.6
3.6
2.9
1.2
1.1
6.0
7.1
1.8
1.7
7.1
5.8
4.6
2.5


144
3.7
6.3
3.0
3.6
3.6
2.9
1.2
1.1
6.1
7.1
1.8
1.6
7.1
5.8
4.7
2.5


146
3.7
6.3
3.0
3.6
3.6
2.9
1.2
1.1
6.1
7.2
1.8
1.6
7.1
5.8
4.7
2.5


148
3.7
6.3
3.0
3.6
3.6
2.9
1.2
1.1
6.2
7.2
1.7
1.6
7.0
5.8
4.7
2.5


150
3.7
6.3
3.0
3.6
3.6
2.9
1.2
1.0
6.2
7.2
1.7
1.6
7.0
5.8
4.7
2.5


152
3.7
6.4
3.0
3.6
3.6
2.9
1.1
1.0
6.2
7.3
1.7
1.5
7.0
5.8
4.7
2.5


154
3.7
6.4
3.0
3.6
3.6
2.9
1.1
1.0
6.3
7.3
1.6
1.5
7.0
5.8
4.8
2.5


156
3.7
6.4
3.0
3.6
3.6
2.9
1.1
1.0
6.3
7.4
1.6
1.5
7.0
5.8
4.8
2.5


158
3.7
6.4
3.0
3.7
3.7
2.9
1.1
1.0
6.3
7.4
1.6
1.4
7.0
5.8
4.8
2.5


160
3.8
6.4
3.0
3.7
3.7
2.9
1.1
1.0
6.4
7.5
1.5
1.4
7.0
5.8
4.8
2.5


162
3.8
6.4
3.1
3.7
3.7
2.9
1.1
1.0
6.4
7.5
1.5
1.4
7.0
5.7
4.8
2.5


164
3.8
6.5
3.1
3.7
3.7
2.9
1.1
1.0
6.4
7.5
1.4
1.3
7.0
5.7
4.8
2.5


166
3.8
6.5
3.1
3.7
3.7
2.9
1.0
1.0
6.5
7.6
1.4
1.3
7.0
5.7
4.9
2.5


168
3.8
6.5
3.1
3.7
3.7
2.9
1.0
0.9
6.5
7.6
1.3
1.3
7.0
5.7
4.9
2.5


170
3.8
6.5
3.1
3.7
3.7
2.9
1.0
0.9
6.5
7.7
1.3
1.3
7.0
5.7
4.9
2.5


172
3.8
6.5
3.1
3.7
3.7
2.9
1.0
0.9
6.6
7.7
1.3
1.2
7.0
5.7
4.9
2.5


174
3.8
6.5
3.1
3.7
3.7
2.9
1.0
0.9
6.6
7.8
1.2
1.2
7.0
5.7
5.0
2.5


176
3.8
6.5
3.1
3.8
3.8
2.9
1.0
0.9
6.7
7.8
1.2
1.2
7.0
5.7
5.0
2.6


178
3.8
6.5
3.2
3.8
3.8
2.9
1.0
0.9
6.7
7.9
1.2
1.1
7.0
5.7
5.0
2.6


180
3.8
6.6
3.2
3.8
3.8
3.0
1.0
0.9
6.8
7.9
1.1
1.1
7.0
5.7
5.0
2.6


182
3.9
6.6
3.2
3.8
3.8
3.0
1.0
0.9
6.8
8.0
1.1
1.1
7.0
5.7
5.1
2.6


184
3.9
6.6
3.2
3.9
3.9
3.0
1.0
0.9
6.8
8.1
1.1
1.1
7.0
5.7
5.1
2.6


186
3.9
6.6
3.3
3.9
3.9
3.0
1.0
0.9
6.9
8.1
1.1
1.1
7.0
5.7
5.1
2.6


188
3.9
6.6
3.3
3.9
3.9
3.1
1.0
0.9
6.9
8.2
1.1
1.1
7.1
5.7
5.2
2.7


190
4.0
6.7
3.4
4.0
4.0
3.1
1.0
0.9
7.0
8.2
1.1
1.1
7.1
5.7
5.2
2.7


192
4.0
6.7
3.4
4.0
4.0
3.2
1.0
0.9
7.0
8.3
1.1
1.1
7.1
5.7
5.3
2.7


194
4.0
6.7
3.4
4.0
4.0
3.2
1.0
0.9
7.1
8.4
1.1
1.1
7.1
5.7
5.3
2.8


196
4.1
6.8
3.5
4.1
4.1
3.3
1.0
0.9
7.2
8.5
1.1
1.1
7.2
5.8
5.4
2.8


198
4.1
6.8
3.5
4.1
4.1
3.4
1.0
1.0
7.2
8.5
1.1
1.1
7.2
5.8
5.4
2.8


200
4.1
6.8
3.6
4.2
4.2
3.4
1.0
1.0
7.3
8.6
1.1
1.1
7.2
5.8
5.5
2.9


Min
3.6
6.1
3.0
3.5
3.5
2.9
1.0
0.9
5.9
6.9
1.1
1.1
7.0
5.7
4.5
2.4


Max
4.1
6.8
3.6
4.2
4.2
3.4
1.2
1.1
7.3
8.6
1.9
1.7
7.2
5.8
5.5
2.9


σ
0.1
0.2
0.2
0.2
0.2
0.1
1.0
1.0
0.4
0.5
0.3
0.2
0.1
0.1
0.3
0.1



Y

3.8
6.5
3.2
3.8
3.8
3.0
1.1
1.0
6.5
7.7
1.4
1.3
7.0
5.7
4.9
2.6


{tilde over (Y)}
3.8
6.5
3.1
3.7
3.7
2.9
1.0
1.0
6.5
7.6
1.3
1.3
7.0
5.7
4.9
2.5





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 25







Trend Line Values |Y|HHb between UAe and UANA.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























202
4.2
6.9
3.7
4.3
4.3
3.5
1.0
1.0
7.3
8.7
1.1
1.1
7.3
5.9
5.5
2.9


204
4.2
6.9
3.7
4.3
4.3
3.6
1.0
1.0
7.4
8.8
1.1
1.1
7.3
5.9
5.6
2.9


206
4.3
7.0
3.8
4.4
4.4
3.7
1.0
1.0
7.5
8.8
1.2
1.1
7.4
5.9
5.6
3.0


208
4.3
7.0
3.9
4.4
4.4
3.7
1.0
1.0
7.5
8.9
1.2
1.2
7.4
6.0
5.7
3.0


210
4.4
7.1
3.9
4.5
4.5
3.8
1.1
1.0
7.6
9.0
1.2
1.2
7.5
6.0
5.8
3.1


212
4.4
7.1
4.0
4.6
4.6
3.9
1.1
1.0
7.6
9.1
1.3
1.2
7.5
6.1
5.8
3.2


214
4.5
7.2
4.1
4.6
4.6
4.0
1.1
1.1
7.7
9.2
1.3
1.3
7.6
6.1
5.9
3.2


216
4.5
7.2
4.1
4.7
4.7
4.1
1.1
1.1
7.8
9.2
1.4
1.3
7.6
6.2
6.0
3.3


218
4.6
7.3
4.2
4.8
4.8
4.2
1.1
1.1
7.8
9.3
1.5
1.3
7.7
6.3
6.1
3.3


220
4.7
7.3
4.3
4.9
4.9
4.3
1.2
1.1
7.9
9.4
1.5
1.4
7.8
6.3
6.1
3.4


222
4.7
7.4
4.4
4.9
4.9
4.4
1.2
1.1
8.0
9.5
1.6
1.4
7.8
6.4
6.2
3.5


224
4.8
7.4
4.5
5.0
5.0
4.5
1.2
1.1
8.0
9.5
1.6
1.4
7.9
6.4
6.3
3.5


226
4.9
7.5
4.5
5.1
5.1
4.6
1.2
1.1
8.1
9.6
1.7
1.5
7.9
6.5
6.4
3.6


228
4.9
7.6
4.6
5.2
5.2
4.7
1.2
1.1
8.2
9.7
1.8
1.5
8.0
6.6
6.5
3.7


230
5.0
7.6
4.7
5.3
5.3
4.8
1.3
1.2
8.2
9.8
1.9
1.5
8.0
6.6
6.5
3.7


232
5.1
7.7
4.8
5.3
5.3
4.9
1.3
1.2
8.3
9.8
1.9
1.6
8.1
6.7
6.6
3.8


234
5.1
7.7
4.8
5.4
5.4
5.0
1.3
1.2
8.4
9.9
2.0
1.6
8.1
6.7
6.7
3.9


236
5.2
7.8
4.9
5.5
5.5
5.1
1.3
1.2
8.4
10.0
2.1
1.6
8.2
6.8
6.8
3.9


238
5.3
7.9
5.0
5.6
5.6
5.2
1.3
1.2
8.5
10.0
2.2
1.7
8.2
6.8
6.9
4.0


240
5.4
7.9
5.1
5.6
5.6
5.3
1.4
1.2
8.5
10.1
2.3
1.7
8.3
6.9
6.9
4.1


242
5.4
8.0
5.1
5.7
5.7
5.4
1.4
1.2
8.6
10.1
2.3
1.7
8.3
6.9
7.0
4.1


244
5.5
8.0
5.2
5.8
5.8
5.5
1.4
1.2
8.6
10.2
2.4
1.8
8.4
7.0
7.1
4.2


246
5.6
8.1
5.3
5.9
5.9
5.6
1.4
1.2
8.7
10.2
2.5
1.8
8.4
7.0
7.2
4.3


248
5.6
8.1
5.3
5.9
5.9
5.7
1.4
1.2
8.7
10.3
2.6
1.8
8.4
7.1
7.2
4.4


250
5.7
8.2
5.4
6.0
6.0
5.8
1.5
1.2
8.8
10.3
2.6
1.8
8.5
7.1
7.3
4.4


Min
4.2
6.9
3.7
4.3
4.3
3.5
1.0
1.0
7.3
8.7
1.1
1.1
7.3
5.9
5.5
2.9


Max
5.7
8.2
5.4
6.0
6.0
5.8
1.5
1.2
8.8
10.3
2.6
1.8
8.5
7.1
7.3
4.4


σ
0.5
0.4
0.5
0.5
0.5
0.7
0.1
0.1
0.4
0.5
0.5
0.2
0.4
0.4
0.6
0.5



Y

4.9
7.5
4.5
5.1
5.1
4.6
1.2
1.1
8.1
9.6
1.8
1.5
7.9
6.5
6.4
3.6


{tilde over (Y)}
4.9
7.5
4.5
5.1
5.1
4.6
1.2
1.1
8.1
9.6
1.7
1.5
7.9
6.5
6.4
3.6





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 26







Trend Line Values |Y|HHb ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























252
5.8
8.2
5.4
6.0
6.0
5.8
1.5
1.2
8.8
0 00
2.7
1.8
8.5
7.1
7.4
4.5


254
5.8
8.3
5.5
6.1
6.1
5.9
1.5
1.2
8.8
10.4
2.8
1.8
8.5
7.1
7.5
4.6


256
5.9
8.3
5.5
6.2
6.2
6.0
1.5
1.2
8.9
10.4
2.8
1.8
8.6
7.2
7.5
4.6


258
6.0
8.4
5.6
6.2
6.2
6.0
1.5
1.2
8.9
10.4
2.9
1.9
8.6
7.2
7.6
4.7


260
6.0
8.5
5.6
6.3
6.3
6.1
1.5
1.2
8.9
10.4
2.9
1.9
8.6
7.2
7.7
4.7


262
6.1
8.5
5.7
6.3
6.3
6.2
1.6
1.2
8.9
10.4
3.0
1.9
8.6
7.2
7.7
4.8


264
6.1
8.6
5.7
6.4
6.4
6.2
1.6
1.2
9.0
10.4
3.1
1.9
8.6
7.2
7.8
4.8


266
6.2
8.6
5.8
6.4
6.4
6.3
1.6
1.2
9.0
10.5
3.1
1.8
8.6
7.2
7.8
4.9


268
6.3
8.7
5.8
6.4
6.4
6.3
1.6
1.2
9.0
10.5
3.1
1.8
8.6
7.2
7.9
4.9


270
6.3
8.7
5.8
6.5
6.5
6.4
1.7
1.3
9.0
10.5
3.2
1.8
8.7
7.2
7.9
5.0


272
6.4
8.8
5.9
6.5
6.5
6.4
1.7
1.3
9.0
10.5
3.2
1.8
8.7
7.2
8.0
5.0


274
6.5
8.9
5.9
6.6
6.6
6.5
1.7
1.3
9.0
10.5
3.2
1.8
8.7
7.2
8.0
5.1


276
6.5
8.9
5.9
6.6
6.6
6.5
1.7
1.3
9.1
10.4
3.3
1.8
8.7
7.2
8.1
5.1


278
6.6
9.0
6.0
6.7
6.7
6.6
1.8
1.4
9.1
10.4
3.3
1.8
8.7
7.2
8.1
5.2


280
6.7
9.1
6.0
6.7
6.7
6.7
1.8
1.4
9.1
10.4
3.3
1.8
8.8
7.2
8.2
5.2


282
6.7
9.2
6.1
6.8
6.8
6.7
1.9
1.5
9.1
10.4
3.4
1.8
8.8
7.3
8.2
5.3


284
6.8
9.3
6.1
6.8
6.8
6.8
2.0
1.6
9.1
10.5
3.4
1.8
8.8
7.3
8.3
5.3


286
6.9
9.4
6.2
6.9
6.9
6.9
2.0
1.7
9.1
10.5
3.4
1.8
8.9
7.3
8.4
5.4


288
7.0
9.6
6.2
6.9
6.9
7.0
2.1
1.8
9.2
10.5
3.4
1.8
9.0
7.4
8.4
5.5


290
7.1
9.7
6.3
7.0
7.0
7.1
2.2
1.9
9.2
10.5
3.5
1.8
9.0
7.4
8.5
5.6


292
7.2
9.9
6.4
7.1
7.1
7.2
2.3
2.0
9.2
10.5
3.5
1.9
9.1
7.5
8.6
5.7


294
7.3
10.1
6.5
7.2
7.2
7.4
2.5
2.2
9.3
10.6
3.5
1.9
9.3
7.6
8.7
5.8


296
7.5
10.3
6.6
7.3
7.3
7.5
2.6
2.4
9.4
10.7
3.6
2.0
9.4
7.7
8.9
5.9


298
7.6
10.6
6.7
7.5
7.5
7.7
2.8
2.6
9.4
10.7
3.7
2.1
9.6
7.9
9.0
6.1


300
7.8
10.9
6.9
7.6
7.6
7.9
3.0
2.8
9.5
10.8
3.7
2.2
9.8
8.1
9.2
6.2


Min
5.8
8.2
5.4
6.0
6.0
5.8
1.5
1.2
8.8
10.3
2.7
1.8
8.5
7.1
7.4
4.5


Max
7.8
10.9
6.9
7.6
7.6
7.9
3.0
2.8
9.5
10.8
3.7
2.2
9.8
8.1
9.2
6.2


σ
0.6
0.7
0.4
0.4
0.4
0.6
0.4
0.5
0.2
0.1
0.3
0.1
0.3
0.2
0.5
0.5



Y

6.6
9.1
6.0
6.7
6.7
6.7
1.9
1.6
9.1
10.5
3.2
1.9
8.8
7.3
8.1
5.2


{tilde over (Y)}
6.5
8.9
5.9
6.6
6.6
6.5
1.7
1.3
9.1
10.5
3.3
1.8
8.7
7.2
8.1
5.1





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.16. In Table 27, Table 28 and Table 29, the calculated values of |Y|ϕHHb of each TMM, at each intensity can be observed.














TABLE 27







Trend Line Values |Y|ϕHHb between UAmin and UAe.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
Ref
L
R
L
R
L
R
Op|
Op|


























136
7.7
13.0
6.6
7.6
6.7
6.4
2.9
2.8
12.8
15.1
3.9
3.7
15.1
12.1
9.4
4.9


138
7.7
13.1
6.7
7.7
6.7
6.4
2.9
2.8
12.9
15.2
3.9
3.7
15.2
12.2
9.5
5.0


140
7.8
13.3
6.7
7.8
6.8
6.5
2.9
2.8
13.1
15.3
3.9
3.7
15.3
12.3
9.6
5.0


142
7.9
13.4
6.8
7.8
6.8
6.5
2.9
2.8
13.2
15.5
3.9
3.7
15.4
12.4
9.6
5.0


144
8.0
13.6
6.8
7.9
6.8
6.5
2.8
2.7
13.4
15.6
3.8
3.6
15.4
12.5
9.7
5.0


146
8.0
13.7
6.8
8.0
6.9
6.6
2.8
2.7
13.5
15.7
3.8
3.6
15.5
12.5
9.8
5.1


148
8.1
13.9
6.8
8.0
6.9
6.6
2.8
2.7
13.6
15.9
3.7
3.6
15.5
12.6
9.9
5.1


150
8.2
14.0
6.8
8.1
6.9
6.6
2.7
2.6
13.8
16.0
3.7
3.5
15.6
12.7
9.9
5.1


152
8.2
14.1
6.9
8.1
7.0
6.6
2.7
2.6
13.9
16.1
3.6
3.4
15.6
12.7
10.0
5.1


154
8.3
14.2
6.9
8.1
7.0
6.6
2.6
2.5
14.0
16.2
3.5
3.4
15.6
12.8
10.0
5.1


156
8.4
14.3
6.9
8.2
7.0
6.6
2.6
2.5
14.1
16.4
3.5
3.3
15.7
12.8
10.1
5.1


158
8.4
14.4
6.9
8.2
7.0
6.6
2.5
2.4
14.2
16.5
3.4
3.2
15.7
12.9
10.2
5.1


160
8.5
14.5
6.9
8.2
7.1
6.6
2.5
2.3
14.4
16.6
3.3
3.2
15.8
12.9
10.2
5.1


162
8.6
14.6
6.9
8.3
7.1
6.6
2.4
2.3
14.5
16.8
3.3
3.1
15.8
13.0
10.3
5.1


164
8.6
14.7
6.9
8.3
7.1
6.6
2.4
2.2
14.6
16.9
3.2
3.0
15.8
13.0
10.4
5.1


166
8.7
14.8
7.0
8.4
7.2
6.6
2.3
2.1
14.8
17.1
3.1
3.0
15.9
13.1
10.4
5.1


168
8.8
15.0
7.0
8.4
7.2
6.6
2.3
2.1
14.9
17.3
3.1
2.9
15.9
13.1
10.5
5.1


170
8.8
15.1
7.0
8.5
7.3
6.6
2.2
2.0
15.0
17.4
3.0
2.8
16.0
13.2
10.6
5.1


172
8.9
15.2
7.1
8.5
7.3
6.7
2.2
1.9
15.2
17.6
3.0
2.8
16.1
13.2
10.7
5.1


174
9.0
15.3
7.1
8.6
7.4
6.7
2.1
1.9
15.4
17.8
2.9
2.7
16.1
13.3
10.8
5.2


176
9.1
15.4
7.2
8.7
7.5
6.8
2.1
1.8
15.5
18.0
2.9
2.7
16.2
13.4
10.9
5.2


178
9.2
15.5
7.3
8.8
7.6
6.8
2.1
1.8
15.7
18.3
2.8
2.6
16.3
13.5
11.1
5.3


180
9.3
15.7
7.3
8.9
7.7
6.9
2.0
1.8
15.9
18.5
2.8
2.6
16.4
13.6
11.2
5.3


182
9.4
15.8
7.4
9.0
7.8
7.0
2.0
1.7
16.1
18.8
2.8
2.6
16.6
13.7
11.4
5.4


184
9.5
15.9
7.5
9.1
7.9
7.1
2.0
1.7
16.3
19.0
2.8
2.5
16.7
13.8
11.5
5.5


186
9.6
16.1
7.6
9.2
8.1
7.2
2.0
1.7
16.5
19.3
2.8
2.5
16.8
13.9
11.7
5.6


188
9.7
16.3
7.8
9.4
8.2
7.4
2.0
1.7
16.7
19.6
2.8
2.5
17.0
14.0
11.9
5.7


190
9.8
16.4
7.9
9.5
8.4
7.5
2.0
1.7
16.9
19.9
2.8
2.5
17.2
14.2
12.1
5.8


192
10.0
16.6
8.1
9.7
8.6
7.7
2.0
1.7
17.2
20.3
2.8
2.5
17.4
14.3
12.3
6.0


194
10.1
16.8
8.3
9.9
8.8
7.9
2.0
1.7
17.4
20.6
2.9
2.6
17.6
14.5
12.5
6.1


196
10.3
17.0
8.4
10.1
9.0
8.1
2.0
1.7
17.7
21.0
2.9
2.6
17.8
14.6
12.8
6.3


198
10.4
17.2
8.6
10.3
9.2
8.3
2.1
1.7
18.0
21.3
3.0
2.6
18.0
14.8
13.1
6.4


200
10.6
17.4
8.8
10.5
9.4
8.5
2.1
1.8
18.2
21.7
3.0
2.7
18.2
15.0
13.3
6.6


Min
7.7
13.0
6.6
7.6
6.7
6.4
2.0
1.7
12.8
15.1
2.8
2.5
15.1
12.1
9.4
4.9


Max
10.6
17.4
8.8
10.5
9.4
8.5
2.9
2.8
18.2
21.7
3.9
3.7
18.2
15.0
13.3
6.6


σ
0.8
1.2
0.6
0.8
0.8
0.6
0.3
0.4
1.6
1.9
0.4
0.4
0.8
0.8
1.1
0.5



Y

8.9
15.0
7.3
8.7
7.5
6.9
2.4
2.1
15.1
17.7
3.2
3.0
16.2
13.3
10.8
5.3


{tilde over (Y)}
8.8
15.0
7.0
8.4
7.2
6.6
2.3
2.1
14.9
17.3
3.1
2.9
15.9
13.1
10.5
5.1





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 28







Trend Line Values |Y|ϕHHb between UAe and UANA.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























202
10.8
17.6
9.1
10.7
9.7
8.7
2.2
1.8
18.5
22.1
3.1
2.7
18.5
15.2
13.6
6.8


204
11.0
17.8
9.3
11.0
10.0
9.0
2.2
1.9
18.8
22.5
3.2
2.8
18.7
15.4
13.9
7.0


206
11.1
18.1
9.6
11.2
10.2
9.3
2.3
1.9
19.1
22.9
3.3
2.9
19.0
15.6
14.2
7.2


208
11.3
18.3
9.8
11.5
10.5
9.6
2.4
2.0
19.4
23.3
3.4
3.0
19.3
15.8
14.5
7.4


210
11.6
18.6
10.1
11.8
10.8
9.9
2.5
2.1
19.8
23.7
3.6
3.1
19.6
16.1
14.8
7.6


212
11.8
18.8
10.4
12.1
11.1
10.2
2.5
2.2
20.1
24.2
3.7
3.2
19.9
16.3
15.1
7.8


214
12.0
19.1
10.7
12.3
11.5
10.5
2.6
2.3
20.4
24.6
3.9
3.3
20.2
16.6
15.4
8.1


216
12.2
19.4
11.0
12.6
11.8
10.9
2.7
2.4
20.8
25.0
4.0
3.4
20.5
16.8
15.7
8.3


218
12.5
19.6
11.3
13.0
12.1
11.2
2.8
2.5
21.1
25.4
4.2
3.5
20.8
17.1
16.0
8.6


220
12.7
19.9
11.6
13.3
12.5
11.6
2.9
2.6
21.5
25.9
4.3
3.6
21.1
17.3
16.4
8.8


222
12.9
20.2
11.9
13.6
12.9
11.9
3.0
2.7
21.8
26.3
4.5
3.8
21.4
17.6
16.7
9.1


224
13.2
20.5
12.2
13.9
13.2
12.3
3.2
2.8
22.2
26.7
4.7
3.9
21.7
17.8
17.1
9.3


226
13.5
20.8
12.5
14.2
13.6
12.7
3.3
2.9
22.5
27.1
4.9
4.0
22.1
18.1
17.4
9.6


228
13.7
21.1
12.9
14.6
14.0
13.1
3.4
3.0
22.9
27.5
5.1
4.2
22.4
18.3
17.8
9.9


230
14.0
21.4
13.2
14.9
14.3
13.5
3.5
3.1
23.2
27.9
5.3
4.3
22.7
18.6
18.2
10.2


232
14.3
21.7
13.5
15.2
14.7
13.9
3.6
3.3
23.6
28.3
5.5
4.4
23.0
18.9
18.5
10.5


234
14.5
22.0
13.9
15.5
15.1
14.3
3.8
3.4
23.9
28.7
5.8
4.5
23.3
19.1
18.9
10.7


236
14.8
22.3
14.2
15.8
15.5
14.6
3.9
3.5
24.2
29.0
6.0
4.7
23.6
19.4
19.2
11.0


238
15.1
22.6
14.5
16.2
15.8
15.0
4.0
3.6
24.6
29.3
6.2
4.8
23.9
19.6
19.6
11.3


240
15.4
22.9
14.8
16.5
16.2
15.4
4.1
3.7
24.9
29.6
6.4
4.9
24.2
19.8
20.0
11.6


242
15.7
23.1
15.1
16.8
16.6
15.8
4.2
3.8
25.2
29.9
6.6
5.0
24.4
20.1
20.4
12.0


244
16.0
23.4
15.4
17.1
16.9
16.2
4.3
3.9
25.5
30.2
6.9
5.1
24.7
20.3
20.8
12.3


246
16.2
23.7
15.7
17.4
17.3
16.5
4.4
4.0
25.8
30.5
7.1
5.2
24.9
20.5
21.2
12.6


248
16.5
24.0
16.0
17.6
17.6
16.9
4.5
4.1
26.0
30.7
7.3
5.3
25.2
20.7
21.5
13.0


250
16.8
24.3
16.3
17.9
17.9
17.2
4.6
4.1
26.3
30.9
7.5
5.4
25.4
20.9
21.9
13.3


Min
10.8
17.6
9.1
10.7
9.7
8.7
2.2
1.8
18.5
22.1
3.1
2.7
18.5
15.2
13.6
6.8


Max
16.8
24.3
16.3
17.9
17.9
17.2
4.6
4.1
26.3
30.9
7.5
5.4
25.4
20.9
21.9
13.3


σ
1.9
2.1
2.3
2.3
2.6
2.7
0.8
0.8
2.4
2.8
1.4
0.9
2.2
1.8
2.6
2.0



Y

13.6
20.8
12.6
14.3
13.7
12.8
3.3
2.9
22.5
26.9
5.1
4.0
22.0
18.1
17.5
9.8


{tilde over (Y)}
13.5
20.8
12.5
14.2
13.6
12.7
3.3
2.9
22.5
27.1
4.9
4.0
22.1
18.1
17.4
9.6





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]













TABLE 29







Trend Line Values |Y|ϕHHb ≥ UAna.






































Lim
Lim

















Sup
Inf



RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA
|Zona
|Zona


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R
Op|
Op|


























252
17.1
24.6
16.5
18.2
18.3
17.6
4.7
4.2
26.5
31.1
7.8
5.5
25.6
21.0
22.2
13.5


254
17.4
24.8
16.8
18.4
18.6
17.9
4.8
4.3
26.7
31.3
8.0
5.5
25.8
21.2
22.5
13.8


256
17.7
25.1
17.0
18.7
18.9
18.2
4.9
4.3
27.0
31.4
8.2
5.6
25.9
21.4
22.8
14.1


258
18.0
25.4
17.2
18.9
19.2
18.5
5.0
4.4
27.1
31.5
8.4
5.6
26.1
21.5
23.1
14.3


260
18.2
25.6
17.4
19.1
19.5
18.8
5.1
4.4
27.3
31.6
8.6
5.7
26.2
21.6
23.3
14.5


262
18.5
25.9
17.6
19.3
19.7
19.1
5.1
4.4
27.5
31.7
8.8
5.7
26.3
21.8
23.6
14.8


264
18.8
26.2
17.8
19.5
20.0
19.3
5.2
4.5
27.6
31.8
9.0
5.7
26.5
21.9
23.8
15.0


266
19.1
26.4
17.9
19.7
20.3
19.6
5.3
4.5
27.7
31.8
9.2
5.7
26.6
22.0
24.1
15.2


268
19.3
26.7
18.1
19.9
20.5
19.8
5.3
4.5
27.8
31.9
9.4
5.7
26.7
22.1
24.3
15.4


270
19.6
27.0
18.2
20.0
20.7
20.0
5.4
4.5
27.9
31.9
9.6
5.7
26.7
22.2
24.5
15.5


272
19.9
27.2
18.3
20.2
20.9
20.2
5.5
4.5
28.0
31.9
9.8
5.7
26.8
22.3
24.7
15.7


274
20.1
27.5
18.4
20.3
21.2
20.4
5.5
4.5
28.1
31.9
10.0
5.7
26.9
22.4
24.9
15.9


276
20.4
27.8
18.5
20.5
21.4
20.6
5.6
4.5
28.1
31.9
10.1
5.7
27.0
22.5
25.1
16.0


278
20.6
28.1
18.6
20.6
21.6
20.8
5.7
4.5
28.1
31.9
10.3
5.7
27.0
22.6
25.2
16.2


280
20.9
28.4
18.7
20.8
21.8
20.9
5.8
4.5
28.2
32.0
10.5
5.7
27.1
22.7
25.5
16.4


282
21.2
28.7
18.8
21.0
22.0
21.1
5.9
4.6
28.2
32.0
10.7
5.7
27.2
22.8
25.7
16.6


284
21.4
29.1
18.9
21.1
22.2
21.3
6.0
4.6
28.2
32.1
10.9
5.7
27.3
22.9
25.9
16.8


286
21.7
29.5
19.0
21.3
22.4
21.4
6.1
4.6
28.2
32.2
11.1
5.7
27.5
23.1
26.2
17.0


288
22.0
29.9
19.0
21.5
22.6
21.6
6.2
4.7
28.2
32.3
11.3
5.7
27.7
23.2
26.4
17.2


290
22.3
30.3
19.1
21.7
22.8
21.8
6.4
4.8
28.2
32.5
11.6
5.7
27.9
23.4
26.7
17.4


292
22.5
30.8
19.3
22.0
23.1
22.0
6.6
4.9
28.2
32.8
11.8
5.8
28.1
23.7
26.9
17.6


294
22.8
31.3
19.4
22.3
23.4
22.2
6.8
5.0
28.2
33.1
12.1
5.9
28.4
24.0
27.2
17.9


296
23.2
31.9
19.6
22.6
23.7
22.5
7.1
5.2
28.3
33.5
12.4
6.1
28.8
24.3
27.6
18.2


298
23.5
32.5
19.7
23.0
24.0
22.8
7.4
5.5
28.4
34.0
12.7
6.2
29.2
24.7
28.0
18.5


300
23.8
33.2
20.0
23.4
24.4
23.1
7.7
5.7
28.5
34.6
13.1
6.5
29.8
25.2
28.4
18.8


Min
17.1
24.6
16.5
18.2
18.3
17.6
4.7
4.2
26.5
31.1
7.8
5.5
25.6
21.0
22.2
13.5


Max
23.8
33.2
20.0
23.4
24.4
23.1
7.7
5.7
28.5
34.6
13.1
6.5
29.8
25.2
28.4
18.8


σ
2.0
2.5
0.9
1.4
1.7
1.6
0.8
0.4
0.5
0.8
1.5
0.2
1.1
1.1
1.8
1.5



Y

20.4
28.2
18.4
20.6
21.3
20.5
5.8
4.6
27.9
32.2
10.2
5.8
27.2
22.7
25.1
16.1


{tilde over (Y)}
20.4
27.8
18.5
20.5
21.4
20.6
5.6
4.5
28.1
31.9
10.1
5.7
27.0
22.5
25.1
16.0





[(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]










      • 1.17. In FIG. 52-100, the graphical representation of the calculated values corresponding to the slope of the trend line custom-character of |Y|SmO2%, |Y|O2HHb, |Y|ϕO2HHb, |Y|HHb, |Y|ϕHHb, |Y|ThB and |Y|ϕThB, of each TMM can be observed.

      • 1.18. In Table 30, the intensity ranges which produce the 1st, 2nd and 3rd General Change in the Slopes of the Trend Lines of custom-character|Y|SmO2%, custom-character|Y|O2HHb, custom-character|Y|ϕO2HHb, custom-character|Y|HHb, custom-character|Y|ϕHHb, custom-character|Y|ThB and custom-character|Y|ϕThB, of each TMM can be observed.
        • The 1st General Change custom-character is equals the Minimum Activation Threshold (UAmin), the 2nd General Change custom-character is equals the Aerobic Threshold (UAe) and the 3rd General Change custom-character is equals the Threshold Anaerobic (UANA), of each TMM.














TABLE 30







General changes in trend and physiological thresholds of each TMM.











1st Change (p)
2nd Change (p)
3rd Change (p)



UAmin Individual
UAe Individual
UAna Individual



Rango|X| (Watts)
Rango|X| (Watts)
Rango|X| (Watts)


TMM
|X| (Watts)
|X| (Watts)
|X| (Watts)





RF L
134 − 138
198 − 206
246 − 266



136
202
256


RF R
132 − 142
198 − 208
244 − 266



137
203
255


VL L
130 − 138
192 − 206
254 − 270



134
199
262


VL R
130 − 140
196 − 206
254 − 268



135
201
261


ST L
132 − 144
196 − 206
254 − 268



138
201
261


ST R
130 138
192 − 204
254 − 276



134
198
265


GM L
132 − 138
192 − 208
244 − 262



135
200
253


GM R
130 − 140
194 − 206
238 − 262



135
200
250


VI L
132 − 150
190 − 206
244 − 270



141
198
257


VI R
126 − 140
184 − 206
250 − 258



133
195
254


GA L
126 − 138
194 − 214
258 − 274



132
204
266


GA R
126 138
190 − 212
256 − 260



132
201
258


TA L
130 − 138
192 − 206
252 − 258



134
199
255


TA R
132 − 144
194 − 210
246 − 270



138
202
258













      • 1.19. In Table 31, the median values of all the general changes of custom-character of the set of TMSM that are equivalent to UAmin, UAe and UANA of the global locomotor system can be observed.














TABLE 31







General Change in Trend and Global Physiological Thresholds











1st General
2nd General
3rd General



Change (p)
Change (p)
Change (p)



UAmin
UAe
UAna





Rango |{tilde over (X)}|
130 − 138
192 − 206
252 − 268


(Watts)
136
201
258


|{tilde over (X)}| (Watts)









2. Analysis and Evaluation of Locomotor Performance Factors
A3. Factor Funcional por Inhibición Muscular de la Capacidad Oxidativa





    • In Table 9-11 and Table 18-23, the calculated value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of each TMM, in each INTTL greater than or equal to UAmin can be observed.

    • In Table 32-37, the results of the CSV of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of each TMM and his TMCM, in each INTTL greater than or equal to UAmin can be observed.

    • In Table 38, can be observed NSCSV equivalent to the value of CSV.

    • In Table 39, Table 40 and Table 41, the values of custom-character of custom-character|Y|SmO2%, custom-character|Y|O2HHb and custom-character|Y|ϕO2HHb, between each TMM and his TMCM can be observed.

    • In Table 42, the equivalence of custom-character with the NScoef-(p) of the general trend between each TMM and his TMCM can be observed.












TABLE 32







CSV of each TMM and hiss TMCM of |Y|SmO2% in each INTTL ≥ UAmin and < UAe






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R

















136
0.22
0.04
0.01
0.01
0.12
0.01
0.13


138
0.22
0.04
0.01
0.01
0.12
0.01
0.13


140
0.22
0.04
0.01
0.01
0.12
0.01
0.13


142
0.23
0.04
0.01
0.00
0.12
0.01
0.13


144
0.23
0.04
0.01
0.00
0.13
0.01
0.13


146
0.24
0.04
0.0
0.00
0.13
0.01
0.12


148
0.24
0.04
0.01
0.00
0.13
0.00
0.12


150
0.24
0.05
0.01
0.00
0.13
0.00
0.12


152
0.25
0.05
0.01
0.00
0.13
0.00
0.12


154
0.25
0.05
0.01
0.00
0.13
0.00
0.12


156
0.25
0.05
0.01
0.00
0.13
0.00
0.11


158
0.26
0.05
0.01
0.00
0.13
0.00
0.11


160
0.26
0.05
0.01
0.00
0.14
0.00
0.11


162
0.26
0.05
0.01
0.00
0.14
0.00
0.11


164
0.26
0.05
0.02
0.00
0.14
0.00
0.11


166
0.27
0.05
0.02
0.00
0.14
0.00
0.11


168
0.27
0.05
0.02
0.00
0.14
0.00
0.10


170
0.27
0.05
0.02
0.00
0.15
0.00
0.10


172
0.27
0.05
0.02
0.01
0.15
0.01
0.10


174
0.27
0.05
0.02
0.01
0.15
0.01
0.10


176
0.28
0.05
0.02
0.01
0.15
0.01
0.10


178
0.28
0.05
0.02
0.01
0.16
0.01
0.10


180
0.28
0.05
0.02
0.01
0.16
0.01
0.10


182
0.28
0.05
0.02
0.01
0.16
0.01
0.10


184
0.28
0.05
0.02
0.01
0.17
0.01
0.10


186
0.28
0.06
0.03
0.01
0.17
0.01
0.10


188
0.28
0.06
0.03
0.01
0.17
0.01
0.10


190
0.28
0.06
0.03
0.01
0.18
0.01
0.11


192
0.28
0.06
0.03
0.01
0.18
0.01
0.11


194
0.28
0.06
0.03
0.01
0.19
0.01
0.11


196
0.28
0.06
0.03
0.01
0.19
0.01
0.11


198
0.28
0.06
0.03
0.01
0.20
0.02
0.11


200
0.28
0.06
0.03
0.01
0.20
0.02
0.12
















TABLE 33







CSV of each TMM and hiss TMCM of |Y|SmO2% in each INTTL ≥ UAe and < UAna






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R

















202
0.28
0.06
0.03
0.01
0.21
0.02
0.12


204
0.28
0.06
0.03
0.01
0.22
0.02
0.12


206
0.28
0.05
0.03
0.01
0.22
0.02
0.12


208
0.28
0.05
0.03
0.01
0.23
0.02
0.13


210
0.27
0.05
0.03
0.01
0.24
0.02
0.13


212
0.27
0.05
0.03
0.01
0.24
0.02
0.13


214
0.27
0.05
0.03
0.01
0.25
0.02
0.14


216
0.27
0.05
0.03
0.01
0.26
0.03
0.14


218
0.27
0.05
0.03
0.01
0.26
0.03
0.14


220
0.27
0.05
0.03
0.01
0.27
0.03
0.15


222
0.27
0.05
0.03
0.01
0.28
0.03
0.15


224
0.27
0.05
0.03
0.01
0.29
0.03
0.15


226
0.27
0.05
0.03
0.01
0.29
0.03
0.16


228
0.27
0.05
0.03
0.01
0.30
0.03
0.16


230
0.27
0.05
0.03
0.01
0.31
0.03
0.16


232
0.27
0.05
0.03
0.01
0.31
0.04
0.17


234
0.27
0.05
0.03
0.01
0.32
0.04
0.17


236
0.27
0.05
0.03
0.01
0.33
0.04
0.17


238
0.27
0.06
0.03
0.01
0.33
0.04
0.17


240
0.27
0.06
0.03
0.01
0.34
0.04
0.18


242
0.27
0.06
0.03
0.01
0.34
0.04
0.18


244
0.27
0.06
0.02
0.01
0.35
0.05
0.18


246
0.28
0.06
0.02
0.01
0.35
0.05
0.18


248
0.28
0.06
0.02
0.01
0.36
0.05
0.18


250
0.28
0.06
0.02
0.01
0.36
0.05
0.18
















TABLE 34







CSV of each TMM and hiss TMCM of |Y|O2HHb in each INTTL ≥ UAmin and < UAe






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R

















136
0.239
0.040
0.000
0.009
0.136
0.035
0.103


138
0.243
0.041
0.000
0.009
0.136
0.035
0.103


140
0.247
0.042
0.001
0.009
0.136
0.034
0.102


142
0.250
0.044
0.001
0.009
0.136
0.033
0.101


144
0.253
0.045
0.002
0.008
0.136
0.033
0.100


146
0.256
0.046
0.003
0.008
0.135
0.032
0.099


148
0.258
0.047
0.004
0.008
0.134
0.031
0.098


150
0.261
0.047
0.005
0.008
0.133
0.030
0.097


152
0.263
0.048
0.006
0.007
0.132
0.029
0.095


154
0.264
0.049
0.007
0.007
0.131
0.028
0.094


156
0.266
0.049
0.008
0.006
0.130
0.027
0.092


158
0.267
0.050
0.009
0.006
0.130
0.026
0.091


160
0.268
0.050
0.011
0.006
0.129
0.025
0.089


162
0.268
0.051
0.012
0.005
0.129
0.024
0.088


164
0.269
0.051
0.013
0.005
0.128
0.024
0.087


166
0.269
0.051
0.014
0.005
0.129
0.023
0.086


168
0.269
0.051
0.016
0.004
0.129
0.022
0.084


170
0.269
0.051
0.017
0.004
0.130
0.022
0.083


172
0.269
0.051
0.018
0.004
0.131
0.021
0.082


174
0.269
0.051
0.019
0.003
0.132
0.020
0.081


176
0.269
0.051
0.020
0.003
0.134
0.020
0.081


178
0.269
0.051
0.021
0.003
0.137
0.020
0.080


180
0.268
0.051
0.022
0.003
0.139
0.019
0.080


182
0.268
0.051
0.023
0.003
0.143
0.019
0.079


184
0.267
0.051
0.024
0.002
0.147
0.019
0.079


186
0.267
0.050
0.025
0.002
0.151
0.019
0.079


188
0.267
0.050
0.025
0.002
0.156
0.020
0.079


190
0.266
0.050
0.026
0.002
0.161
0.020
0.080


192
0.266
0.050
0.026
0.002
0.167
0.020
0.080


194
0.266
0.050
0.027
0.002
0.173
0.021
0.081


196
0.265
0.049
0.027
0.002
0.180
0.022
0.082


198
0.265
0.049
0.027
0.002
0.188
0.023
0.083


200
0.265
0.049
0.027
0.003
0.196
0.024
0.084
















TABLE 35







CSV of each TMM and hiss TMCM of |Y|O2HHb in each INTTL ≥ UAe and < UAna






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R

















202
0.27
0.05
0.03
0.00
0.20
0.02
0.09


204
0.27
0.05
0.03
0.00
0.21
0.03
0.09


206
0.27
0.05
0.03
0.00
0.22
0.03
0.09


208
0.27
0.05
0.03
0.00
0.23
0.03
0.09


210
0.27
0.05
0.03
0.00
0.24
0.03
0.09


212
0.27
0.05
0.03
0.00
0.25
0.03
0.10


214
0.27
0.05
0.03
0.01
0.26
0.03
0.10


216
0.27
0.05
0.02
0.01
0.28
0.04
0.10


218
0.27
0.05
0.02
0.01
0.29
0.04
0.10


220
0.27
0.05
0.02
0.01
0.30
0.04
0.11


222
0.27
0.05
0.02
0.01
0.31
0.04
0.11


224
0.27
0.05
0.02
0.01
0.32
0.05
0.11


226
0.27
0.05
0.02
0.01
0.33
0.05
0.12


228
0.28
0.05
0.02
0.01
0.34
0.05
0.12


230
0.28
0.05
0.02
0.01
0.35
0.05
0.12


232
0.28
0.05
0.02
0.01
0.36
0.06
0.13


234
0.28
0.05
0.02
0.01
0.37
0.06
0.13


236
0.28
0.05
0.02
0.01
0.38
0.06
0.13


238
0.29
0.05
0.02
0.01
0.39
0.07
0.14


240
0.29
0.05
0.01
0.01
0.39
0.07
0.14


242
0.29
0.06
0.01
0.01
0.40
0.07
0.14


244
0.29
0.06
0.01
0.01
0.40
0.08
0.15


246
0.30
0.06
0.01
0.02
0.40
0.08
0.15


248
0.30
0.06
0.01
0.02
0.40
0.08
0.15


250
0.30
0.06
0.01
0.02
0.40
0.09
0.15
















TABLE 36







CSV of each TMM and hiss TMCM of |Y|ϕO2HHb in each INTTL ≥ UAmin and < UAe






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R

















136
0.237
0.038
0.004
0.003
0.123
0.033
0.102


138
0.241
0.039
0.004
0.003
0.125
0.032
0.102


140
0.245
0.040
0.004
0.004
0.126
0.032
0.101


142
0.248
0.041
0.005
0.004
0.128
0.032
0.100


144
0.251
0.042
0.005
0.005
0.129
0.031
0.099


146
0.254
0.043
0.006
0.005
0.131
0.031
0.098


148
0.257
0.044
0.006
0.006
0.132
0.030
0.097


150
0.259
0.045
0.007
0.006
0.133
0.030
0.096


152
0.261
0.046
0.008
0.007
0.135
0.029
0.095


154
0.263
0.047
0.008
0.007
0.136
0.029
0.093


156
0.265
0.048
0.009
0.008
0.138
0.028
0.092


158
0.266
0.048
0.010
0.008
0.139
0.028
0.091


160
0.268
0.049
0.011
0.009
0.141
0.027
0.090


162
0.269
0.050
0.011
0.009
0.142
0.027
0.089


164
0.269
0.050
0.012
0.009
0.144
0.026
0.087


166
0.270
0.051
0.013
0.010
0.146
0.026
0.086


168
0.271
0.051
0.014
0.010
0.148
0.025
0.086


170
0.271
0.052
0.014
0.010
0.150
0.025
0.085


172
0.271
0.052
0.015
0.010
0.153
0.025
0.084


174
0.272
0.052
0.016
0.010
0.155
0.024
0.084


176
0.272
0.053
0.017
0.010
0.158
0.024
0.083


178
0.272
0.053
0.017
0.010
0.161
0.024
0.083


180
0.272
0.053
0.018
0.010
0.164
0.024
0.083


182
0.272
0.053
0.018
0.010
0.168
0.024
0.083


184
0.272
0.053
0.019
0.010
0.171
0.024
0.083


186
0.272
0.053
0.019
0.010
0.175
0.024
0.083


188
0.272
0.053
0.020
0.009
0.179
0.024
0.083


190
0.271
0.053
0.020
0.009
0.184
0.024
0.084


192
0.271
0.053
0.021
0.009
0.188
0.024
0.085


194
0.271
0.053
0.021
0.008
0.193
0.025
0.085


196
0.271
0.053
0.021
0.008
0.198
0.025
0.086


198
0.271
0.053
0.022
0.008
0.203
0.026
0.088


200
0.271
0.053
0.022
0.007
0.209
0.026
0.089
















TABLE 37







CSV of each TMM and hiss TMCM of |Y|ϕO2HHb in each INTTL ≥ UAe and < UAna






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


Watts
L
R
L
R
L
R
L
R
L
R
L
R
L
R

















202
0.27
0.05
0.02
0.01
0.21
0.03
0.09


204
0.27
0.05
0.02
0.01
0.22
0.03
0.09


206
0.27
0.05
0.02
0.01
0.23
0.03
0.09


208
0.27
0.05
0.02
0.01
0.23
0.03
0.10


210
0.27
0.05
0.02
0.01
0.24
0.03
0.10


212
0.27
0.05
0.02
0.00
0.25
0.03
0.10


214
0.27
0.05
0.02
0.00
0.25
0.03
0.10


216
0.27
0.05
0.02
0.00
0.26
0.04
0.10


218
0.27
0.05
0.02
0.00
0.27
0.04
0.11


220
0.27
0.05
0.02
0.00
0.27
0.04
0.11


222
0.28
0.05
0.02
0.00
0.28
0.04
0.11


224
0.28
0.05
0.02
0.00
0.29
0.04
0.11


226
0.28
0.05
0.02
0.00
0.29
0.05
0.12


228
0.28
0.05
0.02
0.00
0.30
0.05
0.12


230
0.28
0.05
0.02
0.00
0.31
0.05
0.12


232
0.28
0.05
0.02
0.00
0.32
0.05
0.12


234
0.28
0.05
0.02
0.00
0.32
0.06
0.13


236
0.28
0.05
0.02
0.00
0.33
0.06
0.13


238
0.28
0.05
0.02
0.01
0.33
0.06
0.13


240
0.29
0.05
0.02
0.01
0.34
0.07
0.13


242
0.29
0.05
0.02
0.01
0.35
0.07
0.14


244
0.29
0.05
0.02
0.01
0.35
0.07
0.14


246
0.29
0.05
0.02
0.01
0.35
0.08
0.14


248
0.29
0.05
0.02
0.01
0.36
0.08
0.14


250
0.30
0.05
0.02
0.01
0.36
0.08
0.15
















TABLE 38







NSCSV equivalent to the values of CSV








Symmetry Level
CSV










(NSCSV)
SmO2%
O2HHb-HHb
ϕO2HHb-ϕHHb





Perfect
≤0.01
≤0.001
≤0.01













Optimum
>0.01
≤0.05
>0.001
≤0.005
>0.01
≤0.05


Minimal
>0.05
≤0.20
>0.005
≤0.02
>0.05
≤0.2










Asymmetry
>0.20
>0.02
>0.2











    • There is a Functional Factor Limitation due to Muscular Inhibition of Oxidative Capacity in the Left Rectus Femoris (RF L) because it meets the established criteria of Factor (A3) that can be determined:
      • 1) In Table 9 and Table 10, the minimum value of |Y|SmO2% of custom-character, is greater than 50% SmO2%, in the 100% of INTTL greater than or equal to UAe and less than UAna, can be observed
      • 2) In Table 34-37, the CSV of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of custom-character with respect to custom-character is asymmetric, in all INTTL greater than or equal to UAe and less than UAna can be observed.
      • 3) In Table 39, Table 40 and Table 41, the general trend custom-character|Y|SmO2%, custom-character|Y|O2HHb and custom-character|Y|ϕO2HHb is symmetric in the >70% of the TMSM with respect their TMSCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna) can be observed.












TABLE 39







Values of SmO2% of the R-INTTL (UAmin − UAe) and (UAe − UAna), Coef- custom-character   and


the equivalent symmetry level (NSCoef-(p))


















UAmin
UAe



UAe
UAna





TM
SmO2%
SmO2%
(p)
Coef- custom-character
Symmetry
SmO2%
SmO2%
(p)
Coef- custom-character
Symmetry




















RF L
72
68
−0.06
−0.018
Min
68
55
−0.26
−0.014
Min


RF R
53
46
−0.11


45
37
−0.18




VL L
76
70
−0.10
−0.002
Perf
69
56
−0.28
0.000
Perf


VL R
72
64
−0.12


64
51
−0.26




ST L
76
67
−0.13
−0.003
Perf
67
52
−0.32
−0.001
Perf


ST R
77
70
−0.10


70
53
−0.35




GM L
90
92
0.02
0.000
Perf
92
88
−0.07
−0.002
Perf


GM R
91
93
0.02


93
90
−0.06




VI L
54
43
−0.17
−0.004
Perf
42
31
−0.23
−0.003
Perf


VI R
45
32
−0.20


31
19
−0.26




GA L
88
85
−0.04
−0.002
Perf
85
82
−0.06
−0.195
Min


GA R
89
87
−0.02


87
89
0.02




TA L
46
44
−0.03
−0.009
Opt
44
35
−0.19
−0.006
Opt


TA R
56
52
−0.06


52
45
−0.14





Min: NS Minimum;


Opt: NS Optimal;


Perf: NS Perfect;


(Asi) NS Asymmetric













TABLE 40







Values of O2HHb of the R-INTTL (UAmin − UAe) and (UAe − UAna), Coef- custom-character   and the


equivalent symmetry level (NSCoef-(p))


















UAmin
UAe



UAe
UAna





TM
O2HHb
O2HHb
(p)
Coef- custom-character
Symmetry
O2HHb
O2HHb
(p)
Coef- custom-character
Symmetry




















RF L
9.2
8.7
−0.01
−0.0002
Perf
8.66
7.03
−0.03
−0.0004
Perf


RF R
6.6
6.0
−0.01


5.93
4.55
−0.03




VL L
9.1
8.5
−0.01
−0.0001
Perf
8.42
6.57
−0.04
0.0000
Perf


VL R
8.6
7.9
−0.01


7.86
6.04
−0.04




ST L
9.2
8.3
−0.01
−0.0012
Min
8.28
6.07
−0.05
−0.0002
Perf


ST R
9.2
8.7
−0.01


8.60
6.18
−0.05




GM L
10.9
11.1
0.00
0.0005
Opt
11.12
10.41
−0.01
−0.0007
Opt


GM R
11.1
11.2
0.00


11.17
10.67
−0.01




VI L
6.6
5.5
−0.02
−0.0002
Min
5.40
3.91
−0.03
−0.0008
Opt


VI R
5.5
4.1
−0.02


4.04
2.19
−0.04




GA L
10.0
10.8
0.01
0.0002
Min
10.79
9.08
−0.04
−0.0050
Asi


GA R
10.5
11.2
0.01


11.18
10.26
−0.02




TA L
5.9
5.8
0.00
−0.0014
Min
5.72
4.41
−0.03
−0.0010
Opt


TA R
6.8
6.5
0.00


6.46
5.49
−0.02





Min: NS Minimum;


Opt: NS Optimal;


Perf: NS Perfect;


(Asi) NS Asymmetric













TABLE 41







Values of ϕO2HHb of the R-INTTL (UAmin − UAe) and (UAe − UAna), Coef- custom-character   and


the equivalent symmetry level (NSCoef-(p))


















UAmin
UAe



UAe
UAna





TM
ϕO2HHb
ϕO2HHb
(p)
Coef- custom-character
Symmetry
ϕO2HHb
ϕO2HHb
(p)
Coef- custom-character
Symmetry




















RF L
19.2
22.1
0.05
0.010
Opt
22.15
21.03
−0.02
0.00
Opt


RF R
13.7
15.0
0.02


15.02
13.77
−0.03




VL L
19.1
21.6
0.04
0.001
Perf
21.62
19.66
−0.04
0.00
Opt


VL R
18.1
20.1
0.03


20.05
18.20
−0.04




ST L
19.2
21.1
0.03
0.001
Pef
21.09
18.22
−0.06
0.00
Perf


ST R
19.3
21.8
0.04


21.76
18.76
−0.06




GM L
22.7
28.6
0.09
0.000
Perf
28.79
30.82
0.04
0.00
Perf


GM R
22.8
28.9
0.09


29.07
31.31
0.05




VI L
13.7
14.1
0.01
−0.043
Asi
14.03
11.57
−0.05
0.00
Perf


VI R
11.6
10.5
−0.02


10.34
6.87
−0.07




GA L
20.9
27.5
0.10
0.000
Perf
27.63
27.28
−0.01
0.07
Opt


GA R
21.9
28.6
0.10


28.72
30.65
0.04




TA L
12.3
14.6
0.04
0.000
Perf
14.58
13.32
−0.03
−0.02
Perf


TA R
14.2
16.5
0.04


16.57
16.39
0.00





Min: NS Minimum;


Opt: NS Optimal;


Perf: NS Perfect;


(Asi) NS Asymmetric













TABLE 42







NSCoef-(p) equivalent to the values Coef- custom-character








Symemetry Level
Coef- custom-character










(NSCoef-(p))
SmO2%
O2HHb − HHb
ϕO2HHb − ϕHHb
















Perfect

≤0.01

≤0.001

≤0.01


Optimum
>0.01
≤0.05
>0.001
≤0.005
>0.01
≤0.05


Minimal
>0.05
≤0.15
>0.005
≤0.015
>0.05
≤0.15










Asymmetry
>0.15
>0.015
>0.15









A.4. Neuromuscular Factor of Oxidative Capacity (Intermuscular Coordination).





    • In Table 9-29, the calculated value and minimum value |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of all TMSM, in each INTIL greater than or equal to UAmin can be observed

    • In Table 32-37, the CSV between the value of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb, of each TMM and his TMCM, in each INTIL greater than or equal to UAmin and less than UAna can be observed.

    • In FIG. 52-100, custom-character calculated from |Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, of all TMSM, in each INTTL greater than or equal to UAe can be observed.

    • In Table 32-37, the values and NSCoef-(p) of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, between each TMM and his TMCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna) can be observed.

    • The TMSM (GM L, GM R, GA L and GA R) present a Limitation of the Neuromuscular Factor of Oxidative Capacity by meeting the criteria of Factor (A.4) that can be established:

    • 1) In Table 9 and 10, the calculated values of |Y|SmO2% of (custom-character and custom-character R) are ≥65% SmO2%, in each INTTL greater than or equal to UAmin and less than UAna can be observed.

    • 2) In Table 32-37, the general trend of custom-character|Y|SmO2%, custom-character|Y|ϕO2HHb and custom-character|Y|O2HHb, of each TMM and his TMCM is symmetrically optimal, in more than 70% of TMSM and their TMSCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna) can be observed.

    • 3) In Table 9-11 and Table 18-23, the calculated values of Y SmO2%, |Y|ϕO2HHb and |Y|O2HHb of (custom-character and custom-characterR) are greater than the values of |Y|SmO2%, |Y|ϕO2HHb and |Y|O2HHb, of the other TMSM, in all INTTL greater than or equal to UAmin can be observed.

    • 4) In Table 9-11, the calculated values of |Y|SmO2% of the TMSM, in more than 60% of the TMSM (custom-charactercustom-character), present values ≤45% SmO2%, in at least one INTTL greater than or equal to UAe can be observed.





B2.1. Performance Factor of Analytical Delivery of Blood Flow During Exercise





    • In Table 9-11 and Table 18-23, the calculated values of |Y|SmO2%, |Y|O2HHb and |Y|ϕO2HHb of each TMM, in each INTTL greater than or equal to UAmin can be observed.

    • In Table 9-11 and Table 18-23, the calculated values of SmO2%, O2HHb and ϕO2HHb, of the Upper Limit of the Optimal Zone |custom-character|custom-character, in each INTTL greater than or equal to UAmin can be observed.

    • In Table 9-11 and Table 18-23, the calculated values of SmO2%, O2HHb and ϕO2HHb, of the Lower Limit of the Optimal Zone |custom-character|custom-character, in each INTTL greater than or equal to UAmin can be observed.

    • In Table 43, the type of Analytical Muscular Blood Flow Composition of each TMM, established from the criteria of Factor (B2.1) can be observed.

    • In Table 43, the type of Hemoglobin Delivery Volume of each TMM, established from the criteria of Factor (B2.2) can be observed.

    • In Table 43, the type of Blood Flow Delivery Rate of each TMM, established from the criteria of Factor (B2.3) can be observed.












TABLE 43







Type of Performance of each TMM of factors (B2.1), (B2.2) and


(B2.3), in each R-INTTL.













Flow
Delivery



TM
Rank intensity
Composition
Volume
Delivery rate





RF L
UAmin − UAe
Optimal
Optimal
Optimal



UAe − UAna






>UAna





RF R
UAmin − UAe
Lesser
Lesser
Lesser



UAe − UAna






>UAna





VL L
UAmin − UAe
Optimal
Optimal
Optimal



UAe − UAna






>UAna





VL R
UAmin − UAe
Optimal
Optimal
Optimal



UAe − UAna






>UAna





ST L
UAmin − UAe
Optimal
Optimal
Optimal



UAe − UAna






>UAna





ST R
UAmin − UAe
Optimal
Optimal
Optimal



UAe − UAna






>UAna





GM L
UAmin − UAe
Excessive
Lesser
Lesser



UAe − UAna






>UAna





GM R
UAmin − UAe
Excessive
Lesser
Lesser



UAe − UAna






>UAna





VI L
UAmin − UAe
Lesser
Lesser
Lesser



UAe − UAna






>UAna





VI R
UAmin − UAe
Lesser
Lesser
Lesser



>UAna






UAe − UAna
Inefficient




GAL
UAmin − UAe
Excessive
Lesser
Lesser



>UAna






UAe − UAna
Higher




GA R
UAmin − UAe
Excessive
Lesser
Lesser



UAe − UAna






>UAna





TA L
UAmin − UAe
Lesser
Lesser
Lesser



UAe − UAna






>UAna





TA R
UAmin − UAe
Lesser
Lesser
Lesser



>UAna






UAe − UAna
Optimal
Optimal
Optimal









B2.2. Functional Sympatholysis Factor of Blood Flow Redistribution





    • In Table 44-46, the maximum values of SmO2%, O2HHb and ϕO2HHb of each MM, in each of the rest intervals (ID) performed can be observed.

    • In Table 47, the highest level of symmetry (NSCSV) calculated between the combination of >70% of the maximum values of SmO2%, O2HHb and ϕO2HHb, of each ID after a work interval (IT) of average INTTL greater than or equal to UAmin can be observed.












TABLE 44







Maximum values of SmO2%, in each ID of each TMM






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


ID
L
R
L
R
L
R
L
R
L
R
L
R
L
R





01
76
78
83
79
83
87
89
94
69
71
80
87
56
59


02
83
69
82
81
82
86
90
89
66
71
86
87
68
64


03
85
62
83
79
82
86
91
89
67
74
89
91
59
65


04
81
64
84
78
83
81
90
90
67
71
89
91
79
65


05
79
61
86
82
85
83
92
92
72
69
92
92
67
62


06
85
61
85
82
86
85
93
93
74
70
92
92
63
64


07
87
81
89
88
90
87
94
95
81
81
92
93
80
74


08
87
76
89
88
90
87
94
95
82
79
93
93
72
73


09
85
84
87
85
89
89
94
95
78
73
93
92
71
79


10
88
81
87
84
88
87
94
95
75
77
93
92
70
78


11
85
66
86
83
87
86
94
94
74
75
92
92
64
71


12
83
61
84
83
85
85
94
94
78
74
92
92
61
70


13
81
69
84
81
84
83
93
94
79
75
92
92
63
65


14
80
67
86
82
83
82
92
93
84
79
92
92
61
66


15
76
57
86
83
79
77
92
92
84
78
90
90
55
60
















TABLE 45







Maximum values of O2HHb, in each ID of each TMM






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


ID
L
R
L
R
L
R
L
R
L
R
L
R
L
R
























01
9.7
9.8
10.3
9.7
10.2
11.0
10.6
11.2
8.8
9.0
9.5
10.7
7.3
7.4


02
10.7
8.6
10.1
9.9
10.1
10.8
11.0
11.1
8.4
8.9
10.4
10.8
8.8
8.1


03
11.0
7.8
10.3
9.7
10.1
10.8
11.2
11.3
8.5
9.1
10.8
11.5
7.6
8.2


04
10.4
8.0
10.4
9.6
10.3
10.0
11.1
11.3
8.5
8.7
10.8
11.5
10.2
8.1


05
10.2
7.7
10.7
10.1
10.6
10.2
11.4
11.6
9.2
8.6
11.3
11.7
8.6
7.8


06
11.1
7.7
10.6
10.1
10.7
10.5
11.6
11.9
9.4
8.7
11.2
11.7
8.1
8.0


07
11.3
10.2
11.2
11.0
11.4
10.7
11.8
11.9
10.2
10.2
11.3
11.8
10.4
9.3


08
11.3
9.6
11.1
11.0
11.3
10.8
11.5
11.8
10.4
10.0
11.4
11.8
9.3
9.1


09
11.0
10.7
10.8
10.5
11.2
11.0
11.6
11.7
9.9
9.0
11.4
11.7
9.1
9.9


10
11.5
10.2
10.8
10.4
11.1
10.7
11.6
11.7
9.5
9.5
11.4
11.7
9.0
9.8


11
11.0
8.3
10.6
10.2
10.9
10.6
11.6
11.6
9.4
9.2
11.3
11.7
8.2
8.8


12
10.7
7.7
10.4
10.2
10.6
10.5
11.5
11.6
10.0
9.2
11.3
11.7
7.9
8.7


13
10.5
8.7
10.4
10.0
10.4
10.2
11.4
11.6
10.2
9.3
11.3
11.7
8.1
8.1


14
10.3
8.4
10.8
10.2
10.3
10.0
11.3
11.5
10.9
9.9
11.3
11.6
7.8
8.2


15
9.8
7.2
10.7
10.4
9.7
9.5
11.2
11.3
10.8
9.8
10.9
11.4
7.1
7.5
















TABLE 46







Maximum values of ϕO2HHb, in each ID of each TMM






















RF
RF
VL
VL
ST
ST
GM
GM
VI
VI
GA
GA
TA
TA


ID
L
R
L
R
L
R
L
R
L
R
L
R
L
R
























01
18.4
16.9
20.1
19.1
19.1
21.6
20.8
22.1
17.0
16.4
18.6
21.3
13.7
13.7


02
20.4
16.5
20.6
20.2
20.4
22.1
23.4
24.3
16.9
18.4
20.5
23.1
17.8
16.5


03
21.0
15.9
21.2
19.9
20.5
20.9
23.6
23.9
17.0
18.6
22.9
24.4
14.0
14.4


04
21.6
14.8
21.7
20.3
20.8
19.9
24.3
25.0
17.4
16.5
23.1
24.9
18.9
16.4


05
21.0
15.4
21.0
20.1
20.5
20.5
24.0
24.8
17.5
16.5
23.2
24.4
15.2
15.5


06
21.8
14.6
21.4
20.6
21.0
20.9
24.6
25.6
17.8
16.7
23.8
25.4
15.7
17.3


07
22.0
17.3
22.6
21.1
21.5
20.2
25.3
26.1
18.5
19.1
24.1
25.7
19.5
17.6


08
20.9
17.7
20.8
20.4
20.9
20.9
23.3
23.7
16.6
16.7
22.5
23.2
16.1
18.3


09
21.2
19.1
21.7
21.3
21.6
21.5
24.4
24.6
17.2
16.3
23.5
24.6
16.3
17.8


10
22.2
19.6
23.1
22.2
22.9
22.2
26.1
26.5
20.2
20.2
24.7
26.0
17.3
18.5


11
22.2
16.7
24.2
22.9
22.6
22.9
27.5
27.9
20.6
20.0
26.3
27.8
15.3
16.9


12
24.3
16.9
24.8
23.1
22.6
22.8
29.5
29.6
22.5
18.9
28.0
29.8
16.9
19.8


13
23.4
18.8
26.9
24.6
23.3
23.9
31.0
31.5
25.1
20.7
29.2
31.8
16.8
18.1


14
23.7
18.1
28.5
26.3
23.2
23.7
31.6
32.1
28.0
22.9
30.0
32.2
16.9
18.9


15
22.8
17.4
28.2
28.7
22.1
22.1
31.6
32.6
27.1
24.6
28.9
31.5
16.6
18.4











    • In Table 47, the CSV values of the 100% of TMSM and 71% of TMSM with higher NSCSV, in addition to the type of performance of Factor (B2.2) that the cardiovascular system performs in each IT can be observed.












TABLE 47







CSV and Performance of Factor B2.2 in each IT





















Type of











CSV with 100% TMM
CSV with 71% TMM
  Sympatholytic














ID
  SmO2
  O2HHb
  O2HHb
  SmO2
  O2HHb
  O2HHb
Performance

















02
0.12
0.11
0.13
0.06
0.06
0.08
Asymmetric


03
0.14
0.14
0.17
0.07
0.07
0.09
Asymmetric


04
0.12
0.12
0.16
0.08
0.08
0.12
Asymmetric


05
0.14
0.14
0.17
0.09
0.09
0.12
Asymmetric


06
0.15
0.14
0.18
0.08
0.09
0.12
Asymmetric


07
0.07
0.07
0.14
0.05
0.05
0.11
Asymmetric


10
0.09
0.09
0.13
0.06
0.06
0.09
Asymmetric


11
0.13
0.12
0.19
0.07
0.07
0.11
Asymmetric


12
0.14
0.13
0.19
0.07
0.07
0.15
Asymmetric


13
0.13
0.12
0.20
0.07
0.07
0.15
Asymmetric


14
0.13
0.12
0.20
0.07
0.06
0.14
Asymmetric


15
0.16
0.15
0.21
0.08
0.07
0.15
Asymmetric









B2.3. Evolution Factor of Analytical Cardiovascular Performance





    • In Table 44-46, the calculated maximum value of SmO2% in each ID, of each TMM can be observed.

    • In Table 48, the difference calculated between the maximum values of SmO2%, between the successive ID, of each TMM can be observed.

    • In Table 48, the type of Evolution of Delivery of Oxygen-Loaded Blood established in each TMM analyzed, between each of the successive rest intervals based on the criteria established by Factor (B2.3) can be observed:












TABLE 48







Difference of SmO2% of each TMM between ID









REST INTERVAL





















ID
1-2
2-3
3-4
4-5
5-6
6-7
7-8
8-9
9-10
10-11
11-12
12-13
13-14
14-15
























RF L
−7
−2
4
2
−6
−2
0
2
−3
3
2
2
1
4



DS
M
AL
M
DS
M
M
M
DL
AL
M
M
M
AL


RF R
9
7
−2
3
0
−20
5
−8
3
15
5
−8
2
10



AS
AS
M
AL
M
DS
AL
DS
AL
AS
AL
DS
M
AS


VL L
1
−1
−1
−2
1
−4
0
2
0
1
2
0
−2
1



M
M
M
M
M
DL
M
M
M
M
M
M
M
M


VL R
−2
2
1
−4
0
−6
0
3
1
2
−1
2
−1
−1



M
M
M
DL
M
DS
M
AL
M
M
M
M
M
M


ST L
1
0
−1
−2
−1
−4
0
1
1
1
2
1
1
4



M
M
M
M
M
DL
M
M
M
M
M
M
M
AL


ST R
1
0
5
−2
−2
−2
0
−2
2
1
1
2
1
5



M
M
AL
M
M
M
M
M
M
M
M
M
M
AL


GM L
−1
−1
1
−2
−1
−1
0
0
0
0
0
1
1
0



M
M
M
M
M
M
M
M
M
M
M
M
M
M


GM R
5
0
−1
−2
−1
−2
0
0
0
1
0
0
1
1



AL
M
M
M
M
M
M
M
M
M
M
M
M
M


VI L
3
−1
0
−5
−2
−7
−1
4
3
1
−4
−1
−5
0



AL
M
M
DL
M
DS
M
AL
AL
M
DL
M
DL
M


VI R
0
−3
3
2
−1
−11
2
6
−4
2
1
−1
−4
1



M
DL
AL
M
M
DS
M
AS
DL
M
M
M
DL
M


GA L
−6
−3
0
−3
0
0
−1
0
0
1
0
0
0
2



DS
DL
M
DL
M
M
M
M
M
M
M
M
M
M


GA R
0
−4
0
−1
0
−1
0
1
0
0
0
0
0
2



M
DL
M
M
M
M
M
M
M
M
M
M
M
M


TA L
−12
9
−20
13
4
−17
8
1
1
6
3
−2
2
6



DS
AS
DS
AS
AL
DS
AS
M
M
AS
AL
M
M
AS


TA R
−5
−1
0
3
−2
−10
1
−6
1
7
1
5
−1
6



DL
M
M
AL
M
DS
M
DS
M
AS
M
AL
M
AS





(AS) Significant increase;


(AL) Slight Increase;


(DL) Slight Decrease;


(DS) Significant decrease;


(M) Maintenance






B2.4. Muscle Blood Flow Pump Factor—Venous Return





    • In Table 49, the calculated values of |Y|ThB, in each of the Thresholds and in the maximum intensity recorded, of each TMM can be observed.

    • In Table 49, the values of custom-character ThB of each TMM, between in the R-INTTL (UAe−UAna) and (UAe−UAna−IntMax) can be observed.

    • In Table 49 and Table 11, the minimum calculated values of SmO2% of each TMM can be observed.

    • In Table 49, the TMM that present a Limitation in the Performance Factor of the Muscle Pumping Factor for Venous Return by meeting the criteria of the Factor (B2.4) that can be observed:
      • The general trend of custom-character ThB of TMM is [custom-character>0.0005] in one of the two R-INTTL(UAe−UAna) and/or (UAe−UAna−IntMax).
      • The values of SmO2% of the TMM analyzed decrease to values <50% SmO2% during R-INTTL greater than or equal to UAe












TABLE 49







Values of ThB in each Threshold and of each TMM,  custom-character   between each


threshold and the minimum value of SmO2%

















Rank  custom-character   ThB
Min
















UAe
UAna
IntWork
UAe − UAna
>UAna
|{tilde over (Y)}|SmO2%
Factor B2.4

















RF L
12.81
12.76
12.77
−0.0009
0.0003
40



RF R
12.72
12.77
12.94
0.0008*
0.0035*
20
Limitation in >UAe


VL L
12.01
12.01
12.04
0.0000
0.0007*
46
Limitation in >UAna


VL R
12.07
12.04
12.15
−0.0007
0.0022*
38
Limitation in >UAna


ST L
12.10
12.06
12.23
−0.0008
0.0035*
33
Limitation in >UAna


ST R
11.96
12.03
12.11
0.0014*
0.0017*
38
Limitation in >UAe


GM L
12.14
11.85
11.70
−0.0057
−0.0031
79



GM R
12.13
11.85
11.75
−0.0057
−0.0020
84



VI L
12.66
12.72
12.75
0.0011*
0.0006*
28
Limitation in >UAe


VI R
12.60
12.67
12.70
0.0015*
0.0006*
16
Limitation in >UAe


GA L
11.93
11.71
11.55
−0.0044
−0.0033
55



GA R
12.27
12.08
11.67
−0.0040
−0.0082
79



TA L
12.91
12.95
12.98
0.0008*
0.0006*
26
Limitation in >UAe


TA R
12.43
12.47
12.53
0.0009*
0.0012*
38
Limitation in >UAe









B3. Neurovascular System
B3.1. Neuromuscular Activation Factor (Intermuscular Coordination)





    • In Table 50, the calculated median values of de |{tilde over (Y)}|SmO2%, |{tilde over (Y)}|O2HHb, |{tilde over (Y)}|ϕO2HHb, of each TMM, in each R-INTTL can be observed.

    • In Table 9-11 and Table 18-23, the median calculated values of |{tilde over (Y)}|SmO2%, |{tilde over (Y)}|O2HHb, |{tilde over (Y)}|ϕO2HHb, of the Upper Limit of the Optimal Zone (|custom-character|custom-character) and the Lower Limit of the Optimal Zone (|custom-character|custom-character) can be observed.

    • In Table 50, the Type of Neuromuscular Activation Factor performed by each TMM, in each R-INTTL, based on the criteria established in Factor (B3.1) can be observed:












TABLE 50







Values of |{tilde over (Y)}|SmO2%, |{tilde over (Y)}|O2HHb, |{tilde over (Y)}|ϕO2HHb, of each TMM, in each R-INTTL


and the performance of Factor (B3.1)









Range



















Activation


Activation


Activation














UAmin − UAe
Level
UAe − UAna
Level
>UAna
Level




















|{tilde over (Y)}|
|{tilde over (Y)}|
|{tilde over (Y)}|
Factor
|{tilde over (Y)}|
|{tilde over (Y)}|
|{tilde over (Y)}|
Factor
|{tilde over (Y)}|
|{tilde over (Y)}|
|{tilde over (Y)}|
Factor


TMM
SmO2%
O2HHb
ϕO2HHb
B3.1
SmO2%
O2HHb
ϕO2HHb
B3.1
SmO2%
O2HHb
ϕO2HHb
B3.1





RF L
71
9.0
20.9
Opt
62
7.9
21.9
Opt
49
6.2
19.4
Opt


RF R
48
6.1
14.2
D
42
5.4
14.7
D
29
3.8
11.9
A


VL L
74
9.0
20.7
Opt
63
7.5
21.0
Opt
50
6.0
18.4
Opt


VL R
69
8.3
19.2
Opt
58
7.0
19.5
Opt
44
5.4
16.6
Opt


ST L
73
8.9
20.6
Opt
60
7.3
20.1
Opt
20
5.1
16.0
Opt


ST R
75
9.1
21.0
Opt
63
7.5
20.7
Opt
44
5.4
16.7
Opt


GM L
91
11.1
25.7
Exc
91
10.8
30.1
Exc
84
10.0
30.8
Exc


GM R
92
11.2
26.1
Exc
92
10.9
30.3
Exc
87
10.3
31.8
Exc


VI L
48
6.1
14.1

37
4.6
12.9
D
28
3.6
11.3
D


VI R
39
5.1
11.4
Ex
24
2.9
8.4
Ex
17
2.3
 6.8
Ex


GA L
87
10.6
24.3
N
85
10.1
28.0
N
72
8.4
25.6
Men


GA R
88
10.9
25.2
N
89
10.8
30.1
N
83
10.1
30.8
N


TA L
46
5.9
13.7
A
39
5.1
14.0
D
32
4.2
12.9
D


TA R
53
6.7
15.5
D
49
6.0
16.6
D
41
5.2
16.1
Opt







Optimal Zone Limits



















| custom-character  |
81
10.0
23.1

72
8.6
23.9

56
6.7
20.6



| custom-character  |
63
7.9
18.2

50
6.1
16.9

33
4.1
12.7









B.3.2. Neurovascular Structural Factor (Speed and Power of Muscle Contraction)





    • In Table 51, the median values and standard deviation (σ) of ThB of (custom-character and custom-character), in each work interval (IT) can be observed.

    • In Table 51, the minimum value of ThB of (custom-character and custom-character), in each of the rest intervals (ID), the average work intensity, the average pedalling cadence and the average HR of the previous IT can be observed.

    • In Table 51, the calculation of the [(custom-character)−(σ)], of each IT can be observed.

    • There is a Limitation in the Neurovascular Structural Factor of the (custom-character and custom-character) during each of the work intervals, of average intensity greater than or equal to UAmin, followed by one ID, when complying the criteria established for Factor (B3.2) that can be observed












TABLE 51







Analysis values for Performance of Factor (B3.2)

















RF R
VI R
TA L
























ThB

ThB

ThB

POWER
CADENCE
HR
Intensity


Interval

(g/dL)
σ
(g/dL)
σ
(g/dL)
σ
Watts
Rpm
ppm
range





















T 02
|{tilde over (Y)}|ThB
12.68
0.073
12.60
0.035
12.97
0.040
148
34
127
>UAmin



|{tilde over (Y)}| − σ
12.61

12.65

12.93




<UAe


D 02
ThBmin
12.57

12.44

12.85







T 03
|{tilde over (Y)}|ThB
12.60
0.030
12.50
0.016
12.93
0.023
150
66
122
>UAmin



|{tilde over (Y)}| − σ
12.57

12.57

12.85




<UAE


D 03
ThBmin
12.59

12.18

12.85







T 04
|{tilde over (Y)}|ThB
12.67
0.043
12.58
0.015
12.93
0.028
148
84
126
>UAmin



|{tilde over (Y)}| − σ
12.63

12.60

12.90




<UAe


D 04
ThBmin
12.58

12.07

12.83







T 05
|{tilde over (Y)}|ThB
12.64
0.023
12.58
0.013
12.92
0.027
148
73
124
>UAmin



|{tilde over (Y)}| − σ
12.61

12.62

12.89




<UAe


D 05
ThBmin
12.57

12.32

12.83







T 06
|{tilde over (Y)}|ThB
12.67
0.034
12.54
0.016
12.89
0.021
149
82
127
>UAmin



|{tilde over (Y)}| − σ
12.64

12.60

12.86




<UAe


D 06
ThBmin
12.59

12.28

12.84







T 07
|{tilde over (Y)}|ThB
12.64
0.037
12.56
0.015
12.90
0.019
149
78
126
>UAmin



|{tilde over (Y)}| − σ
12.60

12.61

12.88




<UAe


D 07
ThBmin
12.49

12.20

12.80







T 10
|{tilde over (Y)}|ThB
12.64
0.031
12.61
0.017
12.92
0.025
148
78
131
>UAmin



|{tilde over (Y)}| − σ
12.61

12.48

12.89




<UAe


D 10
ThBmin
12.54

12.14

12.85







T 11
|{tilde over (Y)}|ThB
12.68
0.038
12.66
0.014
12.93
0.024
173
77
137
>UAmin



|{tilde over (Y)}| − σ
12.64

12.51

12.90




<UAe


D 11
ThBmin
12.60

12.14

12.86







T 12
|{tilde over (Y)}|ThB
12.69
0.040
12.68
0.030
12.92
0.018
195
77
148
>UAe



|{tilde over (Y)}| − σ
12.65

12.53

12.90




<UAna


D 12
ThBmin
12.62

12.28

12.83







T 13
|{tilde over (Y)}|ThB
12.74
0.053
12.68
0.016
12.92
0.026
212
78
159
>UAe



|{tilde over (Y)}| − σ
12.69

12.64

12.89




<UAna


D 13
ThBmin
12.63

12.31

12.85







T 14
|{tilde over (Y)}|ThB
12.78
0.053
12.71
0.021
12.95
0.032
245
79
169
>UAna



|{tilde over (Y)}| − σ
12.73

12.64

12.92







D 14
ThBmin
12.64

12.25

12.86







T 15
|{tilde over (Y)}|ThB
12.81
0.037
12.73
0.024
12.94
0.024
268
79
179
>UAna



|{tilde over (Y)}| − σ
12.77

12.66

12.92







D 15
ThBmin
12.68

12.28

12.88









B3.3. Optimal Muscle Contraction Speed





    • In Table 52, the median values of SmO2%, O2HHb, ϕO2HHb, HHb and ϕHHb of each TMM, in each muscle contraction frequency range (R-FCM), in the R-INTTL of 140-160 w can be observed.

    • In Table 52, the difference in the median value of SmO2%, O2HHb, ϕO2HHb, HHb and ϕHHb of each TMM, of each R-FCM, with respect to the highest value of SmO2%, O2HHb, ϕO2HHb, HHb and ϕHHb, of all R-FCM can be observed.

    • In Table 52, the difference in the median value of HHb and ϕHHb of each TMM, of each R-FCM, with respect to the lowest value of HHb and ϕHHb, of all R-FCM can be observed.

    • The following R-FCM are optimal because meeting the criteria established for Factor (B3.3) that can be established:
      • R-FCM Optimal: 79-80 Rpm
      • R-FCM Optimal: 81-82 Rpm












TABLE 52







Median value of SmO2%, O2HHb, ϕO2HHb, HHb and ϕHHb, of each R-FCM,


of each TMM, in the R-INTTL of 140-160 w.





















Rango
RF
RF
VL
VL
SM
SM
GM
GM
VI
VI
GA
GA
TA
TA


FCM
L
R
L
R
I
D
L
R
L
R
L
R
L
R












SmO2%





















71-72
72
50
73
70
70
77
88
88
51
44
84
85
48
52



−1.5
−3.0
−4.0
−2.0
−7.0
0.0
−4.0
−6.0
−1.0
0.0
−5.0
−5.0
−1.0
−4.0


73-74
72
51
74
70
74
76
89
90
50
44
87
88
48
54



−1.5
−2.0
−3.0
−2.0
−3.0
−1.0
−3.0
−4.0
−2.0
0.0
−2.0
−2.0
−1.0
−2.0


75-76
72
52
74
70
75
75
89
90
51
44
88
88
47
54



−1.0
−1.5
−3.0
−2.0
−2.0
−1.8
−3.0
−4.0
−1.0
0.0
−1.0
−2.0
−2.0
−1.8


77-78
72
52
74
71
75
76
89
90
50
44
88
89
48
56



−1.0
−1.0
−3.0
−1.0
−2.0
−1.0
−3.0
−4.0
−2.0
0.0
−1.0
−1.0
−1.0
0.0


79-80
73
53
76
72
77
76
91
93
52
43
88
90
47
56



0.0
0.0
−1.0
0.0
0.0
−1.0
−1.0
−1.0
0.0
−1.0
−1.0
0.0
−1.8
0.0


81-82
72
52
77
72
77
77
92
94
51
43
88
90
48
56



−1.0
−1.0
0.0
0.0
0.0
0.0
0.0
0.0
−1.0
−1.0
−1.0
0.0
−1.5
0.0


83-84
72
50
74
71
76
75
90
91
49
43
88
89
48
55



−1.0
−3.5
−3.0
−1.5
−1.0
−2.5
−2.0
−3.0
−3.0
−1.0
−1.0
−1.0
−1.0
−1.0


85-86
72
49
74
70
77
74
90
91
50
43
89
89
49
55



−1.0
−4.0
−3.0
−2.0
−0.5
−3.0
−2.0
−3.0
−2.5
−1.0
0.0
−1.0
0.0
−1.3


87-88
72
48
74
70
73
73
88
90
50
43
86
88
48
54



−1.0
−5.5
−3.5
−2.0
−4.0
−4.0
−4.0
−4.5
−2.0
−1.5
−3.0
−2.0
−1.0
−2.0


89-90
71
48
73
68
72
72
−4.0
89
49
41
84
86
47
54



−2.5
−5.0
−4.0
−4.0
−5.0
−5.0
88
−5.0
−3.0
−3.0
−5.0
−4.0
−2.5
−2.0


91-92
71
49
73
68
72
72
88
89
49
42
84
36
45
53



−2.0
−4.0
−4.0
−4.0
−5.0
−5.0
−4.0
−5.0
−3.0
−2.0
−5.5
−4.0
−3.8
−3.0


93-94
71
50
72
67
71
73
88
88
50
44
82
84
47
53



−2.0
−3.0
−5.0
−5.0
−6.0
−4.0
−4.0
−6.0
−2.0
0.0
−7.0
−6.0
−2.5
−3.0


95-96
69
49
69
66
67
77
85
88
50
44
71
82
45
51



−4.0
−4.0
−8.0
−6.0
−10
0.0
−7.0
−6.0
−2.0
0.0
−18
−8.0
−3.8
−5.0









O2HHb





















71-72
9.2
6.0
8.8
8.5
8.5
9.2
10.7
10.8
6.4
5.0
9.9
10.2
6.2
6.5



−0.2
−0.7
−0.4
−0.3
−0.9
−0.1
−0.5
−0.6
−0.1
−0.6
−0.7
−0.8
−0.1
−0.5


73-74
9.2
6.1
9.0
8.5
9.0
9.2
10.9
11.1
6.3
5.6
10.3
10.7
6.2
6.7



−0.2
−0.6
−0.3
−0.3
−0.4
−0.1
−0.3
−0.4
−0.2
0.0
−0.3
−0.4
−0.1
−0.2


75-76
9.2
6.5
9.0
8.5
9.1
9.1
10.9
11.1
6.4
5.5
10.5
10.8
6.1
6.8



−0.1
−0.2
−0.3
−0.2
−0.3
−0.2
−0.3
−0.4
−0.1
0.0
−0.1
−0.3
−0.2
−0.2


77-78
9.2
6.6
9.0
8.6
9.2
9.1
10.9
11.2
6.3
5.6
10.5
10.9
6.2
6.9



−0.1
−0.1
−0.3
−0.1
−0.3
−0.1
−0.3
−0.3
−0.2
0.0
−0.1
−0.1
−0.1
0.0


79-80
9.4
6.7
9.2
8.7
9.4
9.2
11.1
11.4
6.5
5.4
10.5
11.1
6.1
6.9



0.0
0.0
−0.1
0.0
0.0
−0.1
−0.1
0.0
0.0
−0.2
−0.1
0.0
−0.2
0.0


81-82
9.3
6.6
9.3
8.7
9.4
9.3
11.2
11.4
6.4
5.3
10.5
11.1
6.1
6.9



−0.1
−0.1
0.0
0.0
0.0
0.0
0.0
0.0
−0.1
−0.3
−0.1
0.0
−0.2
0.0


83-84
9.2
6.3
9.0
8.5
9.3
9.0
11.0
11.3
6.2
5.4
10.5
10.9
6.2
6.8



−0.1
−0.4
−0.3
−0.2
−0.1
−0.3
−0.2
−0.2
−0.4
−0.1
−0.1
−0.1
−0.1
−0.1


85-86
9.2
6.2
8.9
8.5
9.3
8.9
11.0
11.2
6.2
5.4
10.6
10.9
6.3
6.8



−0.1
−0.5
−0.3
−0.3
−0.1
−0.4
−0.2
−0.2
−0.3
−0.1
0.0
−0.1
0.0
−0.1


87-88
9.2
6.0
8.9
8.5
8.9
8.7
10.7
11.0
6.3
5.4
10.2
10.7
6.2
6.7



−0.1
−0.7
−0.4
−0.3
−0.6
−0.5
−0.5
−0.4
−0.3
−0.2
−0.4
−0.3
−0.1
−0.2


89-90
9.0
6.1
8.8
8.2
8.7
8.7
10.7
10.9
6.2
5.2
9.9
10.4
6.0
6.7



−0.3
−0.6
−0.4
−0.5
−0.7
−0.6
−0.5
−0.5
−0.4
−0.4
−0.7
−0.6
−0.3
−0.2


91-92
9.1
6.2
8.9
8.2
8.7
8.7
10.7
10.9
6.2
5.3
9.8
10.4
5.9
6.6



−0.3
−0.5
−0.4
−0.5
−0.7
−0.6
−0.5
−0.5
−0.4
−0.3
−0.8
−0.7
−0.5
−0.3


93-94
9.1
6.3
8.7
8.1
8.6
8.8
10.7
10.7
6.3
5.0
9.6
10.1
6.0
6.6



−0.3
−0.4
−0.6
−0.6
−0.8
−0.5
−0.5
−0.7
−0.2
−0.6
−1.0
−1.0
−0.3
−0.3


95-96
8.8
6.2
8.4
8.0
8.1
8.7
10.3
10.7
6.3
5.0
8.3
9.8
5.9
6.4



−0.5
−0.5
−0.9
−0.8
−1.3
−0.6
−0.9
−0.7
−0.2
−0.6
−2.3
−1.3
−0.5
−0.6









HHb





















71-72
3.7
6.2
3.3
3.6
3.6
2.8
1.5
1.5
6.1
7.1
1.9
1.8
6.7
6.0



0.2
0.3
0.5
0.2
0.8
0.0
0.5
0.7
0.1
0.0
0.6
0.6
0.1
0.5


73-74
3.7
6.1
3.2
3.6
3.2
2.9
1.3
1.2
6.3
7.1
1.5
1.5
6.7
5.7



0.2
0.2
0.4
0.2
0.4
0.1
0.4
0.5
0.2
0.0
0.2
0.2
0.1
0.3


75-76
3.6
6.1
3.2
3.6
3.0
3.0
1.3
1.2
6.2
7.1
1.4
1.5
6.9
5.7



0.1
0.2
0.4
0.2
0.2
0.2
0.4
0.5
0.1
0.0
0.1
0.2
0.3
0.2


77-78
3.6
6.1
3.2
3.5
3.0
2.9
1.3
1.2
6.3
7.1
1.4
1.4
6.7
5.5



0.1
0.1
0.4
0.1
0.2
0.1
0.4
0.5
0.2
0.0
0.1
0.1
0.1
0.0


79-80
3.5
5.9
2.9
3.4
2.8
2.9
1.1
0.9
6.1
7.1
1.4
1.2
6.8
5.5



0.0
0.0
0.1
0.0
0.0
0.1
0.1
0.1
0.0
0.1
0.1
0.0
0.2
0.0


81-82
3.6
6.1
2.8
3.4
2.8
2.8
1.0
0.7
6.2
7.3
1.4
1.2
6.8
5.5



0.1
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.2
0.1
0.0
0.2
0.0


83-84
3.6
6.4
3.1
3.6
2.9
3.1
1.2
1.1
6.4
7.2
1.4
1.3
6.7
5.6



0.1
0.4
0.4
0.2
0.1
0.3
0.2
0.4
0.3
0.1
0.1
0.1
0.1
0.1


85-86
3.6
6.5
3.1
3.6
2.9
3.1
1.2
1.1
6.3
7.2
1.3
1.3
6.6
5.6



0.1
0.5
0.4
0.2
0.1
0.3
0.2
0.4
0.3
0.1
0.0
0.1
0.0
0.2


87-88
3.6
6.7
3.2
3.6
3.3
3.3
1.5
1.3
6.3
7.3
1.7
1.5
6.7
5.7



0.1
0.7
0.4
0.2
0.5
0.5
0.5
0.6
0.2
0.2
0.3
0.2
0.1
0.3


89-90
3.8
6.6
3.3
3.9
3.4
3.4
1.5
1.3
6.4
7.5
1.9
1.7
6.9
5.7



0.3
0.6
0.5
0.5
0.6
0.6
0.5
0.6
0.4
0.4
0.6
0.5
0.3
0.3


91-92
3.7
6.5
3.3
3.9
3.4
3.4
1.5
1.4
6.4
7.3
1.9
1.7
7.1
5.9



0.3
0.5
0.5
0.5
0.6
0.6
0.5
0.6
0.4
0.3
0.6
0.5
0.5
0.4


93-94
3.7
6.3
3.4
4.0
3.5
3.3
1.5
1.5
6.3
7.1
2.1
1.9
6.9
5.9



0.2
0.4
0.6
0.6
0.7
0.5
0.5
0.7
0.2
0.0
0.8
0.7
0.3
0.4


95-96
4.0
6.5
3.8
4.1
4.0
3.3
1.8
1.5
6.3
7.2
3.4
2.1
7.1
6.1



0.5
0.5
1.0
0.7
1.2
0.5
0.8
0.7
0.2
0.1
2.1
0.9
0.5
0.7









ϕO2HHb





















71-72
19.2
14.6
18.7
17.7
18.0
19.8
22.6
22.9
13.4
11.7
21.0
21.6
13.0
13.6



−1.4
−0.3
−1.7
−1.8
−3.0
−0.6
−2.1
−2.5
−0.9
−0.2
−2.4
−2.8
−0.9
−1.7


73-74
19.4
14.3
18.7
17.8
19.1
19.2
23.0
23.4
13.2
11.7
21.6
22.7
12.8
14.5



−1.2
−0.5
−1.7
−1.7
−1.9
−1.2
−1.7
−2.0
−1.1
−0.2
−1.8
−1.7
−1.1
−0.8


75-76
19.5
13.8
19.0
18.1
19.3
19.1
23.0
23.4
13.5
11.7
22.0
22.7
12.9
14.4



−1.1
−1.0
−1.4
−1.4
−1.7
−1.3
−1.7
−2.0
−0.9
−0.2
−1.4
−1.7
−1.0
−0.9


77-78
19.7
13.9
19.0
18.2
19.6
19.5
23.1
23.8
13.5
11.8
22.2
23.1
13.3
14.8



−0.9
−0.9
−1.4
−1.2
−1.4
−0.9
−1.6
−1.6
−0.9
−0.1
−1.2
−1.3
−0.6
−0.6


79-80
20.6
14.8
19.9
19.1
20.7
20.0
24.2
25.2
14.3
11.9
23.1
24.2
13.5
15.3



0.0
0.0
−0.5
−0.4
−0.3
−0.4
−0.5
−0.2
−0.1
0.0
−0.3
−0.2
−0.4
0.0


81-82
20.5
14.6
20.4
19.5
21.0
20.4
24.7
25.4
14.3
11.8
23.4
24.4
13.7
15.3



−0.1
−0.2
0.0
0.0
0.0
0.0
0.0
0.0
0.0
−0.1
0.0
0.0
−0.2
0.0


83-84
20.0
13.5
19.4
18.5
20.2
19.5
24.0
24.7
13.5
11.8
23.0
23.8
13.6
14.9



−0.5
−1.3
−1.0
−1.0
−0.7
−0.9
−0.7
−0.7
−0.8
−0.1
−0.4
−0.6
−0.3
−0.4


85-86
20.2
13.6
19.5
18.6
20.3
19.6
24.0
24.5
13.5
11.8
23.0
23.9
13.9
14.8



−0.4
−1.2
−0.9
−0.9
−0.6
−0.8
−0.7
−0.9
−0.8
−0.1
−0.4
−0.5
0.0
−0.5


87-88
20.1
13.2
19.4
18.3
19.4
19.1
23.8
24.1
13.8
11.7
22.8
23.4
13.5
14.6



−0.4
−1.6
−1.0
−1.2
−1.5
−1.3
−0.9
−1.3
−0.6
−0.2
−0.6
−1.0
−0.4
−0.7


89-90
19.7
13.3
19.2
17.9
18.9
18.7
23.4
23.8
13.5
11.2
21.5
22.7
13.0
14.5



−0.9
−1.5
−1.2
−1.6
−2.0
−1.7
−1.3
−1.6
−0.8
−0.7
−2.0
−1.7
−0.9
−0.8


91-92
19.7
13.4
19.3
18.0
18.9
18.8
23.3
23.8
13.4
11.6
21.3
22.8
12.9
14.3



−0.8
−1.5
−1.1
−1.4
−2.0
−1.6
−1.4
−1.5
−0.9
−0.4
−2.1
−1.6
−1.0
−1.0


93-94
19.7
13.7
18.9
17.4
18.5
19.1
23.1
23.4
13.7
11.4
20.8
21.9
13.1
14.3



−0.9
−1.1
−1.5
−2.0
−2.4
−1.3
−1.6
−2.0
−0.6
−0.5
−2.6
−2.5
−0.8
−1.0


95-96
19.1
13.6
18.3
17.4
17.7
19.1
22.4
23.4
13.9
11.2
18.1
21.3
12.8
13.8



−1.5
−1.2
−2.1
−2.1
−3.3
−1.3
−2.3
−2.0
−0.5
−0.7
−5.3
−3.0
−1.1
−1.5









ϕHHb





















71-72
7.7
13.0
7.0
7.7
7.6
6.4
3.1
3.0
13.4
15.5
3.9
3.8
14.6
12.6



0.1
0.1
0.7
0.3
1.6
0.2
0.8
1.3
0.2
0.2
0.9
1.0
0.2
0.7


73-74
7.7
13.0
6.8
7.7
6.7
6.3
2.8
2.6
13.3
15.4
3.4
3.1
14.6
12.1



0.0
0.1
0.6
0.3
0.6
0.1
0.6
0.9
0.1
0.1
0.4
0.3
0.2
0.3


75-76
7.7
13.0
6.7
7.7
6.4
6.3
2.8
2.6
13.3
15.4
3.1
3.1
14.7
12.1



0.1
0.1
0.5
0.3
0.4
0.1
0.6
0.9
0.1
0.1
0.2
0.3
0.3
0.2


77-78
7.7
12.9
6.7
7.6
6.4
6.3
2.8
2.6
13.2
15.3
3.1
2.9
14.5
11.9



0.1
0.0
0.5
0.2
0.4
0.0
0.6
0.9
0.0
0.0
0.2
0.1
0.1
0.0


79-80
7.7
13.0
6.2
7.4
6.0
6.2
2.4
1.8
13.4
15.4
3.1
2.8
14.7
12.0



0.0
0.1
0.0
0.0
0.0
0.0
0.2
0.2
0.2
0.1
0.1
0.0
0.3
0.1


81-82
7.9
13.4
6.3
7.4
6.1
6.2
2.2
1.7
13.8
15.4
3.1
2.8
14.7
12.2



0.2
0.5
0.1
0.0
0.1
0.0
0.0
0.0
0.6
0.1
0.1
0.0
0.3
0.3


83-84
8.0
13.9
6.9
7.8
6.3
6.7
2.7
2.3
13.8
15.6
3.1
2.9
14.7
12.2



0.3
1.0
0.7
0.5
0.3
0.4
0.4
0.7
0.6
0.3
0.2
0.2
0.3
0.3


85-86
7.9
14.2
6.9
7.9
6.2
6.7
2.7
2.4
13.9
15.8
2.9
2.9
14.4
12.3



0.2
1.3
0.7
0.5
0.2
0.5
0.5
0.7
0.6
0.5
0.0
0.2
0.0
0.4


87-88
7.8
14.5
7.0
8.1
7.3
7.2
3.1
2.9
13.8
16.0
3.7
3.1
14.8
12.5



0.2
1.6
0.8
0.7
1.3
1.0
0.9
1.2
0.6
0.7
0.8
0.3
0.4
0.6


89-90
8.2
14.2
7.1
8.5
7.4
7.4
3.2
2.9
13.8
16.1
4.2
3.7
15.1
12.6



0.6
1.3
0.9
1.1
1.4
1.2
1.0
1.3
0.5
0.8
1.3
0.9
0.7
0.7


91-92
8.1
14.0
7.0
8.5
7.4
7.4
3.2
3.0
14.0
16.1
4.2
3.7
15.4
12.7



0.5
1.1
0.8
1.1
1.4
1.1
1.0
1.3
0.8
0.8
1.3
1.0
1.0
0.8


93-94
8.2
13.8
7.3
8.8
7.7
7.1
3.2
3.2
13.7
16.1
4.6
4.2
15.1
12.8



0.5
0.9
1.1
1.4
1.6
0.9
1.0
1.5
0.5
0.8
1.7
1.4
0.7
0.9


95-96
8.6
14.3
8.1
9.0
8.8
7.1
4.0
3.2
13.8
16.1
7.4
4.7
15.4
13.4



0.9
1.4
1.9
1.6
2.7
0.9
1.8
1.5
0.5
0.8
4.4
1.9
1.0
1.5









The following muscle performance factors do not meet the criteria established by each factor to determine that any TMM or all of them develop at least one limitation of said factors:

    • A1. Structural Factor of Oxidative Capacity
    • A2. Functional Factor of Oxidative Capacity by General Fatigue
    • B1.1. Pulmonary Structural Factor
    • B1.2. Pulmonary Functional Factor
    • B2.1. Analytical Blood Flow Delivery Performance Factor)

Claims
  • 1. A monitoring and evaluation method of the physical performance of a subject that includes the stages of: providing devices for measuring, being two or more Near-Infrared Spectroscopy sensors (NIRS), a heart rate device, an activity monitoring device and a locomotive intensity meter;placing or adhering the NIRS sensors on muscle tissues (TM) to be evaluated, place the heart rate device on a subject's chest, place the activity monitoring device and the locomotive intensity meter;activating the devices for measuring data, during locomotive activity to be evaluated and sending data measured to a data processing system;recording, through the data processing system, the data measured, during the development of at least one Cyclical Locomotive-Physical Activity (AFC), wherein: the Monitored Cyclical Physical Activity (AFCM) is continuous or interval, the activity monitor records the entire time scale from the beginning to the end of the AFCM, including multiple work intervals and/or rest intervals,the recording frequency of the data for each device is less than 6 seconds, the AFCM is stable, incremental, decreasing; or variable locomotor intensity or a combination of them,the AFCM includes a period of previous warm-up,if the AFCM does not include at least one Rest interval (ID), the data recording will end 1 minute after the AFC ceases and that minute will be counted as an Rest interval (ID),the Locomotor Work Intensity (INTTL) or the average Locomotor Work Intensity Range (R-INTTL) are greater than or equal to the Minimum Activation Threshold (UAmin);obtaining at least the following monitored data from the devices for measuring with a respective temporary registration: Muscular Oxygen Saturation (SmO2%—%) and Absolute Capillary Hemoglobin (ThB—g/dL) of each of the monitored muscle tissues (TMM) that participate in AFCM, through the NIRS devices,Heart rate (HR—bpm), through the heart rate device,Power (Watts), Running Speed (Km/h), through the locomotive intensity meter,time record or timescale of the AFCM, with all the time records of the start or end of AFCM, and the start and end of the different intervals developed during the AFCM, through the locomotive activity meter,cadence (rpm) or acceleration, through external locomotor performance devices,analysis of metabolic gases (VO2/CO2), lactate measurements, and data from thermographic cameras, using physiological locomotor performance devices;synchronizing, linking and joining the monitored data obtained in a single time scale of joint data from the time record scale collected by the activity monitoring device during the AFCM and the time record of each of the devices for measuring, through the data processing system;calculating, through the data processing system, at least the following values for each Monitored Muscle Tissue (TMM) that participates in the AFCM from the recorded data of SmO2% and ThB of:Oxygen-Charged Capillary Hemoglobin—g/dL (O2HHb), through the formula: % (SmO2)*g/dL (ThB)=g/dL (O2HHb)Oxygen Discharged Capillary Hemoglobin—g/dL (HHb), through the formula: g/dL (ThB)−g/dL (O2HHb)=g/dL (HHb)Muscle Blood Flow of Muscle Hemoglobin—g/dL/s (ΦThB), through the formula: [g/dL (ThB)*(HR)]/60=g/dL/seg (ΦThB)Muscular Blood Flow of Oxygen Charged Hemoglobin—g/dL/s (ΦO2HHb), through the formula: [g/dL (O2HHb)*(HR)]/60=g/dL/seg (ΦO2HHb)Muscular Blood Flow of Oxygen Discharged Hemoglobin—g/dL/s (ΦHHb), through the formula [g/dL (HHb)*(HR)]/60=g/dL/seg (ΦHHb)filtering and excluding, through the data processing system, the data obtained erroneously and/or due to registration error by devices during AFCM;filtering and excluding, through the processing system, the values that are not within the following ranges, as well as data obtained by using them: SMO2%: Between 1% SmO2 and 99% SmO2;ThB: Between 9.5 g/dL and 14.9 g/dL;HR: Between 40 ppm and 230 ppm; andfiltering and excluding, through the processing system, the values having a difference between two temporary records, a previous value and the temporally subsequent value, greater than the following parameters, as well as data obtained by using them: Difference of SmO2%>±10% SmO2%;Difference of ThB>±0.3 g/dL;Difference of HR>±7 ppm.
  • 2. The monitoring and evaluation method according to claim 1, which further comprises the steps of: filtering and excluding all values obtained, calculated and/or recorded during all ID or without AFC,filtering and excluding all values obtained, calculated and/or recorded during the first minute of each work interval (IT),filtering and excluding all values obtained, calculated and/or registered when the value of the INTTL or R-INTTL in the same temporary register is equivalent to “0”,filtering and excluding all the values obtained, calculated and/or registered when the value of Muscle Contraction Frequency (FCM) or Muscle Contraction Frequency Range (R-FCM) in the same time register is equivalent to “0”,selecting and performing one of the following procedures: a first procedure comprising the steps of: calculating the statistical median value (Y̆) of the values SmO2%, ThB, ΦThB, O2HHb, ΦO2HHb, HHb, ΦHHb of each TMM, during AFCM, in each registered Locomotor Work Intensity (INTTL) or in each Intensity Range of Locomotor Work (R-INTTL), that participates in the AFCM;calculating and establishing the Trend Line (LinTrend) of the median values (Y̆−INTTL) or (Y̆−R-INTTL) obtained from Y̆SmO2%, Y̆ThB, Y̆ΦThB, Y̆O2HHb, Y̆ΦO2HHb, Y̆HHb and Y̆ΦHHb, in each TMM;a second procedure comprising the steps of: calculating the statistical average value (Y) of the values of SmO2%, ThB, ΦThB, O2HHb, ΦO2HHb, HHb, ΦHHb, of each TMM, during AFCM, in each INTTL or R-INTTL, registered during the AFCM;calculating and establishing the LinTrend of the average values (Y−INTTL) or (Y−R-INTTL) obtained from YSmO2%, YThB, YΦThB, YO2HHb, YΦO2HHb, YHHb and YΦHHb, in each TMM;a third procedure comprising a step of: calculating and establishing the LinTrend (Value/INTTL) or (Value/R-INTTL) from all filtered values of SmO2%, ThB, ΦThB, O2HHb, ΦO2HHb, HHb, HHb, in each TMM;calculating all values of LinTrend|Y|SmO2%, |Y|ThB, |Y|ΦThB, |Y|O2HHb, |Y|ΦO2HHb, |Y|HHb and |Y|HHb, of each TMM, for each INTTL or R-INTTL;calculating the Slope (p) between each of the values of |Y|SmO2%, |Y|ThB, |Y|ΦThB, |Y|O2HHb, |Y|ΦO2HHb, |Y|HHb and |Y|ΦHHb, from each TMM;calculating, analyzing and determining all the trend changes of (p) in each of the LinTrend of all the values |Y|SmO2%, |Y|ThB, |Y|ΦThB, |Y|O2HHb, |Y|ΦO2HHb, |Y|HHb and |Y|ΦHHb, of each TMM;calculating, analyzing and establishing between which two values of INTTL or R-INTTL occurs the 1st, 2nd and 3rd change in each TMM of the trend of the slope (p) of each LinTrend through the combining at least 4 of the 7 possible (p) changes of |Y|SmO2%, |Y|ThB, |Y|ΦThB, |Y|O2HHb, |Y|ΦO2HHb, |Y|HHb and |Y|ΦHHb;establishing the Physiological Thresholds of each TMM equivalent to the trend changes:
  • 3. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, analyzing and determining the CSV, between at least two sets of values |Y|SmO2%, |Y|ThB, |Y|ΦThB, |Y|O2HHb, |Y|ΦO2HHb, |Y|HHb or |Y|ΦHHb, established between two determined INTTL or R-INTTL, between at least two determined TMSM:
  • 4. The monitoring and evaluation method according to claim 2 and 3, further comprising the steps of: evaluating the value of |Y|SmO2% in each INTTL or R-INTTL, INTTL greater than or equal to UAmin and less than or equal to UAna;calculating, comparing, evaluating and establishing the Coefficient of Symmetry between Values (CSV) and the Level of Symmetry (NSCSV) between |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb of each TMM and his Contralateral Muscle Tissue Monitored (TMCM), in each INTTL or R-INTTL INTTL greater than or equal to UAmin and less than or equal to UAna;calculating, comparing and evaluating the General Trend of the Values (TGV []) |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);calculating, comparing and establishing the lowest value of and the equivalent NSCoef-(p) of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, between the combination of at least 70-75% of the TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);determining that the following criteria are met to establish a limitation in Factor (A1): the value of |Y|SmO2% in each INTTL or R-INTTL INTTL greater or equal than UAmin and less than or equal to UAna, is ≥70% SmO2%, in at least 70-75% of TMSM;the values of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb of each TMM and TMCM, have at least one optimal symmetry, in each INTTL or R-INTTL greater than or equal to UAmin and less than or equal to UAna, in at least the 70-75% of TMSM;the TGV of de |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb is symmetric between the combination of at least 70-75% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna); andthe TGV of de |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb is symmetric between each TMM and his TMCM, in at least 80-85% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
  • 5. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the values of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb of each TMM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating and evaluating the difference of SmO2% between the value of |Y|SmO2% of each TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin;comparing, evaluating and determining the CSV and NSCSV between the values of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb of each TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, comparing and evaluating the TGV [ of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);calculating, comparing and establishing the lowest value of and the equivalent NSCoef-(p) of |Y|SmO2%,|Y|ΦO2HHb and |Y|O2HHb, between the combination of at least 50-55% of the TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);determining that the following criteria are met to establish a limitation in Factor (A2): the difference between the value of |Y|SmO2% of each TMM and his TMCM is >5% SmO2%, in the 95% of INTTL or R-INTTL greater than or equal to UAmin, in at least the 70-75% of TMSM;the value of |Y|SmO2%is ≥55% SmO2%, in the 80% of TMSM, in each INTTL or R-INTTL greater than or equal to UAmin and less than or equal to UAna;the values of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb are asymmetric in at least the 50% of INTTL or R-INTTL greater than or equal to UAmin, between one TMM and his TMCM, in at least the 70-75% of TMSM; andthe TGV of de |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb is asymmetric between the combination of at least the 50-55% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
  • 6. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the value of |Y|SmO2% of at least one TMM, in each INTTL or R-INTTL greater than or equal to UAmin;calculate, comparing and evaluating the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb of at least one TMM with the values of his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, evaluating and determining the value of CSV and NSCSV of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, of at least one TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, comparing and evaluating the TGV [] of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);calculating, evaluating and determining the lowest value of and the equivalent NSCoef-(p) between the values of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, of at least the combination of the 50-55% TMSM;determining that the following criteria are met to establish a limitation on Factor (A3): the value of |Y|SmO2%is ≥50% SmO2% in the TMM analyzed, in the 95% of INTTL or R-INTTL greater than or equal to UAmin;the values of |Y|SmO2%, |Y|O2HHb |Y|y ΦO2HHb of the TMM analyzed are greater than the values of his TMCM, in the 95% of INTTL or R-INTTL greater than or equal to UAmin;the TGV of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb is asymmetric between the TMM analyzed and his TMCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna); andthe TGV of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb is symmetric between the combination of at least the 50-55% of TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna).
  • 7. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the value of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, of each TMM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, evaluating and determining the value of CSV and the equivalent NSCSV of de |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, of at least one TMM and his TMCM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, comparing and evaluating the TGV []) of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb of all TMSM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);calculating, evaluating and determining and the equivalent NSCoef-(p) between the values |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, of each TMM and his TMCM, in the R-INTTL (UAmin−UAe) and (UAe−UAna);determining that the following criteria are met to establish a limitation on Factor (A4): the value of |Y|SmO2% of the TMM analyzed and of his TMCM is greater than or equal to 65% SmO2%, in each INTTL or R-INTTL greater than or equal to UAmin;the trend of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb, in the 70% of TMSM and their TMSCM are minimally symmetric, in the R-INTTL (UAmin−UAe) and (UAe−UAna);the values of |Y|SmO2%, |Y|ΦO2HHb and |Y|O2HHb of the TMM analyzed and his TMCM are greater than the values of at least the 70-75% of the remaining TMSM, in each INTTL or R-INTTL greater than or equal to UAmin; andthe values of |Y|SmO2% of at least the 50-55% of TMSM is ≤45% SmO2%, in any INTTL or R-INTTL greater than or equal to UAe.
  • 8. The monitoring and evaluation method according to claim 2, where in addition to the TMSM to be evaluated, one or more TMSM that participate in the breathing process are evaluated, and where the method also comprise the steps of: calculating, analyzing and evaluating the value of |Y|SmO2% of at least one TMM involved in the breathing process inspiration (inhalation) and expiration (exhalation), during AFCM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, analyzing and evaluating the trend of the SmO2% and ΦO2HHb values of all TMSM, on the initial 5 and 10 seconds of at least one ID after an IT of INTTL or R-INTTL average greater than or equal to UAe;determining that the following criteria are met to establish a limitation on Factor (B1.1): the trend of the values SmO2% and ΦO2HHb in the initial 5 seconds, in all ID after an IT of INTTL or R-INTTL average greater than or equal to UAe, is less than [<0000.5], in at least 70% of TMSM;the trend of the values SmO2% and ΦO2HHb in the initial 10 seconds, in all ID after an IT of INTTL or R-INTTL average greater than or equal to UANA, is less than [<0000.5], in at least 70% of TMSM; andthe value of |Y|SmO2%is >50% SmO2% in the TMSM that participate in the breathing process [inspiration (inhalation) and expiration (exhalation)], in at least one INTTL or R-INTTL greater than or equal to UAmin.
  • 9. The monitoring and evaluation method according to claim 2, where in addition to the TMSM to be evaluated, one or more TMSM that participate in the breathing process are evaluated, and where they also comprise the steps of: calculating, analyzing and evaluating the value of |Y|SmO2% of at least one TM involved in the breathing process, inspiration (inhalation) and expiration (exhalation), during AFCM, in each INTTL or R-INTTL greater than or equal to UAmin;calculating, analyzing and evaluating the trend of the SmO2% and ΦO2HHb values of all TMSM, in the initial 5 seconds, of at least one ID after an IT of INTTL or R-INTTL average greater than or equal to UAe;determining that the following criteria are met to establish a limitation on Factor (B1.1): the trend of the values SmO2% and ΦO2HHb in the initial 5 seconds, in all ID after an IT of INTTL or R-INTTL average greater than or equal to UAe, is less than [<0000.5], in at least 70% of TMSM;the value of |Y|SmO2% is ≤50% SmO2% in the TMSM that participate in the breathing process, inspiration (inhalation) and expiration (exhalation), in at least one INTTL or R-INTTL greater than or equal to UAmin.
  • 10. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating the value of |Y|SmO2%, |Y|O2HHb, |Y|ΦO2HHb, of each TMM, in at least one INTTL or R-INTTL greater than or equal to UAmin.calculating the values of SmO2%, O2HHb and ΦO2HHb of the Upper Limit of the Optimal Zone (|lim sup|ZonaOp) and the Lower Limit of the Optimal Zone |lim inf|ZonaOp, in the determined INTTL or R-INTTL, from the following calculation: |lim sup|ZonaOp=(Median of {|Y|1;|Y|2;|Y|3; . . . ,})+(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2|lim inf|ZonaOp=(Median of {|Y|1;|Y|2;|Y|3; . . . ,})−(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2wherein |Y| is the value (SmO2%, O2HHb or ΦO2HHb) of each TMM at the determined intensity; (σ) is the standard deviation of (SmO2%, O2HHb or ΦO2HHb) of each TMM at the determined intensity;comparing and evaluating the values of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of at least one TMM with the values of SmO2%, O2HHb and ΦO2HHb of |lim inf|ZonaOp and of |lim sup|ZonaOp, in analyzed INTTL or R-INTTL greater than or equal to UAmin;determining the type of performance of the Factor (B.2.1.1) that develops at least one TMM analyzed, in the analyzed INTTL or R-INTTL, based on the following criteria: excessive Muscle Oxygen Amount if: the value of |Y|SmO2% of the TMM is ≤80% SmO2% in the analyzed INTTL or R-INTTL;the value of |Y|SmO2% of the analyzed TMM is greater than SmO2%|lim sup|ZonaOp, in the analyzed INTTL or R-INTTL;the difference between the value of |Y|SmO2% of the analyzed TMM and SmO2% |lim sup|ZonaOp is ≥15% SmO2%, in the analyzed INTTL or R-INTTL;greater Amount of Muscular Oxygen if: the value of |Y|SmO2% of the analyzed TMM is greater than SmO2% |lim sup|ZonaOp, in the analyzed INTTL or R-INTTL;the difference between the value of |Y|SmO2% of the analyzed TMM and SmO2% |lim sup|ZonaOp, is <15% SmO2%, in the analyzed INTTL or R-INTTL;optimal Amount of Muscular Oxygen if: the value of |Y|SmO2% of the analyzed TMM is equal or less than SmO2% |lim sup|ZonaOp, in the analyzed INTTL or R-INTTL;the value of |Y|SmO2% of the analyzed TMM is equal or greater than SmO2% |lim inf|ZonaOp, in the analyzed INTTL or R-INTTL;lower Amount of Muscular Oxygen if: the value of |Y|SmO2% of the analyzed TMM is greater than SmO2%|lim inf|ZonaOp, in the analyzed INTTL or R-INTTL;the value of |Y|SmO2% of the analyzed TMM is >20% SmO2%, in the analyzed INTTL or R-INTTL;inefficient or Low Amount of Muscular Oxygen if: the value of |Y|SmO2% of the analyzed TMM is greater than SmO2%|lim inf|ZonaOp, in the analyzed INTTL or R-INTTL;the value of |Y|SmO2% of the analyzed TMM is <20% SmO2%, in the analyzed INTTL or R-INTTL;determining the type of performance of the Factor (B.2.1.2) that develops at least one analyzed TMM, in the analyzed INTTL or R-INTTL, based on the following criteria: higher Hemoglobin Delivery Volume if: the value of |Y|O2HHb of the analyzed TMM is greater than O2HHb |lim sup|ZonaOp, in the INTTL or R-INTTL analyzed;optimal Hemoglobin Delivery Volume if: the value of |Y|O2HHb of the analyzed TMM analyzed is equal or less than O2HHb |lim sup|ZonaOp, in the analyzed INTTL or R-INTTL;the value of |Y|O2HHb of the analyzed TMM is equal or greater than O2HHb |lim inf|ZonaOp, in the analyzed INTTL or R-INTTL;lower Hemoglobin Delivery Volume if: the value of |Y|O2HHb of the analyzed TMM a is less than O2HHb |lim inf|ZonaOp, in the analyzed INTTL or R-INTTL;determining the type of performance of the Factor (B.2.1.3) that develops at least one analyzed TMM, in the analyzed INTTL or R-INTTL, based on the following criteria: higher Blood Flow Delivery Rate if: the value of |Y|ΦO2HHb of the analyzed TMM is greater than the value of ΦO2HHb |lim sup|ZonaOp, in the analyzed INTTL or R-INTTL;optimal Blood Flow Delivery Rate if: the value of |Y|ΦO2HHb of the analyzed TMM is equal or less than of ΦO2HHb |lim sup|ZonaOp, in the analyzed INTTL or R-INTTL;the value of |Y|ΦO2HHb of the analyzed TMM is equal or greater than ΦO2HHb |lim inf|ZonaOp, in the analyzed INTTL or R-INTTL;lower Blood Flow Delivery Rate if: the value of |Y|ΦO2HHb of the analyzed TMM is less than ΦO2HHb |lim inf|ZonaOp, in the analyzed INTTL or R-INTTL.
  • 11. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the maximum value of SmO2%, O2HHb and ΦO2HHb of all TMSM, in at least one ID;calculating, evaluating and determining the value of CSV and the equivalent NSCSV of the maximum value of SmO2%, ΦO2HHb and O2HHb, of all TMSM, in at least one ID;calculating, evaluating and determining the lowest value of CSV and the equivalent NSCSV of the maximum value of SmO2%, ΦO2HHb and O2HHb, from the combination of at least the 70-75% of the TMSM, in at least one ID;determining the type of performance of the Factor (B.2.2), just at the moment of cessation of locomotor work, based on the following criteria: perfect performance if: the maximum values of SmO2%, O2HHb and ΦO2HHb are symmetrically perfect, between all TMSM, in the analyzed ID;optimal performance if: the maximum values of SmO2%, O2HHb and ΦO2HHb, are symmetrically optimal, between the combination of at least the 70-75% of the TMSM, in the analyzed ID;asymmetric Performance if: the maximum values of SmO2%, O2HHb and ΦO2HHb, are not symmetrically optimal, between the combination of at least the 70-75% of the TMSM, in the analyzed ID.
  • 12. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the maximum value of SmO2%between two ID, separated by at least one IT of at least one TMM;determining the type of performance of the Factor (B.2.3) that develops, at least one analyzed TMM, between two ID, separated by a IT, based on the following criteria: Significant increase: increase >5% SmO2%, in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD;Slight Increase: increase between [2.01-5%] SmO2%, in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD;Slight decrease if: decrease between [2.01-5%] SmO2% in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD;Significant decrease if: decrease >5% SmO2%, in the maximum value of SmO2% of the analyzed TMM, in the 2nd ID in compared to the 1ST LD;Maintenance if: decrease or increase of between [0-2%] SmO2%, in the maximum value of SmO2%, of the analyzed TMM, in the 2nd ID in compared to the 1ST LD.
  • 13. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the TGV [] of |Y|ThB of at least one TMM, in the R-INTTL (UAe−UANA) and (UANA−Maximum Intensity [IntMax]);the value of |Y|SmO2% of the analyzed TMM is less than or equal to 45% SmO2%, in at least one INTTL or R-INTTL greater than or equal to UAmin;determining if the following criteria are met to establish a limitation in Factor (B2.4): the TGV |Y|ThB of the analyzed TMM is [>0.0005], in the R-INTTL (UAe−UANA) or (UANA−Maximum Intensity [IntMax]); andthe value of |Y|SmO2% of the analyzed TMM is less than or equal to 45% SmO2%, in at least one INTTL or R-INTTL greater than or equal to UAmin.
  • 14. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the value |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of at least one TMM, in at least one INTTL or R-INTTL greater or equal than UAmin;calculating the SmO2%, O2HHb and ΦO2HHb values of the Upper Limit of the Optimal Zone (|lim sup|ZonaOp) and the Lower Limit of the Optimal Zone (|lim inf|ZonaOp), in the determined INTTL or R-INTTL, from the following calculation: |lim sup|ZonaOp=(Mediana de{|Y|1;|Y|2;|Y|3; . . . ,})+(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2|lim inf|ZonaOp=(Mediana de{|Y|1;|Y|2;|Y|3; . . . ,})−(σ{|Y|1;|Y|2;|Y|3; . . . ,})/2where |Y| is the value (SmO2%, O2HHb or ΦO2HHb) of each TMM, in the determined INTTL or R-INTTL and (σ) the standard deviation of (SmO2%, O2HHb or ΦO2HHb) of each TMM, in the determined INTTL or R-INTTL;comparing and evaluating the values of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of at least one TMM with the values of SmO2%, O2HHb and ΦO2HHb of the |lim sup|ZonaOp and the |lim inf|ZonaOp, in at least one determined INTTL or R-INTTL greater or equal than UAmin;determining the level of Neuromuscular Activation performed by at least one TMM (Factor B3.1), based on the following criteria: Null or Very Low Neuromuscular Activation if: the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb of the TMM analyzed is greater than SmO2%, O2HHb andΦO2HHb |lim sup|ZonaOp, in the determined INTTL or R-INTTL;the value of |Y|SmO2% of the TMM analyzed, is ≥75% SmO2% in the determined INTTL or R-INTTL;Less or Low Neuromuscular Activation if: the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb of the TMM analyzed is greater than SmO2%, O2HHb andΦO2HHb |lim sup|ZonaOp, in the determined INTTL or R-INTTL;the value of |Y|SmO2% of the TMM analyzed, is <75% SmO2%, in the determined INTTL or R-INTTL;Optimal Neuromuscular Activation if: the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of the TMM analyzed, is less than SmO2%, O2HHb and ΦO2HHb |lim sup|ZonaOp, in the determined INTTL or R-INTTL;the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of the TMM analyzed, is greater than SmO2%, O2HHb and ΦO2HHb |lim inf|ZonaOp, in the determined INTTL or R-INTTL;Excessive or Priority Neuromuscular Activation if the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of the TMM analyzed, is less than SmO2%, O2HHb and ΦO2HHb |lim inf|ZonaOp, in the determined INTTL or R-INTTL;the value of |Y|SmO2% of the TMM analyzed is ≤25% SmO2%, in some INTTL or R-INTTL;High Neuromuscular Activation if: the value of |Y|SmO2%, |Y|O2HHb and |Y|ΦO2HHb, of the TMM analyzed, is less than SmO2%, O2HHb and ΦO2HHb |lim inf|ZonaOp, in the determined INTTL or R-INTTL;the value of |Y|SmO2% of the TMM analyzed is >25% SmO2%, in all the INTTL or R-INTTL greater than or equal to UAmin.
  • 15. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating the median value of ThB (Y̆ThB), of at least one TMM, in at least one IT of average INTTL or R-INTTL greater than or equal to UAmin;calculating the standard deviation (σ) of at least one TMM, in at least one IT of average INTTL or R-INTTL greater than or equal to UAmin;calculating the minimum value of ThB in at least one ID perform after an IT analyzed, of average INTTL or R-INTTL greater than or equal to UAmin;calculating and evaluate the difference between [(Y̆ThB)−σ] of at least one IT and the minimum value of ThB of his posterior/successive ID;determining if the following criteria are met to establish a limitation in Factor (B3.2) in at least one TMM: the value [Median Y̆ThB−σThB] of the analyzed TMM, of the analyzed IT of INTTL or R-INTTL greater than or equal to UAmin, is greater than the minimum value of ThB of the successive ID to the analyzed IT.
  • 16. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the median value (Y̆) of SmO2%, O2HHb, ΦO2HHb, HHb and ΦHHb, of each TMM, in at least one determined INTTL or R-INTTL, in each one of the developed FCM and in the determined environmental conditions, during the AFCM;determining all the Optimal FCM or Optimal R-FCM, of at least one determined INTTL or R-INTTL, under certain environmental conditions, during AFCM, based on the fulfillment of the following criteria established for the factor (B3.3): have the highest value of Y̆SmO2% or a difference ≤(±2.5%) SmO2% with respect to the highest value Y̆SmO2%, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM;have the highest value of Y̆O2HHb % or a difference ≤(±0.30 g/dL) O2HHb with respect to the highest value Y̆O2HHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM;have the highest value of Y̆ΦO2HHb % or a difference ≤(±1.00 g/dL) ΦO2HHb with respect to the highest value Y̆ΦO2HHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM;have the lowest value of Y̆HHb % or a difference ≤(±1.00 g/dL) HHb with respect to the lowest value HHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM;have the lowest value of Y̆ΦHHb% or a difference ≤(±1.00 g/dL) ΦHHb with respect to the lowest value Y̆ΦHHb, of all FCM or R-FCM, in at least the 78-81% of the TMM, in the determined INTTL or R-INTTL, during the determined AFCM.
  • 17. A monitoring and evaluating system the physical performance of one subject that comprises: two or more near infrared sensors (NIRS);a heart rate device;an activity monitoring device;a locomotive intensity meter; anda data processing system connected to the two or more near infrared sensors (NIRS), the heart rate device, the activity monitoring device and the locomotive intensity meter and configured to carry out the steps of:placing or adhering the NIRS sensors on muscle tissues (TM) to be evaluated, place the heart rate device on a subject's chest, place the activity monitoring device and the locomotive intensity meter;activating the devices for measuring data, during locomotive activity to be evaluated and sending data measured to a data processing system;recording, through the data processing system, the data measured, during the development of at least one Cyclical Locomotive-Physical Activity (AFC), wherein: the Monitored Cyclical Physical Activity (AFCM) is continuous or interval,the activity monitor records the entire time scale from the beginning to the end of the AFCM, including multiple work intervals and/or rest intervals,the recording frequency of the data for each device is less than 6 seconds,the AFCM is stable, incremental, decreasing or variable locomotor intensity or a combination of them,the AFCM includes a period of previous warm-up,if the AFCM does not include at least one Rest interval (ID), the data recording will end 1 minute after the AFC ceases and that minute will be counted as an Rest interval (ID),the Locomotor Work Intensity (INTTL) or the average Locomotor Work Intensity Range (R-INTTL) are greater than or equal to the Minimum Activation Threshold (UAmin);obtaining at least the following monitored data from the devices for measuring with a respective temporary registration: Muscular Oxygen Saturation (SmO2%—%) and Absolute Capillary Hemoglobin (ThB—g/dL) of each of the monitored muscle tissues (TMM) that participate in AFCM, through the NIRS devices,Heart rate (HR—bpm), through the heart rate device, Power (Watts), Running Speed (Km/h), through the locomotive intensity meter, time record or timescale of the AFCM, with all the time records of the start or end of AFCM, and the start and end of the different intervals developed during the AFCM, through the locomotive activity meter,cadence (rpm) or acceleration, through external locomotor performance devices, analysis of metabolic gases (VO2/CO2), lactate measurements, and data from thermographic cameras, using physiological locomotor performance devices;synchronizing, linking and joining the monitored data obtained in a single time scale of joint data from the time record scale collected by the activity monitoring device during the AFCM and the time record of each of the devices for measuring, through the data processing system;calculating, through the data processing system, at least the following values for each Monitored Muscle Tissue (TMM) that participates in the AFCM from the recorded data of SmO2% and ThB of: Oxygen-Charged Capillary Hemoglobin—g/dL (O2HHb), through the formula: % (SmO2)*g/dL (ThB)=g/dL (O2HHb)Oxygen Discharged Capillary Hemoglobin—g/dL (HHb), through the formula: g/dL (ThB)−g/dL (O2HHb)=g/dL (HHb)Muscle Blood Flow of Muscle Hemoglobin—g/dL/s (ΦThB), through the formula: [g/dL (ThB)*(HR)]/60=g/dL/seg (ΦThB)Muscular Blood Flow of Oxygen Charged Hemoglobin—g/dL/s (ΦO2HHb), through the formula: [g/dL (O2HHb)*(HR)]/60=g/dL/seg (ΦO2HHb)Muscular Blood Flow of Oxygen Discharged Hemoglobin—g/dL/s (ΦHHb), through the formula [g/dL (HHb)*(HR)]/60=g/dL/seg (ΦHHb)filtering and excluding, through the data processing system, the data obtained erroneously and/or due to registration error by devices during AFCM;filtering and excluding, through the processing system, the values that are not within the following ranges, as well as data obtained by using them: SMO2%: Between 1% SmO2 and 99% SmO2;ThB: Between 9.5 g/dL and 14.9 g/dL;HR: Between 40 ppm and 230 ppm; andfiltering and excluding, through the processing system, the values having a difference between two temporary records, a previous value and the temporally subsequent value, greater than the following parameters, as well as data obtained by using them: Difference of SmO2%>±10% SmO2%;Difference of ThB>±0.3 g/dL;Difference of HR>±7 ppm.
Priority Claims (1)
Number Date Country Kind
P202030749 Jul 2020 ES national
PCT Information
Filing Document Filing Date Country Kind
PCT/ES2021/070530 7/16/2021 WO