JP4792657B2 - Exercise intensity detector - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
  The present invention uses, for example, a pulse wave sensor that is small and excellent in portability and can be worn on a human body when performing sports or exercise therapy, and uses the pulse wave signal obtained by the pulse wave sensor to exercise strength.DegreeExercise intensity detection device that can detectIn placeIt is related.
[0002]
[Prior art]
Conventionally, as a method of detecting the state of human movement, the pulse rate during exercise is obtained using the Carbonnen equation, etc., and the exercise intensity is obtained from this pulse rate, or the lactate level in the blood is measured. Methods for determining exercise intensity are known.
[0003]
The Carbonnen's equation is a target pulse rate during exercise defined by the following equation (1), where the exercise intensity (K) is usually calculated as 40 to 50%.
Target heart rate during exercise =
{(220-age) -resting heart rate} × exercise intensity K + resting heart rate (1)
[0004]
[Problems to be solved by the invention]
However, in the case of the former method using the Carbonnen's formula, etc., there is a problem that the individual difference is large and the accuracy is low. In the case of the latter method using blood components, there is a problem that measurement during exercise is difficult due to the suffering of the measurement subject in order to collect blood.
[0005]
  The present invention has been made in order to solve the above-mentioned problems, and its purpose is to reduce the influence of individual differences such as physical condition and physical strength and to exercise with high accuracy using a pulse wave signal that can be easily measured even during exercise. strengthDegreeExercise intensity detector that can be obtainedPlaceIt is to provide.
[0006]
[Means for Solving the Problems and Effects of the Invention]
The present invention has been achieved by finding a relationship between exercise intensity and a pulse wave signal using a newly developed high-performance pulse wave meter (pulse wave sensor). In particular, as shown below, a large fluctuation such as a baseline of a pulse wave at the motion limit is a novel thing that is not known at all, and the present invention has been made based on these findings.
[0007]
  (1) In the exercise intensity detection device of the invention of claim 1, based on the pulse wave signal measured by the fluctuation detection means (for example, by a pulse wave sensor),It is the fluctuation of the pulse wave train consisting of many pulse wave signalsA fluctuation component indicating fluctuation of the pulse wave signal is detected, and the exercise intensity is obtained based on the fluctuation component of the pulse wave signal by the exercise intensity detecting means.
  For more information,As a fluctuation component of the pulse wave signal, a frequency component in a range of 0.05 to 0.2 Hz obtained by frequency analysis of the pulse wave signal is obtained, and exercise intensity is detected based on the frequency component.
[0008]
According to the study by the present inventors, as shown in FIG. 2 (a), as the exercise intensity increases, a low-frequency fluctuation of the pulse wave signal (in particular, increases after 11.5 min in the figure) appears. It has been elucidated.
This fluctuation of the pulse wave signal (and hence fluctuation component) is not a fluctuation of the pulse wave for each beat corresponding to the heartbeat, but a large number of pulse wave signals (pulse wave train signals) are more This signal is usually recognized as a signal having a frequency lower than that of each pulse wave. This fluctuation can be represented by, for example, a base line (pulse wave base line indicated by a broken line in the figure) that is the median value of the pulse wave signal, as shown in an enlarged view in FIG. This fluctuation is called MVW.
[0009]
  That is, as the exercise intensity increases, the fluctuation state of the pulse wave signal changes, and the exercise intensity can be obtained from the fluctuation using the relationship between the exercise state and the fluctuation state.
  Specifically, when a frequency analysis (for example, by FFT) of a pulse wave signal is performed, a characteristic peak is obtained within a range of 0.05 to 0.2 Hz. As will be described later, the intensity or power B indicating the degree of this peak has been found by studies by the present inventors to increase as the exercise intensity increases, as shown in FIG. Therefore, as a fluctuation component of the pulse wave signal, a frequency component in the range of 0.05 to 0.2 Hz obtained by frequency analysis of the pulse wave signal can be obtained, and the exercise intensity can be detected based on the frequency component..
  The fluctuation component is a value indicating the fluctuation state.The
[0011]
  (2Claim2In the invention, based on the fluctuation component, it is determined whether or not the exercise intensity has reached an exercise limit which is a limit of a dangerous exercise range.
  As shown in FIG. 2, when the exercise intensity increases, the fluctuation of the pulse wave signal increases. This fluctuation is considered to be caused by the movement of the blood vessel. In other words, it is considered that the adjustment of blood pressure has already reached the limit only by controlling the heart rate of the heart or has reached the limit of control of the heart. Therefore, for example, due to excessive fluctuations in the baseline, it can be considered that the exercise intensity has reached the exercise limit, which is the limit of the dangerous exercise range.
[0012]
  Therefore, in the present invention, it is possible to determine whether or not the exercise limit has been reached based on the exercise intensity detected based on the pulse wave signal.
  (3Claim3In this invention, the fluctuation component of the pulse wave signal baseline or envelope is used as the fluctuation component of the pulse wave signal.
[0013]
When grasping the fluctuation state of the pulse wave signal, the fluctuation component of the baseline of the pulse wave signal (the central value of the upper and lower peaks of each pulse wave: see the broken line in FIG. 2B) The fluctuation component of the envelope of the wave signal (the one connecting the peaks of each pulse wave: see the one-dot chain line in FIG. 2B) can be used.
[0014]
  The envelope includes an upper envelope connecting upper peaks and a lower envelope connecting lower peaks.
  (4Claim4In this invention, when the fluctuation component of the baseline or envelope of the pulse wave signal is equal to or greater than a predetermined determination value, it is determined that the exercise intensity has reached the exercise limit.
[0015]
For example, with reference to the fluctuation component of the baseline or envelope of the pulse wave signal at normal time (in a state of not exercising), a determination value indicating an exercise limit is set based on the reference value by experiments or the like.
Therefore, when the measured fluctuation component is equal to or greater than the determination value, it can be determined that the exercise limit MD has been reached. This exercise limit MD is a danger zone that exceeds the exercise load maximum (maximum load limit MC) that simply indicates the maximum exercise intensity.
[0016]
  (5Claim5In the present invention, the pulse wave signal is obtained by frequency analysis as a fluctuation component of the baseline or envelope of the pulse wave signal.0.05 to 0.2 Hz rangeThe intensity or power B of the predetermined frequency component (for example, a fluctuation component in the vicinity of 0.1 Hz) is obtained, and the exercise intensity is detected based on the change in the intensity or power B.
[0017]
  When frequency analysis of the pulse wave signal (for example, by FFT) is performed, the fluctuation component of the baseline or envelope is lower than each pulse wave.0.05-0.2HzA characteristic peak is obtained within the range of.
  As shown in FIG. 3, it has been found that the intensity or power B indicating the degree of peak increases as the exercise intensity increases, as shown in FIG. Therefore, the exercise intensity can be detected based on the intensity or power B.
[0018]
  (6Claim6In the invention, the exercise intensity is detected based on the ratio B / A of the intensity or power B of the frequency component indicating the fluctuation component and the intensity or power A of the frequency component indicating the pulse wave.
  As shown in FIG. 3, when the frequency analysis of the pulse wave signal is performed, a fluctuation component of the baseline or envelope and a peak corresponding to each pulse wave are obtained.
[0019]
According to the studies by the present inventors, the intensity or power B corresponding to the fluctuation component increases as the exercise intensity increases, and conversely, the intensity or power A corresponding to the pulse wave decreases relatively as the exercise intensity increases. I know it will be.
Therefore, the exercise intensity can be detected based on the ratio B / A between the intensity or power A corresponding to the pulse wave and the intensity or power B corresponding to the fluctuation component. For example, when the ratio B / A is reversed, it can be determined that the movement limit has been reached.
[0020]
  In the present invention, since B / A is used, the influence of individual differences in pulse waves can be reduced and exercise intensity can be detected with higher accuracy.
  (7Claim7In the present invention, the pulse wave signal is obtained by frequency analysis as a fluctuation component of the baseline or envelope of the pulse wave signal.0.05 to 0.2 Hz rangeThe predetermined frequency component is obtained, and the exercise intensity is detected based on the change in the distribution of the frequency component.
[0021]
  According to the studies by the present inventors, it has been found that the frequency component indicating the fluctuation component becomes a single frequency component as the exercise intensity increases. Therefore, the exercise intensity can be detected from the change in the frequency distribution of the frequency component indicating the fluctuation component.
  (8) The invention of claim 8 is based on the measured pulse wave signal, fluctuation detecting means for detecting a fluctuation component indicating fluctuation of the pulse wave signal, which is a fluctuation of the pulse wave train composed of a large number of pulse wave signals, An exercise intensity detection device comprising: an exercise intensity detection means for detecting exercise intensity based on a fluctuation component of a pulse wave signal, wherein an actual amplitude DB of the fluctuation component of the pulse wave signalAnd the ratio DB / DA of the heartbeat component of the pulse wave with the actual amplitude DABased on this, the exercise intensity is detected.
[0022]
According to the studies by the present inventors, it is known that the actual amplitude DB of the fluctuation component of the pulse wave signal increases as the exercise intensity increases. The actual amplitude DB is not the intensity of the fluctuation component peak obtained by frequency analysis, but is the amplitude DB of the fluctuation component of an actual signal sequence as shown in FIG. 2B, for example.
[0023]
Therefore, the exercise intensity can be detected by measuring the actual amplitude DB. In this case, since it is not necessary to perform frequency analysis of the pulse wave signal, the burden of calculation processing is reduced, and exercise intensity can be detected quickly.
In this case, the accuracy may be slightly lower than when the above-described frequency analysis such as FFT is performed, but it is practically sufficient and has the advantage that a calculation result can be obtained quickly. It is.
[0024]
  Moreover,In the present invention, since the ratio DB / DA of both amplitudes is used, it is possible to reduce the influence of individual differences in pulse waves, and to detect exercise intensity with higher accuracy.
[0025]
  Here, the actual amplitude DA of the heartbeat component of the pulse wave is not the intensity of the peak indicating the pulse wave by frequency analysis, but the actual amplitude DB of each individual pulse wave as shown in FIG. 2B, for example. InThe
[0032]
  (9Claim9In the present invention, when detecting the exercise intensity,Based on rate of change of pulse rate during exercise relative to pre-exercise pulse rateAdd conditions.
  As described above, fluctuation of pulse wave signalIn minutesAlthough the exercise intensity can be detected more, the pulse rate increases as the exercise intensity increases. Therefore, the accuracy of the detection of the exercise intensity can be further improved by making a judgment in consideration of the condition of the pulse rate. it can.
[0033]
  ExampleFor example, if the pulse rate during exercise is a predetermined multiple of the pulse rate before exercise, it is considered that the exercise intensity has increased, so by adding a condition based on the rate of change of this pulse rate, more accurate High exercise intensity can be detected.
[0034]
  (10Claim10In the invention, the detection result of the exercise intensity is notified. For example, notification is performed using light, sound, radio, or the like.
  Therefore, based on the notified result, exercise intensity can be weakened or stopped, and exercise can be performed safely in an optimal state.
[0041]
In addition, when detecting a pulse wave using a pulse wave sensor, the arm (wrist, upper arm), forehead, temple, etc. are excellent in wearability as the measurement site, and the fluctuation component is suitably detected. can do
[0042]
DETAILED DESCRIPTION OF THE INVENTION
  Next, the exercise intensity detection device of the present inventionSetAn example (example) of the embodiment will be described with reference to the drawings.
(Example 1)
  a) First, the basic configuration of the exercise intensity detection device of the present embodiment will be described with reference to FIG.
[0043]
As shown in FIG. 1, the exercise intensity detection device according to the present embodiment is based on a pulse wave sensor 1 used by being attached to a human body such as a finger or a wrist, and a measurement result output from the pulse wave sensor 1. A data processing device 3 that measures a pulse wave and performs processing related to exercise intensity based on the pulse signal is provided. The place where the pulse wave sensor 1 is attached is preferably a finger, wrist, arm, forehead, temple, shin or the like.
[0044]
The pulse wave sensor 1 includes a light emitting element (for example, a light emitting diode: LED) 5, a drive circuit 7 thereof, a light receiving element (for example, a photodiode: PD) 9, and a transparent window 11 through which light passes. This is an optical reflection type sensor.
In this pulse wave sensor 1, when light is emitted from the light emitting element 5 toward the human body, a part of the light hits the capillary artery passing through the inside of the human body and is absorbed by hemoglobin in the blood flowing through the capillary artery, and remains. Is reflected and scattered by the capillary artery, and a part of the light enters the light receiving element 9. At this time, since the amount of hemoglobin in the capillary artery changes in a wave manner due to blood pulsation, the light absorbed in the hemoglobin also changes in a wave manner. As a result, the amount of received light reflected by the capillary artery and detected by the light receiving element 9 changes, and the change in the amount of received light is output to the data processing device 3 as pulse wave information (for example, a voltage signal).
[0045]
On the other hand, the data processing device 3 includes a detection circuit 13, an ADC (AD converter) 15, and a microcomputer 17, an input unit 19 for inputting data (by a manual or the like), a detection result, and the like. And a display unit 21 for displaying.
[0046]
Among these, the detection circuit 13 amplifies the voltage signal obtained from the pulse wave sensor 1, and the ADC 15 converts the analog signal, which is the voltage signal obtained from the detection circuit 13, into a digital signal.
The microcomputer 17 is an electronic circuit including a known CPU, ROM, RAM, and the like, and stores a program for processing a digital signal obtained from the ADC 15. That is, a program based on an algorithm for measuring a pulse wave signal detected by the pulse wave sensor 1 and detecting exercise intensity is incorporated.
[0047]
  b) Next, the principle and procedure for detecting the exercise intensity will be described.
  <1><Use of pulse signal baseline or envelope fluctuation>
-According to the study by the present inventors, it is known that fluctuations of the pulse wave signal (for example, fluctuations of the baseline or envelope of the pulse wave signal) occur as the exercise intensity increases.
[0048]
It is considered that fluctuations such as baselines (and therefore fluctuation components indicating fluctuations) are caused by the movement of blood vessels, and this is because the adjustment of blood pressure has already reached the limit only by heart rate control of the heart, or the control limit of the heart It is thought that it became.
FIG. 2 shows an example of the actually measured value. As the exercise intensity increases (in this case, the duration elapses), a pulse wave signal (pulse wave train) which is a wave much larger than the pulse wave corresponding to each heartbeat. It can be seen that fluctuations in the base line of the signal (i.e. signal), that is, fluctuation components having a lower frequency than each pulse wave are generated. Similarly, it can be seen that envelope fluctuations also occur. 2B is an enlarged view of a part of FIG.
[0049]
Therefore, the fluctuation component such as the baseline of the pulse wave signal indicates whether or not the danger level during exercise, that is, the exercise intensity has reached the exercise limit MD which is the limit of the dangerous exercise range. By obtaining the component as data indicating exercise intensity, it is possible to warn or prevent an occurrence of a seizure or the like.
[0050]
  In addition, the frequency (fluctuation component) which shows the said fluctuation | variation is the range of 0.05-0.2 Hz below 0.25 Hz.At the inneris there.
  Specifically, when a frequency analysis is performed on the pulse wave signal (for example, by FFT), as shown in FIG. 3, the fluctuation component of the base line or the envelope and the peak of the component corresponding to each pulse wave are obtained. . 3A shows data at rest, and FIG. 3B shows data at limit exercise.
[0051]
The intensity or power B corresponding to the fluctuation component such as the baseline increases as the exercise intensity increases, and conversely, the intensity or power A corresponding to the pulse wave decreases relatively as the exercise intensity increases.
The intensity or power is generally a value (a value indicating the magnitude of the frequency component) obtained by frequency analysis (FFT), and the square of the intensity (I: Indentity) is the power (P). is there.
[0052]
  Therefore, the exercise intensity can be detected based on the ratio B / A between the intensity or power A corresponding to the pulse wave and the intensity or power B corresponding to the fluctuation component. For example, when the ratio B / A is reversed, it can be determined that the movement limit MD has been reached.
  <2><Use of fluctuation of pulse interval>
  FIG. 4A shows the pulse wave signal measured by the pulse wave sensor 1, and it can be seen that the peak of the pulse wave corresponding to each heartbeat is output at almost predetermined intervals.
[0053]
FIG. 4B shows the time interval (m), which is the pulse interval, for example, the interval between the peak of the pulse wave and the peak of the pulse wave (which may be a rising or falling interval) arranged as time series data ( Pulse wave interval signal), that is, the pulse interval in the elapsed time from the start of measurement is taken on the vertical axis.
[0054]
  From this FIG.<1>It can be seen that the time-series data of the pulse interval swells up and down, that is, the pulse interval fluctuates, like the baseline of the pulse wave signal (not the pulse interval).
  Therefore, for example, a frequency analysis by a well-known FFT is performed on the time series data of the pulse interval, and a component in the frequency band of 0.15 to 0.45 Hz is extracted as a pulse interval fluctuation component (HF component). In addition, as a method of extracting the frequency component of this band, it can be performed using, for example, a band pass filter such as software or hardware.
[0055]
Since there is a phenomenon that the HF component showing this fluctuation decreases as the exercise intensity increases, the exercise intensity can be obtained from the change of the HF component.
That is, FIG. 5 shows the average pulse interval fluctuation amount (change over time) of 0.15 to 0.45 Hz, but the average value of the HF component of the fluctuation for the first 3 minutes after starting the preparatory gymnastic exercise or light exercise is the MA point. Assuming that 50% of the MA point is the MB point, this MB point substantially corresponds to the limit of aerobic exercise (appropriate exercise limit).
[0056]
The average pulse interval fluctuation amount of 0.15 to 0.45 Hz shown in FIG. 5 is 0.15 to 0.45 based on the result of frequency analysis using, for example, a well-known FFT (at a predetermined time Δt) with respect to the pulse interval. The integral value (HF component shown by the oblique line in FIG. 6) of the power of the frequency component between 45 Hz is obtained, and this integral value is plotted with the elapsed time. That is, FIG. 5 shows how the HF component indicating fluctuation varies depending on the exercise intensity.
[0057]
Therefore, the region up to the MB point is an appropriate exercise region, and when the MB point is exceeded, it can be regarded as an anoxic exercise region outside the appropriate range.
If the MC point is 10% of the MA point, this MC point can be regarded as a maximum load state in which the pulse cannot be raised any more.
[0058]
Therefore, when the HF component is reduced beyond the MB point (that is, beyond the appropriate range), it is preferable to prompt the user to reduce or stop exercise intensity, particularly the MC point. If so, it is a critical condition, so that is warned. Further, when the above-mentioned B / A exceeds a predetermined value (preliminarily set as a value indicating danger), a pause of exercise is immediately warned as danger.
[0059]
c) Next, the control process of the present embodiment performed according to the principle and procedure described above, that is, the process for detecting the exercise intensity during exercise will be described based on the flowchart of FIG.
As shown in FIG. 7, first, when the exercise is started, measurement of the pulse wave is started in step (S) 100. Specifically, the signal from the pulse wave sensor 1 is taken into the data processing device 3 and converted into a digital signal, which is then input to the microcomputer 17.
[0060]
In the following step 110, the pulse wave number is obtained from the signal (pulse wave signal) from the pulse wave sensor 1 (digitally converted). Further, frequency analysis such as FFT is performed on the pulse interval data, and an HF component which is a pulse interval fluctuation component is obtained.
In the following step 120, the pulse rate and the HF component obtained in step 110 are displayed on the display unit 21.
[0061]
In the following step 130, it is determined whether or not the HF component is in an appropriate range (within an appropriate exercise range that does not reach the appropriate exercise limit MB). For example, it is determined whether or not the HF component has reached an MB indicating an appropriate exercise limit. If an affirmative determination is made here, the process proceeds to step 140, while if a negative determination is made, the process proceeds to step 150. Furthermore, it may be determined whether or not the HF component has reached the MC indicating the maximum load limit.
[0062]
In step 130, when determining the appropriate exercise limit MB or determining the maximum load limit MC, the determination is performed in consideration of the pulse rate in order to increase the accuracy of the determination. For example, the rate of change of the pulse rate at the time of the current measurement (during exercise) with respect to the pulse rate at rest (before exercise) is obtained, and when this rate of change exceeds a predetermined value, the above-described determination is appropriate. And
[0063]
In step 150, since it is determined that it is out of the proper exercise range in step 130, it is displayed on the display unit 21 that it is out of the proper exercise range. Further, when the HF component reaches the MC point indicating the maximum load limit, this may be displayed.
In the subsequent step 160, the fact that the input target exercise intensity is outside the appropriate exercise range is notified by an alarm, and the process proceeds to step 210. Further, when the HF component reaches the MC point indicating the maximum load limit, the alarm sound may be changed and notified.
[0064]
  On the other hand, in step 140, it is already determined that it is within the appropriate exercise range, but MVW is detected in order to detect the exercise intensity more accurately.
  This MVW is the above<1>The fluctuation component of the baseline (or envelope). Specifically, it is a fluctuation component within a range of 0.1 to 0.25 Hz obtained by frequency analysis of the pulse wave signal.
[0065]
Here, as a value indicating MVW, for example, as shown in FIG. 3, the ratio B of the fluctuation component power or power B of the baseline (which is each peak obtained by frequency analysis) and the pulse wave intensity or power A Find / A.
In the following step 170, it is determined whether or not MVW has occurred. That is, it is determined whether or not a value indicating that the exercise limit MD, which is a dangerous area, has been reached is detected.
[0066]
For example, depending on how many times the ratio B / A of the fluctuation component or power B to the pulse wave intensity or power A of the baseline fluctuation at the time of the current exercise increases with respect to the B / A at rest It is determined whether or not the limit MD has been reached. If an affirmative determination is made here, the process proceeds to step 180, whereas if a negative determination is made, the process proceeds to step 190.
[0067]
Further, in this step 170, when determining the exercise limit MD, in order to increase the accuracy of the determination, the determination is made in consideration of the pulse rate. For example, it is assumed that the rate of change of the pulse rate at the time of the current measurement with respect to the pulse rate at the normal time is obtained, and the above-described determination is appropriate when the rate of change becomes a predetermined value or more.
[0068]
In step 190, since MVW has occurred, it is displayed that a dangerous motion state of motion limit MD has been reached.
In the following step 200, the fact that the exercise limit MD has been reached is notified by an alarm, and the process proceeds to step 210.
[0069]
On the other hand, in step 180, since it is determined in step 130 that it is within the appropriate exercise range and in step 170 it is determined that it is not the exercise limit MD, it is displayed that it is within the appropriate exercise range. Displayed on the unit 21.
In the following step 210, it is determined whether or not to continue the exercise based on a signal input from the input unit 19 by manual operation (human operation). If an affirmative determination is made here, the process returns to step 110, whereas if a negative determination is made, the process proceeds to step 220.
[0070]
In step 220, the pulse wave measurement is terminated and the present process is temporarily terminated.
Therefore, by the above-described processing, exercise intensity can be detected with high accuracy, and appropriate display and instructions can be given to a person who is exercising.
d) Next, a calibration method in the exercise intensity detection device of the present embodiment will be described based on the flowchart of FIG.
[0071]
As shown in FIG. 8, in step 300, personal data such as the age, sex, and weight of the person performing the exercise is input using the input unit 19 and the like.
In the subsequent step 310, an exercise menu is selected. For example, if “1: health promotion” is selected, the exercise intensity is set to 30% (that is, 30% of the maximum exercise load) in step 320. On the other hand, if “2: Strength enhancement” is selected, the exercise intensity is set to 50% (50% of the maximum exercise load) in step 330.
[0072]
Here, the exercise load maximum (MC) is considered to be the control limit of the heart of the person. If the circulatory system reaches the limit by applying a load exceeding this state or maintaining this state for a long time, it is the movement limit (MD) that the blood vessel rampages and is considered to have entered a dangerous state .
[0073]
In the following step 340, the pulse wave at rest is measured.
In the following step 350, the warm-up is started.
In the following step 360, measurement of pulse waves during exercise is started.
In the following step 370, the pulse wave number and the HF component are calculated.
[0074]
Specifically, the pulse rate and the HF component are obtained at rest and during warm-up (preparation exercise or light exercise).
In the following step 390, the pulse rate during exercise and the range of the HF component are determined.
Specifically, based on the input information about personal data and what kind of exercise you want to do, the warming-up data and the resting data are used to determine the degree of increase in pulse wave number and the slope of the HF component. The pulse rate and the HF component amount at the target load corresponding to the person's individual cardiopulmonary function are determined.
[0075]
In the following step 400, it is determined whether there is an error due to, for example, a switch operation error. Here, if “Yes”, the process proceeds to Step 410, while if “No”, the process proceeds to Step 420.
In step 410, the occurrence of an error is displayed on the display unit 21, and the process returns to step 340.
[0076]
On the other hand, in step 420, the warm-up is ended and the present process is temporarily ended.
With this process, it is possible to determine an appropriate range of the pulse rate and HF component during exercise corresponding to the purpose of each individual.
[0077]
e) As described above, in this embodiment, the pulse wave sensor 1 measures the pulse wave of a person performing exercise, performs frequency analysis of the pulse interval, calculates the pulse interval fluctuation component (HF component), and calculates the HF component. Based on the above, it is determined whether or not the exercise intensity is within an appropriate exercise range.
As a result, it can be determined whether or not the exercise is within the appropriate exercise range (within the appropriate exercise limit MB) during exercise. If the exercise is not within the proper exercise range, the exercise can be stopped by notifying the fact. By loosening, it is possible to always perform optimal exercise.
[0078]
Furthermore, even when the exercise intensity reaches the maximum load limit MC, it can be notified, so that exercise can be performed safely.
In particular, in this embodiment, during exercise, frequency analysis is performed on the pulse wave signal to obtain a fluctuation component of the above-described pulse wave baseline (or envelope), and the exercise intensity is dangerous based on the fluctuation component. It is determined whether or not the exercise limit MD indicating the state is reached.
[0079]
As a result, it is understood that the exercise intensity is in a dangerous state. When the exercise intensity reaches the exercise limit MD, by informing that effect, the exercise can be safely stopped. It can be carried out.
Further, in this embodiment, the determination of the exercise range (appropriate exercise limit MB, maximum load limit MC) and the exercise limit MD are performed in consideration of the pulse rate, so that the determination with high accuracy can be performed. There is an advantage.
[0080]
Furthermore, in this embodiment, since the intensity / power ratio B / A is used in determining the occurrence of MVW, the influence of individual differences in pulse waves can be reduced, and the exercise intensity can be detected with higher accuracy. There is also an effect that can be done.
(Example 2)
Next, the second embodiment will be described, but the description of the same parts as the first embodiment will be omitted.
[0081]
According to the study by the present inventors, it has been found that the frequency indicating the fluctuation component of the pulse wave baseline or envelope (obtained by frequency analysis) becomes a single frequency as the exercise intensity increases. Therefore, the exercise intensity can be detected from the change in frequency distribution indicating the fluctuation component.
[0082]
For example, when the frequency component indicating the fluctuation component of the baseline of the pulse wave is monitored and the frequency component becomes a single component equal to or greater than a predetermined determination value, it can be determined that the exercise limit MD has been reached.
In this case, for example, the process of step 140 in the flowchart of FIG. 7 of the first embodiment is changed to a process of detecting a frequency component indicating the fluctuation component of the baseline of the pulse wave, and the process of step 150 is This can be realized by changing to a process for determining whether or not a single component is equal to or greater than a predetermined determination value.
[0083]
Also in the present embodiment, the same effects as in the first embodiment can be obtained.
Example 3
Next, the third embodiment will be described, but the description of the same parts as the first embodiment will be omitted.
[0084]
According to the study by the present inventors, when the exercise intensity increases, as shown in FIG. 2, the actual amplitude DB (when frequency analysis is not performed) of the fluctuation component of the pulse wave signal is increased. . Therefore, the exercise intensity can be detected from the actual amplitude DB.
[0085]
For example, an actual amplitude DB of the baseline of the pulse wave is obtained, an amplitude ratio DB / DA between the amplitude DB and an actual amplitude DA of the pulse wave (for example, an average value for several) is obtained, and the amplitude ratio DB / When DA is equal to or greater than a predetermined determination value, it can be determined that the exercise limit MD has been reached.
[0086]
In this case, for example, the process of step 140 in the flowchart of FIG. 7 of the first embodiment is performed to obtain the amplitude ratio DB / DA between the actual amplitude DB of the pulse wave base line and the actual amplitude DA of the pulse wave. The processing in step 150 can be realized by changing the amplitude ratio DB / DA to a processing for determining whether or not the amplitude ratio DB / DA has become higher than a predetermined determination value.
[0087]
In addition, as a method for obtaining the actual amplitude DB of the baseline of the pulse wave, the interval between the upper peak and the lower peak of the baseline may be obtained after calculating the baseline from the median value of each pulse wave.
This embodiment has the same effect as the first embodiment, and in particular, since it is not necessary to perform frequency analysis of the pulse wave signal, the burden of calculation processing is reduced, and exercise intensity can be detected quickly during exercise. There is an advantage that can be done.
[0088]
Further, in this embodiment, since the amplitude ratio DB / DA is used for the determination, it is possible to reduce the influence of the individual difference of the pulse wave and to detect the exercise intensity with higher accuracy.
(Example 4)
Next, although Example 4 is demonstrated, description of the location similar to the said Example 1 is abbreviate | omitted.
[0089]
The present embodiment is an example in which the method for detecting exercise intensity in each of the above embodiments is applied to the detection of the environmental load of the biological load detection device.
Specifically, for example, when bathing an elderly person or a sick person, the pulse wave of the measurement subject is detected, and using the pulse wave, the pulse interval fluctuation component or the fluctuation component of the baseline (or envelope) of the pulse wave signal is used. In the same manner as the method for detecting exercise intensity, it is possible to detect an environmental load (that is, a load applied to the measurement subject from outside).
[0090]
That is, it is possible to detect the environmental load by a similar method by regarding the exercise load as the environmental load.
Therefore, for example, when the exercise load (environmental load) reaches the exercise limit (environmental load limit), by notifying that fact, it is possible to detect seizures caused by overloading the circulatory system during bathing, or to detect abnormalities in the heart. (Heart failure, etc.) can be predicted.
[0091]
Needless to say, the present invention is not limited to the above-described embodiments, and can be implemented in various modes without departing from the scope of the present invention.
(1) For example, in the above-described embodiment, the exercise intensity detection device or the biological load detection device has been described. However, the present invention is not limited thereto, and stores a program for executing processing based on the above-described algorithm and the program. It can also be applied to existing recording media.
[0092]
The recording medium includes an electronic control unit configured as a microcomputer, a microchip, and a floppy disk.(Registered trademark)And various recording media such as a hard disk and an optical disk. That is, there is no particular limitation as long as it stores a program that can execute the processing of the exercise intensity detection device and the biological load detection device described above.
[0093]
The program is not limited to a program stored in a recording medium, but can be applied to a program transmitted / received through a communication line such as the Internet.
(2) In addition, the exercise intensity detection device and the biological load detection device can obtain not only the signal obtained from the pulse wave sensor directly from the pulse wave sensor but also the signal obtained from the pulse wave sensor. It is also possible to apply the received data to a device such as a personal computer and send the data to a remote data processing device using, for example, the Internet to determine exercise intensity or biological load. it can.
[Brief description of the drawings]
FIG. 1 is an explanatory diagram illustrating an outline of an exercise intensity detection device according to a first embodiment.
FIG. 2 shows a pulse wave signal, (a) is a graph showing the pulse wave signal, and (b) is an enlarged graph showing a part of the pulse wave signal of (a).
FIG. 3 shows the result of frequency analysis of a pulse wave signal, where (a) is a graph showing frequency components at rest, and (b) is a graph showing frequency components during limit load exercise.
FIG. 4 shows a pulse wave signal, (a) is a graph showing a pulse wave waveform, and (b) is a graph showing time-series data of pulse intervals.
FIG. 5 is a graph showing a pulse wave interval fluctuation amount;
FIG. 6 is an explanatory diagram showing an HF component of a pulse wave signal.
FIG. 7 is a flowchart illustrating processing for detecting exercise intensity according to the first embodiment.
FIG. 8 is a flowchart illustrating a calibration method according to the first exemplary embodiment.
[Explanation of symbols]
1 ... Pulse wave sensor
3. Data processing device
5. Light emitting element
9. Light receiving element
17 ... Microcomputer
19 ... Display section
20 ... Display section

Claims (10)

Based on the measured pulse wave signal, fluctuation detecting means for detecting a fluctuation component indicating fluctuation of the pulse wave signal, which is a fluctuation of the pulse wave train composed of a large number of pulse wave signals,
Based on the fluctuation component of the pulse wave signal, and the exercise intensity detecting means for detecting the exercise intensity,
An exercise intensity detection device comprising:
As a fluctuation component of the pulse wave signal, a frequency component in a range of 0.05 to 0.2 Hz obtained by frequency analysis of the pulse wave signal is obtained, and the exercise intensity is detected based on the frequency component. Exercise intensity detection device.   2. The exercise intensity detection device according to claim 1, wherein it is determined whether or not the exercise intensity has reached an exercise limit, which is a limit of a dangerous exercise range, based on the fluctuation component.   The exercise intensity detection device according to claim 1 or 2, wherein a fluctuation component of a baseline or envelope of a pulse wave signal is used as the fluctuation component of the pulse wave signal.   4. The apparatus according to claim 3, wherein when the fluctuation component of the baseline or envelope of the pulse wave signal is equal to or greater than a predetermined determination value, it is determined that the exercise intensity has reached the exercise limit. Exercise intensity detection device.   As the fluctuation component of the baseline or envelope of the pulse wave signal, the pulse wave signal is subjected to frequency analysis to obtain the intensity or power B of a predetermined frequency component in the range of 0.05 to 0.2 Hz. 5. The exercise intensity detection device according to claim 3, wherein the exercise intensity is detected based on a change.   6. The motion intensity is detected based on a ratio B / A between the intensity or power B of the frequency component indicating the fluctuation component and the intensity or power A of the frequency component indicating the pulse wave. The exercise intensity detection device described in 1.   The exercise intensity according to claim 3 or 4, wherein the exercise intensity is detected based on a change in a distribution of frequency components in a range of 0.05 to 0.2 Hz obtained by frequency analysis of the pulse wave signal. Detection device. Based on the measured pulse wave signal, fluctuation detecting means for detecting a fluctuation component indicating fluctuation of the pulse wave signal, which is a fluctuation of the pulse wave train composed of a large number of pulse wave signals,
Based on the fluctuation component of the pulse wave signal, and the exercise intensity detecting means for detecting the exercise intensity,
An exercise intensity detection device comprising:
An exercise intensity detection device that detects the exercise intensity based on a ratio DB / DA of an actual amplitude DB of a fluctuation component of the pulse wave signal and an actual amplitude DA of a heartbeat component of the pulse wave. . The exercise intensity according to any one of claims 1 to 8 , wherein a condition based on a rate of change of a pulse rate during exercise with respect to a pulse rate before exercise is added when the exercise intensity is detected. Detection device. Exercise intensity detecting device according to any one of the preceding claims 1-9, characterized by notifying the detection result of the exercise intensity.

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