The disclosure relates to a method and an apparatus for producing information indicative of metabolic state of a metabolic energy system. Furthermore, the disclosure relates to a computer program for producing information indicative of metabolic state of a metabolic energy system.
Muscular metabolic energy production can be separated in three main systems which are related to activities of different intensities and durations. The phosphagen system, i.e. the adenosine triphosphate-creatine phosphate “ATP-CP”, supports brief and high-intensity activities having durations of few seconds. The glycolytic system provides energy for activities of longer durations and lower intensities. The durations of activities energized by the glycolytic system are typically tens of seconds. The aerobic system, i.e. the oxidative system, supports long-duration, lower-intensity activities like distance running. The durations of activities exceeding the basal metabolic rate and energized by the aerobic system can be several hours.
In many situations, there is a need for information indicative of metabolic state during a physical exercise. For example, with the aid of such information, a person can train at an optimal level giving better results for example in sports, fitness, healthcare, and/or weight control. Furthermore, the information about the metabolic state facilitates maximizing training effectiveness and preventing overtraining and fatigues. Typical devices for producing information indicative of metabolic energy production are heart-beat rate sensors, pedometers, electromyographical “EMG” sensors, instruments for measuring respiratory gas exchange i.e. oxygen intake and CO2 production, calorimetric instruments, and means for measuring lactate from blood. An inconvenience related to many devices for estimating metabolic energy production is that they do not provide information about instant metabolic energy production but only a time-average of the metabolic energy production so that one cannot see e.g. a current trend of the metabolic state. An inconvenience related to some devices, e.g. instruments for measuring respiratory gas exchange, is that they require a complex instrumentation and thus they are not suitable for being a small portable device.
Direct energy measurement based on a heat-flux sensor has been used in commercial products, e.g. LifeChek™. However, many available products measure only an average of a long-term energy production and thus they do not produce information indicative of the instant metabolic state during a physical exercise.
The following presents a simplified summary in order to provide a basic understanding of some aspects of various invention embodiments. The summary is not an extensive overview of the invention. It is neither intended to identify key or critical elements of the invention nor to delineate the scope of the invention. The following summary merely presents some concepts of the invention in a simplified form as a prelude to a more detailed description of exemplifying embodiments of the invention.
In accordance with the invention, there is provided a new apparatus for producing information indicative of metabolic state of a metabolic energy system. An apparatus according to the invention comprises:
The above-mentioned estimates can be indicative of the instant metabolic state of the metabolic energy system. The estimates can be utilized for example in physical training, weight control, and detection of metabolism-related health issues such as e.g. diabetes. The estimates make it easier to maximize training effectiveness and prevent overtraining and fatigues. Furthermore, the above-mentioned estimates facilitate monitoring recovery, avoiding lactic acidocis, and detecting metabolic disorders.
The above-described apparatus may further comprise a heat-flux sensor for measuring the heat-flux. It is also possible that the signal interface is suitable for receiving a signal from an external heat-flux sensor, i.e. it is emphasized that the apparatus does not necessarily comprise any heat-flux sensor for measuring the heat-flux. It is also possible that the signal interface is suitable for receiving signals from many heat-flux sensors. In this exemplifying case, the apparatus may comprise many heat-flux sensors or the signal interface is suitable for receiving signals from many external heat-flux sensors. The above-described apparatus can be a portable device and each heat-flux sensor can be placed on e.g. a wrist band, a chest band, a strap, a belt, or another wearable item.
In accordance with the invention, there is provided also a new method for producing information indicative of metabolic state of a metabolic energy system. A method according to the invention comprises:
In accordance with the invention, there is provided also a new computer program for producing information indicative of metabolic state of a metabolic energy system. A computer program according to the invention comprises computer executable instructions for controlling a programmable processor to:
In accordance with the invention, there is provided also a new computer program product. The computer program product comprises a non-volatile computer readable medium, e.g. a compact disc “CD”, encoded with a computer program according to the invention.
Various exemplifying and non-limiting embodiments of the invention are described in accompanied dependent claims.
Various exemplifying and non-limiting embodiments of the invention both as to constructions and to methods of operation, together with additional objects and advantages thereof, will be best understood from the following description of specific exemplifying and non-limiting embodiments when read in conjunction with the accompanying drawings.
The verbs “to comprise” and “to include” are used in this document as open limitations that neither exclude nor require the existence of unrecited features. The features recited in dependent claims are mutually freely combinable unless otherwise explicitly stated. Furthermore, it is to be understood that the use of “a” or “an”, i.e. a singular form, throughout this document does not exclude a plurality.
Exemplifying and non-limiting embodiments of the invention and their advantages are explained in greater detail below in the sense of examples and with reference to the accompanying drawings, in which:
The specific examples provided in the description below should not be construed as limiting the scope and/or the applicability of the accompanied claims. Lists and groups of examples provided in the description are not exhaustive unless otherwise explicitly stated.
In this exemplifying case, the signal indicative of the measured heat-flux is assumed to be S1 at the moment of time t1 and S2 at the moment of time t2. The total muscular energy production is assumed to be directly proportional to the measured heat-flux. Thus, the total muscular energy production is α×S1 at the moment of time t1, and correspondingly the total muscular energy production is α×S2 at the moment of time t2, where a is a constant ratio between the total muscular energy production and the measured heat-flux. It is however also possible to use a more complex and sophisticated conversion rule between the total muscular energy production and the signal indicative of the measured heat-flux. The unit of the heat-flux and the muscular energy production can be e.g. Watt, i.e. Joule/second.
As shown in
Ep1=α×S1×p1/(p1+g1+a1). (1)
The estimate Eg1 for the energy production of the glycolytic system at the moment of time t1 is:
Eg1=α×S1×g1/(p1+g1+a1). (2)
The estimate Ea1 for the energy production of the aerobic system at the moment of time t1 is:
Ea1=α×S1×a1/(p1+g1+a1). (3)
Correspondingly, the estimates for the energy production of the phosphagen system, the energy production of the glycolytic system, and the energy production of the aerobic system at the moment of time t2 are:
Ep2=α×S2×p2/(p2+g2+a2), (4)
Eg2=α×S2×g2/(p2+g2+a2), and (5)
Ea2=α×S2×a2/(p2+g2+a2). (6)
As illustrated by the above-presented examples, the estimates for the energy production of the phosphagen system, the energy production of the glycolytic system, and the energy production of the aerobic system can be obtained at an arbitrary moment of time. The estimates can be formed nearly in real-time since the heat-flux generated by the metabolic system follows the instant metabolic state with a short response time and a heat-flux sensor can be selected so that the signal indicative of the heat-flux follows the real heat-flux with a short response time. Therefore, the estimates are indicative of the instant state of the metabolic energy system. The estimates can be utilized for example in physical training, weight control, and detection of metabolism-related health issues such as e.g. diabetes. The estimates make it easier to maximize training effectiveness and prevent overtraining and fatigues. Furthermore, the above-mentioned estimates facilitate monitoring recovery, avoiding lactic acidocis, and detecting metabolic disorders. It is, however, also possible that the estimates are formed off-line based on the model data and recorded values of the signal indicative of the measured heat-flux.
The model data is typically person-specific, i.e. the curves shown in
The accuracy of the above-mentioned estimates can be improved with additional measurements on the human or animal body representing the metabolic energy system under consideration. A method according to an exemplifying and non-limiting embodiment of the invention comprises receiving a heart-beat rate signal indicative of a heart-beat rate. The method comprises increasing the estimate of the energy production of the aerobic system and decreasing the estimates of the energy productions of the phosphagen system and the glycolytic system in response to an increase of the heart-beat rate. This approach is based on an assumption that the increase of the heart-beat rate indicates that the relative share of the aerobic energy production increases with respect to the energy productions of the phosphagen system and the glycolytic system. The rule how the increase of the heart-beat rate is taken into account can be based on e.g. empirical data. For another example, the heart-beat rate signal can be used for correcting the relation between the total muscular energy production and the signal indicative of the measured heat-flux. The correction rule can be based on e.g. empirical data.
A method according to an exemplifying and non-limiting embodiment of the invention comprises receiving an acceleration signal. The acceleration signal can be used for example detecting the beginning of the physical loading, i.e. for detecting the time moment t0 shown in
A method according to an exemplifying and non-limiting embodiment of the invention comprises receiving an electromyography “EMG” signal. The EMG-signal can be used for example detecting the beginning of the physical loading. For another example, the EMG-signal can be used for correcting the relation between the total muscular energy production and the signal indicative of the measured heat-flux. The correction rule can be based on e.g. empirical data. An EMG-sensor can be attached on e.g. a limb of a person under consideration.
A computer program according to an exemplifying and non-limiting embodiment of the invention comprises computer executable instructions for controlling a programmable processor to carry out actions related to a method according to any of the above-described exemplifying embodiments of the invention.
A computer program according to an exemplifying and non-limiting embodiment of the invention comprises software modules for producing information indicative of metabolic state of a metabolic energy system. The software modules comprise computer executable instructions for controlling a programmable processor to:
The above-mentioned software modules can be e.g. subroutines or functions implemented with a suitable programming language.
A computer program product according to an exemplifying and non-limiting embodiment of the invention comprises a computer readable medium, e.g. a compact disc “CD”, encoded with a computer program according to an embodiment of invention.
A signal according to an exemplifying and non-limiting embodiment of the invention is encoded to carry information defining a computer program according to an embodiment of invention. In this exemplifying case, the computer program can be downloadable from a server that may constitute e.g. a part of a cloud service.
The apparatus 201 comprises a processing device 203 coupled to the signal interface 202. The processing device 203 is configured to maintain model data that expresses relative contributions of the phosphagen system, the glycolytic system, and the aerobic system to muscular energy production as functions of time during physical loading of the metabolic energy system. Exemplifying model data is depicted with curves in
In an apparatus according to an exemplifying and non-limiting embodiment of the invention, the processing device 203 is configured to receive a heart-beat rate signal indicative of a heart-beat rate from a heart-beat rate sensor 207. The processing device 203 can be configured to increase the estimate of the energy production of the aerobic system and decrease the estimates of the energy productions of the phosphagen system and the glycolytic system in response to an increase of the heart-beat rate. The rule how the increase of the heart-beat rate is taken into account can be based on e.g. empirical data. For another example, the heart-beat rate signal can be used for correcting the relation between the total muscular energy production and the signal indicative of the measured heat-flux. The correction rule can be based on e.g. empirical data.
In an apparatus according to an exemplifying and non-limiting embodiment of the invention, the processing device 203 is configured to receive an acceleration signal from an acceleration sensor 208. The processing device 203 can be configured to detect the beginning of the physical loading based on the acceleration signal, i.e. to detect the time moment t0 shown in
In an apparatus according to an exemplifying and non-limiting embodiment of the invention, the processing device 203 is configured to receive an electromyography “EMG” signal from an EMG-sensor 209. The processing device 203 can be configured to detect the beginning of the physical loading based on the EMG-signal. For another example, the EMG-signal can be used for correcting the relation between the total muscular energy production and the signal indicative of the measured heat-flux. The correction rule can be based on e.g. empirical data.
In an apparatus according to an exemplifying and non-limiting embodiment of the invention, the processing device 203 is provided with a signal input for receiving a trigger signal which is operated e.g. manually and which indicates the beginning of the physical loading, i.e. the time moment t0 shown in
In the exemplifying case illustrated in
The processing device 303 of the apparatus 301 is configured to maintain model data that expresses relative contributions of the phosphagen system, the glycolytic system, and the aerobic system to muscular energy production as functions of time during physical loading of a human or animal body. The processing device 303 is configured to form an estimate for energy production of the phosphagen system, an estimate for energy production of the glycolytic system, and an estimate for energy production of the aerobic system as functions of time and based on the model data and the signal indicative of the heat-flux.
The processing device 203 of the apparatus 201 illustrated in
The specific examples provided in the description given above should not be construed as limiting the applicability and/or interpretation of the appended claims. It is to be noted that lists and groups of examples given in this document are non-exhaustive lists and groups unless otherwise explicitly stated.
Number | Date | Country | Kind |
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20175875 | Oct 2017 | FI | national |
Filing Document | Filing Date | Country | Kind |
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PCT/FI2018/050590 | 8/21/2018 | WO | 00 |