Patent Grant
11963744
The present invention relates to a bio-information output device and the like.
Various devices have been known to display and record bio-information such as heart rate and respiratory rate of a patient who is a person to be measured. For example, electrocardiographs and respiration examination devices of wearable types to be worn by a patient and those of non-wearable types which perform measurement based on vibration or the like have been known.
Among these, in order to display more accurate bio-information to be measured, there have been known inventions (for example, refer to Patent Document 1 and Patent Document 2), in which noise is removed from the measurement data in a certain interval based on a certain index so as to calculate the numerical value of bio-information in that interval based on the measurement data after noise removal. However, the reliability of the calculated numerical value thus calculated is ambiguous so that many data with low reliability may also be included.
Patent Document 1:
Conventionally, for the calculated bio-information (respiratory rate, heart rate, etc.), measurements are all displayed whether the reliability of measurement is high or low, except when excessive noise is mixed in the measurement data due to a large body motion or device detachment, or when the input signal is extremely low. For example, also in the patent documents mentioned above, since the calculated bio-information is displayed without reliability being examined, it has not been known how much degree the displayed bio-information is reliable.
Furthermore, there are many devices which continue to display previous values even after excessive noise is mixed in.
In medical and nursing care scenes and medical studies, display and recording of bin-information with low reliability are not desired but display and recording with high accuracy are demanded, so that it is desirable that incorrect information is not displayed and recorded if possible.
For example, in a hospital, if heart rate or respiratory rate takes an abnormal value, an alarm is given so that the medical staff must rush to the patient. Data with low reliability tends to take anomaly values, and unnecessary alarm (false alarm) increases the burden on the medical staff. In particular, non-wearable devices tend to collect more unreliable data as compared with wearable devices such as electrocardiographs, increasing the burden on the medical staff due to false alarms.
In view of the above-described problems, it is therefore an object of the present invention to provide a bio-information output device or the like that facilitates distinguishment of highly reliable bio-information by outputting bio-information of high reliability alone among the calculated bio-information or by performing distinctive display according to reliability.
In view of the above-described problems, a bio-information output device of the present invention includes:
A bio-information output device of the present invention includes:
A bio-information output method of the present invention includes:
According to the present invention, the bio-information is calculated from the biosignal of the subject. The reliability of the calculated bio-information is determined, and when the reliability is determined to be high by the reliability determining means, the bio-information is output. When the reliability is determined to be low, the bio-information will not be output. As a result, the user using the bio-information can use only highly reliable bio-information.
Further, the bio-information may be added with information on reliability as reliability information and output. This not only enables the user to use highly reliable bio-information, but also use it if desired even if the reliability is low. Thus, it is possible to use the bio-information in accordance with the degree of reliability.
Now, the best mode for carrying out the invention will be described with reference to the drawings. Specifically, a bio-information output system to which the bio-information output device of the present invention is applied will be described, but the scope to which the present invention is applied is not limited to the embodiment.
[1.1 Overall System]
When a subject to be measured as to bio-information (hereinafter referred to as “patient P”) resides on the mattress 20, the detection device 3 detects the body motion (vibration) as the biosignal of the patient P via the mattress 20. Then, based on the detected vibration, the bio-information of the patient P is calculated. In the present embodiment, it is possible to output and display the calculated bio-information (for example, respiratory rate, heart rate) as bio-information of the patient P. For example, the detection device 3 may be integrally formed by providing a storage unit, a display unit and the like. Further, since the processing device 5 may employ a general-purpose device, the processing device is not limited to information processing devices such as computers and the like, but can be constituted of a device such as a tablet device and a smartphone, for example.
Also, the subject may be a person who is under medical treatment or needs care. Healthy persons who do not need nursing care, elder people, children, disabled people and even animals may be handled.
Here, the detection device 3 is shaped sheet-like so as to reduce its thickness. Thereby, even if the detection device is set between the bed 10 and the mattress 20, it can be used without causing the patient P to feel uncomfortable.
It should be noted that the detection device 3 only needs to acquire biosignals (such as body motion, respiratory motion, ballistardiographic motion, etc.) of the patient P. Though in the present embodiment, the body motion is used to acquire and calculate the heart rate and the respiratory rate, it is possible, for example, to detect the body motion of the patient P by using an infrared sensor, based on the acquired image, etc., or using an actuator with a strain gauge.
[1.2 Functional Configuration]
Subsequently, the functional configuration of the bio-information output system 1 (bio-information output device) will be described with reference to
The bio-information output system 1 includes a control unit 100, the biosignal acquiring unit 200, a bio-information calculating unit 300, an input unit 400, an output unit 450, a storage unit 500 and a patient state acquiring unit 600. In the case of
The control unit 100 is a functional unit for controlling the operation of the bio-information output system 1 and is configured of control circuits necessary for the bio-information output system 1 such as a CPU and others. The control unit 100 reads out and runs various programs stored in the storage unit 500 to realize various processes. In the present embodiment, the control unit 100 operates as a whole, but it is provided separately in the detection device 3 and the processing device 5.
The biosignal acquiring unit 200 is a functional unit for acquiring biosignals of the patient P. In the present embodiment, as one example a sensor for detecting body motion of the patient P is used to acquire the body motion which is a kind of a biosignal. Then, the acquired body motion is output as body motion data. Based on this body motion data, various bio-information of the patient P can be calculated. Further, based on the body motion data, it is also possible to grasp the condition of the patient P on the bed (for example, whether or not the patient P is lying on the bed, whether the patient P is staying on the bed, leaving the bed or sitting on the edge of the bed, etc.) and also grasp the sleep state (sleeping, awakening) of the patient.
In the present embodiment, the biosignal acquiring unit 200 acquires the vibration (body motion) of the patient by means of a pressure sensor, for example, and acquires breathing and heartbeat from the vibration. However, a load sensor may be used to detect change of the position of the center of gravity (body motion) of the patient, thereby acquire the biosignal, or a microphone may be provided to acquire bio-information based on the sound picked up by the microphone. Any sensor may be used as long as biosignals of the patient can be obtained.
That is, the biosignal acquiring unit 200 may be connected to a device such as the detection device 3, or it is also possible to provide a configuration that the biosignal acquiring unit 200 receives biosignals from external devices.
The bio-information calculating unit 300 is a functional unit for calculating bio-information (respiratory rate, heart rate, etc.) of the patient P. In the present embodiment, the respiration component/heart rate component may be extracted from the body motion acquired from the biosignal acquiring unit 200 so as to determine the respiratory rate and heart rate based on the respiration interval and heartbeat interval. Alternatively, the periodicity of the body motion may be analyzed (by Fourier transform, etc.), to calculate the respiratory rate and heart rate from the peak frequencies.
The input unit 400 is a functional unit for allowing the measurer to input various conditions and perform operation input for starting measurement. This function is, for example, implemented by hardware keys, software keys or some other input means.
The output unit 450 is a functional unit for outputting the sleep state and bio-information such as heart rate and respiratory rate and notifying anomalies of bio-information. The output unit 450 may be a display device such as a display or a notification device (sound output device) for giving an alarm or the like. Further, it may be an external storage device that stores data, a transmitter that transmits data via a communication path, and the like. Further, it may be a communication device for reporting to other devices.
The storage unit 500 is a functional unit that stores various data and programs for the bio-information output system 1 to operate The control unit 100 reads out and runs the program stored in the storage unit 500 to realize various functions. Here, the storage unit 500 is composed of, for example, a semiconductor memory, a magnetic disk device and/or the like. In this case, the storage unit 500 stores bio-information data 510.
Stored in the bio-information data 510 are the respiratory rate and heart rate calculated from the acquired biosignal (body motion). Though, in the present embodiment, both the respiratory rate and the heart rate are stored, only one of them may be stored. Further, other information (for example, variations in respiration amplitude) may be stored as long as it is bio-information that can be calculated by the bio-information calculating unit 300.
The patient state acquiring unit 600 is a device for acquiring the state of the patient. For example, a load sensor or the like arranged in the bed 10 is used to grasp the state of the patient (lying on bed, leaving bed, staying in bed, etc.). As described above, the patient state may be acquired based on the biosignal acquired by the biosignal acquiring unit 200.
[1.3 Processing Flow]
Subsequently, the flow of the processing of the bio-information output system 1 (bio-information output device) in the present embodiment will be described with reference to
Subsequently, the bio-information calculating unit 300 calculates bio-information (Step S104). In the present embodiment, the body motion acquired as a biosignal is separated into a respiratory component and a heartbeat component so as to calculate heart rate and respiratory rate as bio-information.
Here, various methods can be considered as methods for calculating heart rate and respiratory rate. For example, the body motion data is filtered so as to extract the respiratory component and determine the breath interval for each breath. Then, the respiratory rate is calculated based on the breath interval. Also, the body motion data is filtered to extract the heart beat component and determine the heart beat interval for each beat. Then, the heart rate is calculated based on the heart beat interval
Alternatively, calculation may be performed by analyzing the periodicity of the body motion data to find the respiratory rate and the heart rate from the peak frequencies.
Further, in the present embodiment, values calculated on the basis of body motion data, for example every 5 seconds are used. Specifically, calculation is performed every 5 seconds based on the heart rate and/or the respiratory rate calculated during a predetermined period of time. In the present embodiment, both the heart rate and the respiratory rate are calculated, but calculation may be performed for either one of them alone.
Subsequently, a reliability determination process for determining the reliability of the calculated heart rate and respiratory rate is executed (Step S106). Here, as a method of calculating reliability, various methods can be considered, but in this embodiment, for example, one of the following methods is used.
(1) Reliability Evaluation Based on Calculation Conditions:
Reliability evaluation is performed based on calculation conditions for calculating bio-information. For example, when the patient is not in a recumbent state, that is, when the patient is leaving the bed or when the patient is in a sitting position, the patient state acquiring unit 600 determines that the reliability is low. When the bed is connected to an external device such as a bedsore prevention air mat or the like, it is determined that the reliability is low when the external device is generating vibration. That is, in order to evaluate reliability, a state determining means of determining the state of the patient is used.
(2) Reliability Evaluation in Bio-Information Calculation Process:
Reliability is evaluated in the process of calculating bio-information using various criteria. For example, reliability is evaluated to be low when the variation (standard deviation, variation coefficient, etc.) of expiration and inspiration or beat interval is large. Also, reliability is evaluated based on the magnitude and variation of the amplitude of the waveform after filtering. In other words, when there is variation in amplitude, reliability is evaluated to be low.
For example, heartbeat (respiratory) intervals within a short period of time are usually substantially equal. Therefore, when variations in heartbeat (respiratory) intervals are large, it is determined that there is undetection or false detection, and reliability is evaluated to be low.
When a plurality of sensors are provided, reliability is evaluated based on a difference in values calculated from the plurality sensors. That is, when there are large differences among the plurality of sensors, reliability is evaluated to be low.
Also, when bio-information is calculated by analyzing the periodicity of body motion data, it is possible to evaluate reliability from, for example, the degree of protrusion of peaks in the frequency spectrum and/or the variational of the detection values from the plurality of sensors.
(3) Reliability Evaluation of Calculated Respiratory Rate/Heart Rate:
When the calculated heart rate and respiratory rate greatly deviate from previously calculated values, reliability is evaluated to be low. Examples may include a case where a heart rate value that is greater than twice the value that has been calculated is calculated, a case where the respiratory rate fluctuate beyond its threshold and the like.
Further, an average of the calculated bio-information at the past several times (e.g., five times) may be calculated, and if the current value greatly deviates from the average, or when the inclination. (differential value) is steep, it is possible to determine that reliability is low. Further, the output reliability may be graded. When, for example, the current value of bio-information becomes greater than the twice (or smaller than the half) the previously calculated value of bio-information, reliability is evaluated to be considerably low. When, for example, the current value of bio-information falls within a range from 1.5 to 2 times (or ½ to ⅔ times) the previously calculated value of bio-information, reliability is evaluated to be a little low.
When the calculated heart rate and respiratory rate exceed predetermined threshold values or are less than the threshold values, reliability is determined to be low. For example, when the respiratory rate is 0 or 1, or when the heart rate exceeds 200, reliability is determined to be low. The threshold values may be set by the measurer or may be set according to the age and/or health condition of the patient.
In this way, when it is determined that reliability is low, the bin-information, i.e., the heart rate and the respiratory rate are not output (Step S108; No→Step S102). On the other hand, if it is determined that reliability is high, the heart rate and the respiratory rate are output (Step S108; Yes→Step S110). The destination to which the heart rate and respiratory rate are output may be displayed on a screen display as an example of the output unit 450, or may be displayed on another terminal (for example, a tablet, smartphone or the like). Further, the data may be transmitted to a server or a management apparatus or recorded on a recording medium. That is, the heart rate and the respiratory rate are output to any one of the apparatus, the recording medium, and the transmission destination.
It is determined at this stage whether there is an anomaly in the output heart rate and respiratory rate (Step S112). When it is determined that there is an anomaly, the anomaly is notified (Step S112; Yes→Step S114). Here, “presence of an anomaly” means a state needing a notification to be given to medical staffs, care workers, etc., including cases where the heart rate is higher than a predetermined threshold, where the respiratory rate is lower than a predetermined threshold, where unreliable calculation values have been given frequently in a predetermined interval, and the like.
[1.4 Screen Example]
At this time, if it is determined that the reliability of the heart rate is low, the heart rate is not displayed as shown in
[1.5 Effects]
Now, the effects when this embodiment is applied will be described. As an example, heart rate was measured for 20 subjects. Here, as the measurement condition, the measurement time per person was 2 hours 16 minutes on average and the total measurement time was 45 hours 27 minutes. Also, as the instruments for heart rate measurement, a sleeping SCAN (registered trademark) made by Paramount Bed. Co. Ltd., which is a non-wearing device that can detect heartbeat by detecting vibration and an electrocardiograph (ECG) that performs measurement with electrodes fitted to the patient body, were used.
Here, the coincidence ratio between the wearing type and the non-wearing type was 98.9% when all data was output regardless of reliability. The measurement ratio was 86.0% (39 hours 6 minutes). In contrast to this, when unreliable data was not output, the coincidence ratio between the wearing type and the non-wearing type was 99.3%. The measurement ratio was 84.9% (38 hours 36 minutes).
In the present study, data was determined to be unreliable when the variation coefficient of the variation in the heartbeat interval for each beat exceeded a certain threshold, specifically, when a variation from the average value of the heart rate every 5 seconds calculated at the last three times became equal to or greater than 40. This effect may seem to be ineffective, but can produce a good effect when it is considered that the heart rate with low reliability is highly likely to take an abnormal value (extremely too high value or too low value). Since this study was carried out in the recumbent state in the laboratory, a more enhanced effect can be expected because various noises that degrade reliability may be mixed in the actual hospital environment.
As described above, according to the present embodiment, the data to be displayed contains a high proportion of data with high accuracy. Therefore, when a staff or the like checks bio-information, it is possible to acquire the correct value. In addition, when a notifying process is performed based on bio-information (respiratory rate, heart rate, etc.), this configuration is effective since unnecessary notice will not be given based on unreliable bio-information.
Next, a second embodiment will be described. In the first embodiment, description has been made on the assumption that unreliable bio-information is not output. Description in the present embodiment, however, will be made on a case where output is performed even if the reliability is low.
That is, even if it is determined at Step S108 that there is no reliable data, the heart rate and the respiratory rate are output (Step S108→Step S110). That is, when the Step S108 is No, the processing returns to the Step S102. In this embodiment, however, the processing proceeds to the Step S110. At this time, reliability information which is information relating to the reliability determined on the output data is output together. For example, attaching a flag or attaching an additional indication enables the user to easily judge the reliability of the bio-information.
For example, “?” may be added to the heart rate and displayed, as shown in
As a result, the user can understand that the value of the heart rate is displayed in a “low reliability” state. Thus, according to the present embodiment, even if data that is determined to have low reliability is output, it is distinctively displayed that reliability is low, whereby the user can appropriately get hold of the patient state.
Further, the display may be changed depending on the reliability information. For example, it is possible to change the display method such that highly reliable bio-information is displayed in black, whereas low reliable bio-information is displayed in gray. Further, in the case where there are a plurality of reliability grades, information on reliability may also be given to the user by changing, for example, the color intensity, the brightness and the color temperature.
As for data with low reliability, it is also possible to perform such a process as not to execute a notifying operation, or not to record the data even if it displayed. More specifically, when it is determined that the data is not reliable at Step S108 (Step S106; No), in this embodiment the processing goes to Step S110. Then, the heart rate and the respiratory rate are output at Step S110, but by not executing the procedures at Step S112 and Step S114, it is possible to realize the process of not performing anomaly notification.
Subsequently, a third embodiment will be described. The third embodiment is a process of storing bio-information while determining reliability.
Specifically, as shown in
Here, in the reliability determination process (Step S106), reliability is determined based on the stored bio-information.
Here, Step S202 may be executed after Step S106 or in parallel with Step S106. In this case, the bio-information is stored for use in other processing, and the reliability determining means determines reliability based on the bio-information calculated at Step S104.
Although the embodiments of the present invention have been described in detail with reference to the drawings, the specific configuration should not be limited to the above embodiments. Designs and others that do not depart from the gist of the present invention should also be included in the scope of claims.
Note that the detection device 3 in the above-described embodiments may be one that is simply placed on the mattress 20 to detect the body motion of the patient P. In this case, the system can be realized simply by using, for example a smartphone or the like. That is, the present invention can take any form as long as it can determine the reliability of bio-information based on the biosignal finally obtained and the calculated bio-information.
Further, though description of the present embodiment has been made by using body motion as an example of a biosignal, for example, a temperature (to calculate the respiratory rate by measuring the temperature of nasal breathing), a blood flow (measuring pulses using the light absorption amount) and other biosignals may be used.
As the biosignal/bio-information, for example, signals such as an electroencephalogram, perspiration and the like can be used.
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| Number | Date | Country | |
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| Number | Date | Country | |
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| Parent | 15757484 | US | |
| Child | 17378035 | US |
