JP2019058211A - Optimum exercise intensity determination device and optimum exercise intensity determination method - Google Patents

Abstract

To provide an inexpensive and accurate optimum exercise intensity determination device.SOLUTION: An optimum exercise intensity determination device includes: a contraction time detection part for detecting a contraction time of the ventricle of a measurement object person based on measurement data, which is at least one of cardiac sound data and electrocardiographic data on the measurement object person measured in load testing; a heartbeat time detection part for detecting one heartbeat time of the measurement object person based on the measurement data; and an optimum exercise intensity determination part for determining the optimum exercise intensity of the measurement object person based on a contraction time ratio, which is a ratio of the contraction time detected by the contraction time detection part to the one heartbeat time detected by the heartbeat time detection part, and an exercise load applied to the measurement object person in the load testing.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an optimal exercise intensity determination device and an optimal exercise intensity determination method.

In recent years, the effects of exercise in maintaining and improving health have been clarified in many clinical studies, and exercise therapy has come to be implemented as a method for treating lifestyle-related diseases such as diabetes and heart disease. The center of exercise therapy is aerobic exercise such as walking and cycling, but in order to perform aerobic exercise more safely and effectively, the exercise intensity optimum for each individual (hereinafter referred to as “optimum exercise intensity” It is important to examine and exercise at its optimal exercise intensity.
Here, as a method of measuring the optimum exercise intensity, a CPX test (cardio-pulmonary exercise test) in which exhalation gas is collected and analyzed while exercised gradually to the measurement subject is general. In the CPX test, the exercise intensity (AT point) near the boundary between the aerobic exercise and the anoxic exercise is determined from the oxygen intake and carbon dioxide output obtained by the exhalation gas analysis to obtain the optimal exercise intensity.

  However, the CPX test imposes a large physical burden on the person to be measured, and also has problems such as high cost of the test apparatus and limited facilities that can be implemented. Therefore, some optimal exercise intensity determination devices for realizing the measurement of the optimal exercise intensity more simply and inexpensively have been proposed (see, for example, Patent Document 1). The optimal exercise intensity determination device described in Patent Document 1 measures and measures heart sound data and electrocardiogram data of a measurement subject while giving a lamp load to increase the exercise intensity at a constant rate with time. Amplitude and heart rate of heart sound in heart sound form are detected for each exercise intensity from heart sound data and electrocardiogram data, and the amplitude and heart rate of the detected sound I are converted to ratios with resting values respectively and then multiplied. Calculate the double product together. Then, the relationship between the calculated double product and the exercise intensity is approximated by a curve, and the exercise intensity at which the approximated curve is bent is taken as the optimum exercise intensity.

Patent No. 5526421 gazette

However, in the optimum exercise intensity determination device described in Patent Document 1, the amplitude of the sound I (heart sound) used to determine the optimum exercise intensity is easily affected by peripheral noise and noise due to motion during exercise. For example, when the measurement is performed in a noisy environment or when the movement of the measurement subject is large, it is difficult to accurately measure the heart sound amplitude, and the accuracy of the optimal exercise intensity may be reduced.
The present invention focuses on the above-mentioned problems, and an object of the present invention is to provide an inexpensive and more accurate optimal exercise intensity determination device and an optimal exercise intensity determination method.

  In order to solve the above-mentioned subject, one mode of the present invention is (a) based on measurement data which is at least one of heart sound data and electrocardiogram data of a measurement subject measured at the time of a stress test. (B) a contraction time detection unit for detecting one heartbeat time of a measurement subject based on (b) measurement data; (c) contraction time and heartbeat detected by (c) contraction time detection unit Optimal exercise to determine the optimal exercise intensity of the subject based on the contraction time ratio, which is the ratio to the one heartbeat time detected by the time detection unit, and the exercise load given to the subject at the time of the stress test The gist is that the apparatus is an optimal exercise intensity determination device including an intensity determination unit.

  Moreover, the other aspect of this invention detects the diastolic time of a measurement subject's ventricle based on the measurement data which are at least one of the heart sound data and the electrocardiogram data of the measurement subject measured at the time of a stress test. (B) Heartbeat time detection unit for detecting one heartbeat time of a measurement subject based on measurement data; (c) detection time for expansion time and heartbeat time detection unit detected by the extension time detection unit An optimal exercise intensity determination unit that determines an optimal exercise intensity of the subject based on an extended time ratio that is a ratio to the one heartbeat time and the exercise load given to the subject at the time of the stress test; The gist is that the apparatus is an optimal exercise intensity determination device comprising

  Moreover, the other aspect of this invention detects the contraction time of a measurement subject's ventricle based on the measurement data which are at least one of the heart sound data and the electrocardiogram data of the measurement subject measured at the time of a stress test. The contraction time detection unit; (b) an expansion time detection unit that detects the expansion time of the ventricle of the measurement subject based on the measurement data; (c) the contraction time and the expansion time detection unit detected by the contraction time detection unit Optimal exercise intensity determination unit that determines the optimal exercise intensity of the subject based on the ratio of contraction to dilation time, which is the ratio to the detected dilation time, and the exercise load given to the subject during the stress test The gist of the present invention is an optimum exercise intensity determination device comprising

  Further, according to another aspect of the present invention, a contraction time of a ventricle of a measurement subject is detected based on measurement data that is at least one of heart sound data and electrocardiogram data of the measurement subject measured during (a) stress test. (B) Based on the measurement data, one heartbeat time of the subject was detected, and (c) contraction time ratio which is a ratio of contraction time to one heartbeat time, and was given to the subject at the time of stress test The gist is that the method is an optimal exercise intensity determination method of determining an optimal exercise intensity of a subject based on exercise load.

  Further, according to another aspect of the present invention, the expansion time of the ventricle of the subject is measured based on measurement data that is at least one of heart sound data and electrocardiogram data of the subject measured at the time of (a) stress test. (B) Based on the measurement data, one heartbeat time of the subject was detected, and (c) the extension time ratio, which is the ratio of the extension time to the one heartbeat time, was given to the subject during the stress test The gist is that the method is an optimal exercise intensity determination method of determining an optimal exercise intensity of a subject based on exercise load.

  Further, according to another aspect of the present invention, a contraction time of a ventricle of a measurement subject is detected based on measurement data that is at least one of heart sound data and electrocardiogram data of the measurement subject measured during (a) stress test. (B) Based on the measurement data, detect the dilation time of the measurement subject's ventricle, and (c) give the contraction / expansion time ratio, which is the ratio of contraction time to dilation time, to the measurement subject at the time of stress test. The gist is that the method is an optimal exercise intensity determination method for determining the optimal exercise intensity of the subject based on the exercise load.

The inventor of the present invention has conducted a large number of experiments and found that the contraction time ratio, the expansion time ratio, and the contraction to expansion time ratio increase or decrease depending on the exercise load (exercise intensity) given to the subject. . Then, based on such findings, the inventor of the present invention has invented the present invention for determining the optimal load strength using the contraction time ratio, the expansion time ratio and the contraction to expansion time ratio.
According to the present invention, in order to determine the optimal exercise intensity using temporal information of heart sound data, for example, compared with the method of determining the optimal exercise intensity using cardiac sound data and amplitude information of the electrocardiogram data, It is not susceptible to noise or noise caused by body movement during exercise. Moreover, heart sound data and electrocardiogram data can be measured by simple and inexpensive hardware. Therefore, it is possible to provide an inexpensive and more accurate optimal exercise intensity determination device and an optimal exercise intensity determination method.

It is a block diagram which shows an example of an internal structure of the optimal exercise intensity determination apparatus which concerns on 1st Embodiment of this invention. It is sectional drawing which shows the internal structure of the heart. It is sectional drawing which shows the stimulation conduction system of the heart. It is a figure which shows an example of an echocardiographic form and an electrocardiogram waveform for 2 heartbeats, (a) is a phonocardiogram which shows an echocardiographic form, (b) is an electrocardiogram which shows an electrocardiogram waveform. It is a block diagram which shows an example of an internal structure of an optimal exercise intensity detection part. It is a figure for demonstrating the determination method of the optimal exercise intensity, (a) is a graph which shows an example of the relationship between the contraction time ratio and exercise intensity when a lamp load is given, (b) In the graph of (a), it is a graph which shows the determination method of the optimal exercise intensity at the time of setting a reference value to 15 [%]. It is a scatter diagram which showed the relationship between the optimal exercise intensity calculated | required from the contraction time ratio, and the optimal exercise intensity (AT point exercise intensity) calculated | required by the conventional CPX test | inspection. It is a block diagram which shows an example of an internal structure of the optimal exercise intensity detection part which concerns on 2nd Embodiment of this invention. It is a figure for demonstrating the determination method of the optimal exercise intensity, and (a) is a graph which shows an example of the relationship between the expansion time ratio and exercise intensity when the lamp load is given, (b) In the graph of (a), it is a graph which shows the determination method of the optimal exercise intensity at the time of setting a reference value to 50 [%]. It is a scatter diagram which showed the relationship between the optimal exercise intensity calculated | required from the expansion time ratio, and the optimal exercise intensity (AT point exercise intensity) calculated | required by the conventional CPX test | inspection. It is a block diagram which shows an example of an internal structure of the optimal exercise intensity detection part which concerns on 3rd Embodiment of this invention. It is a figure for demonstrating the determination method of the optimal exercise intensity, and (a) is a graph which shows an example of the relationship of contraction time-expansion time ratio and exercise intensity when a lamp load is given, (b 2.) is a graph which shows the determination method of the optimal exercise intensity at the time of setting a reference value to 130 [%] in the graph of (a). It is a scatter diagram which showed the relationship between the optimal exercise intensity calculated | required from contraction-expansion time ratio, and the optimal exercise intensity (AT point exercise intensity) calculated | required by the conventional CPX test. It is a block diagram which shows an example of the hardware constitutions of the optimal exercise intensity determination apparatus which concerns on 1st-3rd embodiment of this invention. It is a block diagram which shows an example of an internal structure of a signal processing terminal. It is a block diagram which shows another example of the hardware constitutions of the optimal exercise intensity determination apparatus which concerns on 1st-3rd embodiment of this invention. It is a block diagram which shows another example of an internal structure of a signal processing terminal.

Hereinafter, the optimal exercise intensity determination device and the optimal exercise intensity determination method according to the first to third embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals, and substantially the same configurations and the like in the description of the optimal exercise intensity determination device and the like according to the first to third embodiments. I will omit duplicate explanations for.
The optimal exercise intensity determination device and the optimal exercise intensity determination method according to the first to third embodiments of the present invention provide an exercise load to a measurement subject, and a load for measuring heart sound data and electrocardiographic data of the measurement subject. The test is performed to determine the optimum exercise intensity of the subject based on the heart sound data and the electrocardiogram data measured at the time of the stress test and the exercise load given to the subject.

  The first to third embodiments described below illustrate apparatuses and methods for embodying the technical idea of the present invention, and the technical idea of the present invention includes hardware, software, and the like. Does not specify the following. The technical idea of the present invention can be variously modified within the technical scope defined by the claims described in the claims. That is, the following embodiments do not limit the invention according to the claims, and not all combinations of features described in the embodiments are essential to the solution means of the invention.

First Embodiment
FIG. 1: is a block diagram which shows an example of an internal structure of the optimal exercise intensity determination apparatus 10 which concerns on 1st Embodiment of this invention. The optimal exercise intensity determination device 10 according to the first embodiment of the present invention is, as shown in FIG. 1, an exercise load control unit 15, a heart sound collection unit 11, an electrocardiogram collection unit 12, a heart sound processing unit 13, an electrocardiogram processing The unit 14 includes a reference value setting unit 16, a storage unit 17, an optimal exercise intensity detection unit 20, and an output unit 18.

  The exercise load control unit 15 controls the load device 19 to apply a lamp load that raises exercise load (hereinafter also referred to as “exercise intensity”) at a constant rate with time in a load test to a measurement target person. For example, 20 [Watts / min] is used as the increase rate of the exercise load. Further, as the load device 19, for example, an ergometer capable of controlling the magnitude of exercise load (exercise intensity) given to the measurement subject is used. Then, the exercise load control unit 15 uses data of exercise intensity at each time (for example, every 1 second) (hereinafter referred to as “exercise intensity data”) as the storage unit 17 and the optimal exercise intensity detection unit 20. Output. The exercise intensity data is, for example, in the form of digital data.

  The heart sound collecting unit 11 is configured of a microphone, an acceleration sensor, a pressure sensor, and the like. Then, when the subject of measurement is worn and a lamp load is given to the subject of measurement, the heart sound of each time of the heart of the subject of measurement is extracted as an electrical signal. As the electrical signal, for example, a heart sound signal according to heart sound vibration propagating through the chest of the measurement subject is used. In addition, each time the heart sound signal is extracted, the heart sound extraction unit 11 outputs the extracted heart sound signal to the heart sound processing unit 13.

  The electrocardiogram collecting unit 12 is composed of two or more electrodes. Then, when the subject of measurement is worn and a lamp load is given to the subject of measurement, the potential at each time of the heart of the subject of measurement is used as an electrical signal (hereinafter also referred to as "electrode signal") for each electrode. Take out. Further, each time the electrode signal is taken out, the electrocardiography unit 12 outputs the taken out electrode signal to the electrocardiogram processing unit 14.

  The heart sound processing unit 13 generates heart sound data of each time converted into a digital signal by performing predetermined signal processing on the heart sound signal output from the heart sound collecting unit 11, that is, an analog signal. For example, the heart sound processing unit 13 has a filter circuit, an amplifier and an A / D (Analog to Digital) converter not shown. The filter circuit removes direct current (DC) frequency components, high frequency components that may cause aliasing, and high frequency components that are unnecessary for heart sound analysis from the heart sound signal. Further, the amplifier amplifies the heart sound signal from which the filter circuit has removed DC frequency components and the like in accordance with the input range of the A / D converter. Further, the A / D converter converts heart sound signals amplified by the amplifier into digital signals to generate heart sound data. As a result, heart sound data is generated when a lamp load is given to the person to be measured. Then, the heart sound processing unit 13 outputs the generated heart sound data to the storage unit 17 and the optimal exercise intensity detection unit 20.

  The electrocardiogram processing unit 14 generates electrocardiogram data of each time based on the potential difference between the plurality of electrode signals output by the electrocardiogram collecting unit 12. For example, the electrocardiogram processing unit 14 includes a differential amplifier, a filter circuit, and an A / D converter (not shown). The differential amplifier amplifies the potential difference between the electrode signals. Also, the filter circuit removes DC frequency components and high frequency noise components contained in the electrocardiogram signal consisting of the potential difference amplified by the differential amplifier. Further, the A / D converter converts the signal from which the DC frequency component and the like have been removed from the filter circuit into a digital signal to generate electrocardiogram data. This generates electrocardiogram data when a lamp load is given to the measurement subject. Then, the electrocardiogram processing unit 14 outputs the generated electrocardiogram data to the storage unit 17 and the optimal exercise intensity detection unit 20.

  The reference value setting unit 16 sets a predetermined contraction time ratio (which will be described later) (hereinafter also referred to as a “reference value”) which is required when the optimal exercise intensity detection unit 20 determines the optimal exercise intensity. As a setting method of the reference value, for example, a method of inputting a reference value for each measurement target person or a reference value common to the measurement target person from an input device such as a keyboard is used. Then, the reference value setting unit 16 outputs data indicating the set reference value (hereinafter referred to as “reference value data”) to the storage unit 17 and the optimal exercise intensity detection unit 20.

  The storage unit 17 includes the heart sound data output from the heart sound processing unit 13, the electrocardiogram data output from the electrocardiogram processing unit 14, the exercise intensity data output from the exercise load control unit 15, and the reference value output from the reference value setting unit 16. Store each of the data. That is, heart sound data and electrocardiogram data at each time when lamp load is given to the measurement subject are stored. As the storage unit 17, for example, a recording medium such as a hard disk or an SD (Secure Digital) card is used.

  The optimum exercise intensity detection unit 20 outputs the heart sound data output from the heart sound processing unit 13, the electrocardiogram data output from the electrocardiogram processing unit 14, the exercise intensity data output from the exercise load control unit 15, and the reference value setting unit 16 Based on the reference data, the optimal exercise intensity of the subject is determined. In order to determine the optimal exercise intensity of the measurement subject, part or all of the heart sound data, the electrocardiogram data, the exercise intensity data, and the reference value data stored in the storage unit 17 may be used. .

Here, in order to explain the method of determining the optimum exercise intensity, the relationship between the cardiac sound waveform and the electrocardiogram waveform will be described using FIG. 2, FIG. 3, FIG. 4 (a) and (b).
FIG. 2 is a cross-sectional view showing the internal structure of the heart 200 when it is assumed that the heart 200 is cut in a plane parallel to the front. As shown in FIG. 2, the interior of the heart 200 is divided into four chambers: a right atrium 200a, a right ventricle 200b, a left atrium 200c, and a left ventricle 200d. In addition, at the outlet of each chamber 200a, 200b, 200c, 200d, there are four valves, a tricuspid valve 200e for preventing backflow of blood, a pulmonary valve 200f, a mitral valve 200g and an aortic valve 200h.

  FIG. 3 is a cross-sectional view showing a stimulation conduction system of the heart 200. As shown in FIG. In the stimulation conduction system of the heart 200, as shown in FIG. 3, the electrical excitation generated in the sinus node 300a is transmitted to the atria 200a, 200c to cause the muscles of the atria 200a, 200c to contract, and then the electrical excitation is It is transmitted to the atrioventricular node 300b, and the muscles of the ventricles 200b and 200d are contracted through the His bundle 300c, the left leg (the left leg 300d and the left leg 300e), the right leg 300f, and the Purkinje fiber 300g.

FIG. 4A is a cardiac sound waveform diagram showing heart sound signals for two beats. In FIG. 4A, the horizontal axis is time [seconds], and the vertical axis is heart sound signal. Moreover, FIG.4 (b) is an electrocardiogram waveform diagram which shows the electrocardiogram signal for 2 beats. In FIG. 4B, the horizontal axis is time [seconds], and the horizontal axis is an electrocardiogram signal.
First, when electrical excitation occurs in the sinus node 300a shown in FIG. 3, the electrical excitation propagates from the atrioventricular node 300b shown in FIG. 3 to the ventricles 200b and 200d shown in FIG. 3, and FIG. 4 (b) The QRS wave of the electrocardiogram waveform shown in FIG. Also, when the muscles of the ventricles 200b and 200d shown in FIG. 3 start contraction due to electrical excitation and the ventricular pressure becomes higher than the atrial pressure, the tricuspid valve 200e and the mitral valve 200g shown in FIG. 2 close. , Produces the cardiac sound wave I sound shown in FIG. 4 (a). When the ventricular pressure further rises and becomes higher than the pulmonary artery pressure and the aortic pressure, the pulmonary artery valve 200f and the aortic valve 200h shown in FIG. 2 are opened, and the blood in the ventricles 200b and 200d is ejected to the lungs and the whole body.

  Further, at the same timing as the ejection of blood, the ventricles 200b and 200d shown in FIG. 3 begin to return to the state before the electrical excitation, and in this process, a T wave of an electrocardiogram waveform shown in FIG. 4 (b) is generated. When the contraction of the ventricles 200b and 200d shown in FIG. 3 is finished and the ventricular pressure decreases and becomes lower than the pulmonary artery pressure and the aortic pressure, the pulmonary artery valve 200f and the aortic valve 200h shown in FIG. It produces a heart sound of the type indicated. Furthermore, when the ventricular pressure decreases and becomes lower than the atrial pressure, the tricuspid valve 200e and the mitral valve 200g shown in FIG. 2 open, and the blood in the atria 200a and 200c shown in FIG. It enters and the ventricles 200b and 200d expand.

As described above, the ventricles 200b and 200d shown in FIG. 3 repeatedly perform contraction and expansion, starting from the electrical excitation generated in the sinus node 300a shown in FIG. Then, the ventricles 200b and 200d shown in FIG. 3 deliver the blood flowing in during diastole to the lung and whole body during systole.
Here, from the description of the relationship between the cardiac acoustic waveform and the electrocardiogram waveform, the description returns to the description of the optimum exercise intensity detection unit 20. FIG. 5 is a block diagram showing an example of the internal configuration of the optimum exercise intensity detection unit 20. As shown in FIG. For example, as shown in FIG. 5, the optimum exercise intensity detection unit 20 may be provided with a contraction time detection unit 21, a heartbeat time detection unit 23, an contraction time ratio calculation unit 24, and an optimum exercise intensity determination unit 27. Good.

  The contraction time detection unit 21 shown in FIG. 5 is at least one of the heart sound data output by the heart sound processing unit 13 shown in FIG. 1 and the electrocardiogram data output by the electrocardiogram processing unit 14 shown in FIG. The contraction time of the ventricles 200b and 200d at each time is detected based on “measurement data”). As the contraction time, the systolic time from heart sound type I to sound II shown in FIG. 4 (a) (hereinafter referred to as "systole time") from the viewpoint of improving the optimal exercise intensity. The time from the point Q of the electrocardiogram waveform shown in FIG. 4 (b) to the sound I of the cardiac sound waveform shown in FIG. 4 (a) (hereinafter referred to as “QS1 time”), shown in FIG. 4 (b) The time from the point Q of the electrocardiogram waveform to the sound II of the heart sound waveform shown in FIG. 4A (hereinafter referred to as “QS2 time”) or the point Q of the electrocardiogram waveform shown in FIG. 4B The time until the T-wave end point of the electrocardiogram waveform shown in FIG. 4 (b) (hereinafter referred to as “QT time”) is preferable. Then, the contraction time detection unit 21 shown in FIG. 5 outputs the detected contraction time to the contraction time ratio calculation unit 24 every heartbeat. Note that the statistical processing may be performed on a plurality of contraction times, and then, may be output to the contraction time ratio calculating unit 24. For example, an average value of contraction time detected in 10 seconds is calculated, and an average value of contraction time is output to the contraction time ratio calculating unit 24 every 10 seconds. Thereby, the accuracy of the contraction time can be improved.

  The heartbeat time detection unit 23 illustrated in FIG. 5 detects one heartbeat time at each time based on the measurement data. 1 As the heartbeat time, the time between R points adjacent to each other of the electrocardiographic waveform shown in FIG. The time between adjacent I sounds of the heart sound waveform shown in 4 (a) (hereinafter referred to as “S1S1 time”), or the time between adjacent II sounds of the heart sound waveform shown in FIG. 4 (a) Hereinafter, "S2S2 time" is preferable. Then, the heartbeat time detection unit 23 shown in FIG. 5 outputs the detected one heartbeat time to the contraction time ratio calculation unit 24 every heartbeat. Note that the statistical processing may be performed on a plurality of one heartbeat times, and the statistical time may be output to the contraction time ratio calculating unit 24. For example, an average value of one heartbeat time detected in 10 seconds is calculated, and an average value of one heartbeat time is output to the contraction time ratio calculating unit 24 every 10 seconds. Thereby, the accuracy of one heartbeat time can be improved.

  The contraction time ratio calculation unit 24 shown in FIG. 5 is based on the contraction time output by the contraction time detection unit 21 shown in FIG. 5 and the one heartbeat time output by the heartbeat time detection unit 23 shown in FIG. Calculate the contraction time ratio at each time. As a contraction time ratio, for example, a ratio of contraction time divided by one heartbeat time is used. Then, the contraction time ratio calculating unit 24 shown in FIG. 5 outputs the calculated contraction time ratio to the optimum exercise intensity determination unit 27 each time the contraction time ratio is calculated.

The optimum exercise intensity determination unit 27 shown in FIG. 5 is the contraction time ratio output by the contraction time ratio calculation unit 24 shown in FIG. 5 and the exercise intensity data output by the exercise load control unit 15 shown in FIG. That is, based on the exercise load (exercise intensity) given to the measurement subject at the time of the load test and the reference value data output from the reference value setting unit 16 shown in FIG. 1, the optimal exercise intensity of the measurement subject is determined. Do.
Specifically, as shown in FIG. 6A, a reference value (previously set based on the exercise load due to the lamp load and the contraction time ratio based on the measurement data measured at the time of application of the exercise load) The exercise load corresponding to the contraction time ratio is taken as the optimal exercise intensity. For example, first, a table is created in which the contraction time ratio at each time and the exercise intensity (exercise load) are associated with each other when a lamp load is given to the measurement subject. Here, FIG. 6A is a graph showing an example of the relationship between the contraction time ratio and the exercise intensity when the lamp load is given to the measurement subject. In FIG. 6A, the horizontal axis is exercise intensity [Watts], and the vertical axis is “QS1 time / heart rate time” which is an example of contraction time ratio [%]. According to FIG. 6A, it can be seen that the contraction time ratio monotonously increases with the increase in exercise intensity (exercise load).

  Subsequently, as shown in FIG. 6B, the created table is referred to, and the exercise intensity associated with the contraction time ratio matching the reference value is set as the optimal exercise intensity. FIG. 6 (b) is a graph showing the relationship between the contraction time ratio (QS 1 hour / heart rate time) and exercise intensity shown in FIG. 6 (a), and the optimum value when the reference value is set to 15%. It is a graph which shows the determination method of exercise intensity. Then, the optimal exercise intensity determination unit 27 shown in FIG. 5 outputs the determined optimal exercise intensity to the output unit 18 shown in FIG.

In the optimum exercise intensity determination apparatus 10 according to the first embodiment of the present invention, a table is used to associate the contraction time ratio at each time with the exercise intensity (exercise load) when the lamp load is applied. Although the example which calculates | requires the exercise load corresponding to a reference value was shown, another structure can also be employ | adopted. For example, an approximate expression representing the relationship between the contraction time ratio at each time and the exercise load may be estimated, and the exercise load corresponding to the reference value may be obtained using the estimated approximation expression.
The output unit 18 shown in FIG. 1 is a device for determining the optimal exercise intensity determined by the optimal exercise intensity detection unit 20 shown in FIG. 1 (the optimal exercise intensity determination unit 27 shown in FIG. 5). Output to the outside of 10. For example, the optimal exercise intensity is displayed on a display (not shown), or stored in a storage device (not shown) such as a hard disk provided outside the optimal exercise intensity determination device 10.

(Example)
Next, an example of the optimal exercise intensity determination device 10 according to the first embodiment of the present invention and an optimal exercise intensity determination method by the optimal exercise intensity determination device 10 will be described.
In this example, five adult men are the measurement subjects, and the optimum exercise strength determination device 10 according to the first embodiment of the present invention and the optimum exercise strength determination device for each of the five measurement subjects. The contraction time ratio for each exercise intensity (QS1 time / heart rate time) is calculated by the optimum exercise intensity determination method according to 10, and the exercise intensity when the calculated contraction time ratio matches the reference value (15 [%]) Optimal exercise intensity. Moreover, the exercise intensity (AT point exercise intensity) near the boundary of aerobic exercise and anoxic exercise was made the optimal exercise intensity by the conventional CPX examination.

  FIG. 7 is a scatter diagram showing the relationship between the optimal exercise intensity determined from the contraction time ratio (QS1 hour / heart rate time) and the optimal exercise intensity determined by the conventional CPX test. The correlation coefficient between the optimal exercise intensity determined from the contraction time ratio (QS1 hour / heart rate time) and the optimal exercise intensity determined by the conventional CPX test was “0.74”. Thereby, according to the optimum exercise intensity determination device 10 according to the first embodiment of the present invention, by using the contraction time ratio of the ventricles 200b and 200d, the same as the optimum exercise intensity determined by the conventional CPX test can be obtained. To some extent, it has been found that the optimal exercise intensity can be accurately detected. Although FIG. 7 shows an example in which the same reference value (15 [%]) is used for five measurement subjects, different reference values may be used for each measurement subject.

(Effect of the first embodiment)
As described above, the optimal exercise intensity determination device 10 according to the first embodiment of the present invention is based on measurement data that is at least one of heart sound data and electrocardiogram data of a measurement subject measured at the time of a stress test. The contraction time detection unit 21 detects contraction time of the ventricle 200b and 200d of the measurement subject, the heartbeat time detection unit 23 detects one heartbeat time of the measurement subject based on the measurement data, and the contraction time detection unit 21 Based on the contraction time ratio, which is the ratio of the detected contraction time to one heartbeat time detected by the heartbeat time detection unit 23, and the exercise load given to the measurement subject at the time of the stress test, the optimum exercise of the measurement subject And an optimal exercise intensity determination unit 27 for determining the intensity. That is, in the method for determining the optimal exercise intensity according to the first embodiment of the present invention by the optimal exercise intensity determination apparatus 10, measurement data that is at least one of heart sound data and electrocardiogram data of the measurement subject measured during the stress test. The contraction time of the ventricles 200b and 200d of the measurement subject is detected, and one heartbeat time of the measurement subject is detected based on the measurement data, and the contraction time ratio which is the ratio of contraction time and one heartbeat time The optimum exercise intensity of the subject is determined based on the exercise load given to the subject at the time of the stress test.

  Therefore, in order to determine the optimal exercise intensity using temporal information of cardiac sound data and electrocardiographic data, for example, as in the invention described in Patent Document 1, the optimal kinetic intensity is used using amplitude information of cardiac sound data. Compared to the method to determine, it is less susceptible to noise from surrounding noise and body movement during exercise. Moreover, heart sound data and electrocardiogram data can be measured by simple and inexpensive hardware. Therefore, it is possible to provide an inexpensive and more accurate optimal exercise intensity determination device 10. Therefore, the optimum exercise intensity determination device 10 according to the first embodiment of the present invention is very useful for measuring the optimum exercise intensity when performing exercise therapy as treatment for lifestyle-related diseases such as diabetes and heart disease etc. is there.

Further, in the optimal exercise intensity determination device 10 according to the first embodiment of the present invention, the optimal exercise intensity determination unit 27 determines an exercise load and a contraction time ratio based on measurement data measured at the time of applying the exercise load. The exercise intensity corresponding to the reference value which is a preset contraction time ratio is set as the optimum exercise intensity based on the above. Therefore, the optimal exercise intensity can be determined more appropriately.
Furthermore, in the optimal exercise intensity determination device 10 according to the first embodiment of the present invention, the systole time, which is the systolic time from the heart sound type I to the sound II, and the Q point of the electrocardiographic waveform QS1 time, which is the time from the I sound of the echocardiographic shape, QS2 time, the time from the Q point of the electrocardiographic waveform to the II sound of the electrocardiographic waveform, or Q point of the electrocardiogram waveform, to the T wave end point of the electrocardiogram waveform The QT time, which is Therefore, the optimal exercise intensity can be determined more appropriately.

Furthermore, in the optimum exercise intensity determination device 10 according to the first embodiment of the present invention, one heartbeat time is RR time which is a time between R points adjacent to each other of the electrocardiogram waveform, I sound adjacent to each other S1S1 time, which is the time between them, or S2S2 time, which is the time between adjacent II sounds of cardiac sound waveform. Therefore, the optimal exercise intensity can be determined more appropriately.
Further, in the optimum exercise intensity determination device 10 according to the first embodiment of the present invention, the load test gives the subject a lamp load that raises the exercise load at a constant rate over time, and also measures data of each time Because it is a test to be measured, measurement data can be obtained relatively easily.

Second Embodiment
Next, the optimal exercise intensity determination device 10 according to the second embodiment of the present invention and the optimal exercise intensity determination method by the optimal exercise intensity determination device 10 will be described.
The second embodiment of the present invention differs from the first embodiment in that the optimum exercise intensity detection unit 20 determines the optimum exercise intensity using an extension time ratio (described later) instead of the contraction time ratio. .

The reference value setting unit 16 shown in FIG. 1 sets, as a reference value, a predetermined extension time ratio required when determining the optimum exercise intensity by the optimum exercise intensity detection unit 20 shown in FIG. The reference value setting unit 16 shown in FIG. 1 is data indicating the set reference value, that is, the storage unit 17 shown in FIG. 1 and the optimal exercise intensity detection unit 20 shown in FIG. Output to
FIG. 8 is a block diagram showing an example of the internal configuration of the optimum exercise intensity detection unit 20 according to the second embodiment of the present invention. The optimum exercise intensity detection unit 20 according to the second embodiment of the present invention is, as shown in FIG. 8, an extension time detection unit 22, a heartbeat time detection unit 23, an extension time ratio calculation unit 25 and an optimum exercise intensity determination unit 28. Equipped with

  The expansion time detection unit 22 illustrated in FIG. 8 detects the expansion time of the ventricles 200b and 200d at each time based on the measurement data. As dilation time, the diastolic time from heart sound II to sound I shown in FIG. 4 (a) from the viewpoint of improving the optimal exercise intensity (hereinafter referred to as “diastolic time”) 4 (a) to the point Q of the electrocardiogram waveform shown in FIG. 4 (b) (hereinafter referred to as "S2Q time"), or FIG. 4 (b) The time from the T wave end point of the shown electrocardiogram waveform to the point Q of the electrocardiogram waveform shown in FIG. 4B (hereinafter referred to as "TQ time") is preferable. Then, the extension time detection unit 22 shown in FIG. 8 outputs the detected extension time to the extension time ratio calculation unit 25 every heartbeat. Note that the statistical processing may be performed on a plurality of extension times, and then output to the extension time ratio calculating unit 25. For example, the average value of the extension time detected in 10 seconds is calculated, and the average value of the extension time is output to the extension time ratio calculating unit 25 every 10 seconds. Thereby, the accuracy of the extension time can be improved.

The extension time ratio calculating unit 25 shown in FIG. 8 is a ratio obtained by dividing the extension time outputted by the extension time detecting unit 22 shown in FIG. 8 by one heartbeat time outputted by the heartbeat time detecting unit 23 shown in FIG. Calculate (hereinafter referred to as "expansion time ratio"). Then, the extension time ratio calculation unit 25 shown in FIG. 8 outputs the calculated extension time ratio to the optimum exercise intensity determination unit 28.
The optimum exercise intensity determination unit 28 shown in FIG. 8 is the extension time ratio output by the extension time ratio calculation unit 25 shown in FIG. 8 and the exercise intensity data output by the exercise load control unit 15 shown in FIG. That is, based on the exercise load (exercise intensity) given to the measurement subject at the time of the load test and the reference value data output from the reference value setting unit 16 shown in FIG. 1, the optimal exercise intensity of the measurement subject is determined. Do.

  Specifically, as shown in FIG. 9A, based on exercise load due to lamp load and an expansion time ratio based on at least one of heart sound data and electrocardiogram data measured at the time of application of the exercise load, The exercise load corresponding to the reference value (predetermined contraction time ratio) is taken as the optimum exercise intensity. For example, first, a table is created in which the expansion time ratio at each time when the lamp load is given to the measurement target and the exercise intensity (exercise load) are associated with each other. Here, FIG. 9A is a graph showing an example of the relationship between the extension time ratio and the exercise intensity when the lamp load is given to the person to be measured. In FIG. 9A, the horizontal axis is exercise intensity [Watts], and the vertical axis is “diastolic time / heart rate time” which is an example of the expansion time ratio [%]. According to FIG. 9A, it can be seen that the expansion time ratio monotonously decreases with the increase in exercise intensity (exercise load).

  Subsequently, as shown in FIG. 9B, the created table is referred to, and the exercise intensity associated with the extension time ratio coinciding with the reference value is set as the optimum exercise intensity. FIG. 9 (b) is a graph showing the relationship between the expansion time ratio (diastole time / heart rate time) and exercise intensity shown in FIG. 9 (a), in which the reference value is set to 50 [%]. It is a graph which shows the determination method of suitable exercise intensity. Then, the optimal exercise intensity determination unit 27 shown in FIG. 8 outputs the determined optimal exercise intensity to the output unit 18 shown in FIG.

(Example)
Next, an example of the optimal exercise intensity determination device 10 according to the second embodiment of the present invention and an optimal exercise intensity determination method by the optimal exercise intensity determination device 10 will be described.
In this example, five adult men are the measurement subject, and the optimum exercise strength determination device 10 according to the second embodiment of the present invention and the optimum exercise strength determination device for each of the five measurement subjects. Calculate the extension time ratio for each exercise intensity (diastole time / heart rate time) by the optimal exercise intensity determination method according to 10, and exercise intensity when the calculated extension time ratio matches the reference value (50 [%]) Was the optimal exercise intensity. Moreover, the exercise intensity (AT point exercise intensity) near the boundary of aerobic exercise and anoxic exercise was made the optimal exercise intensity by the conventional CPX examination.

  FIG. 10 is a scatter diagram showing the relationship between the optimal exercise intensity determined from the dilation time ratio (diastole time / heart rate time) and the optimal exercise intensity determined by the conventional CPX test. The correlation coefficient between the optimal exercise intensity determined from the dilation time ratio (diastole time / heart rate time) and the optimal exercise intensity determined by the conventional CPX test was “0.96”. Thereby, according to the optimum exercise intensity determination device 10 according to the second embodiment of the present invention, by using the dilation time ratio of the ventricles 200b and 200d, the same as the optimum exercise intensity determined by the conventional CPX test can be obtained. To some extent, it has been found that the optimal exercise intensity can be accurately detected. Although FIG. 10 shows an example in which the same reference value (50 [%]) is used for five measurement subjects, different reference values may be used for each measurement subject.

(Effect of the second embodiment)
As described above, the optimal exercise intensity determination device 10 according to the second embodiment of the present invention is based on measurement data that is at least one of heart sound data and electrocardiogram data of a measurement subject measured at the time of a stress test. The expansion time detection unit 22 detects the expansion time of the ventricle 200b and 200d of the measurement subject, the heartbeat time detection unit 23 detects one heartbeat time of the measurement subject based on the measurement data, and the expansion time detection unit 22 Based on the dilation time ratio, which is the ratio of the dilation time detected to the one heartbeat time detected by the heartbeat time detection unit 23, and the exercise load given to the measurement subject at the time of the stress test, the optimum exercise of the measurement subject And an optimal exercise intensity determination unit 28 for determining the intensity. That is, in the method for determining the optimal exercise intensity according to the second embodiment of the present invention by the optimal exercise intensity determination apparatus 10, measurement data that is at least one of heart sound data and electrocardiogram data of the measurement subject measured during the stress test. Based on the measurement subject's ventricles 200b, 200d's dilation time is detected, one's heartbeat time from the measurement subject's one's heartbeat is detected based on the measurement data, and a dilation The optimum exercise intensity of the subject is determined based on the exercise load given to the subject at the time of the stress test.

  Therefore, in order to determine the optimal exercise intensity using temporal information of cardiac sound data and electrocardiographic data, for example, as in the invention described in Patent Document 1, the optimal kinetic intensity is used using amplitude information of cardiac sound data. Compared to the method to determine, it is less susceptible to noise from surrounding noise and body movement during exercise. Moreover, heart sound data and electrocardiogram data can be measured by simple and inexpensive hardware. Therefore, it is possible to provide an inexpensive and more accurate optimal exercise intensity determination device 10. Therefore, the optimum exercise intensity determination device 10 according to the second embodiment of the present invention is very useful for measuring the optimum exercise intensity when performing exercise therapy as treatment for lifestyle-related diseases such as diabetes and heart disease etc. is there.

Further, in the optimal exercise intensity determination device 10 according to the second embodiment of the present invention, the optimal exercise intensity determination unit 28 includes an exercise load and an expansion time ratio based on measurement data measured at the time of applying the exercise load. The exercise intensity corresponding to the reference value which is a preset extension time ratio is set as the optimal exercise intensity based on the above. Therefore, the optimal exercise intensity can be determined more appropriately.
Furthermore, in the optimal exercise intensity determination device 10 according to the second embodiment of the present invention, the dilation time is the diastolic time from the heart sound type II sound to the sound I sound, the diastolic time from the heart sound type II sound The S2Q time which is the time to the Q point of the electrocardiogram waveform or the TQ time which is the time from the T wave end point of the electrocardiogram waveform to the Q point of the electrocardiogram waveform is used. Therefore, the optimal exercise intensity can be determined more appropriately.

Third Embodiment
Next, the optimal exercise intensity determination device 10 according to the third embodiment of the present invention and the optimal exercise intensity determination method using the optimal exercise intensity determination device 10 will be described.
The third embodiment of the present invention is that the optimum exercise intensity detection unit 20 determines the optimum exercise intensity using a contraction-expansion time ratio (described later) instead of the contraction time ratio. It is different from

The reference value setting unit 16 shown in FIG. 1 sets a predetermined contraction-to-expansion time ratio necessary for determining the optimum exercise intensity by the optimum exercise intensity detection unit 20 shown in FIG. 1 as a reference value. . The reference value setting unit 16 shown in FIG. 1 is data indicating the set reference value, that is, the storage unit 17 shown in FIG. 1 and the optimal exercise intensity detection unit 20 shown in FIG. Output to
FIG. 11 is a block diagram showing an example of the internal configuration of the optimum exercise intensity detection unit 20 according to the third embodiment of the present invention. The optimum exercise intensity detection unit 20 according to the third embodiment of the present invention, as shown in FIG. 11, includes a contraction time detection unit 21, an extension time detection unit 22, a contraction to extension time ratio calculation unit 26, and an optimum exercise intensity. A determination unit 29 is provided.

  The contraction time detection unit 21 illustrated in FIG. 11 detects the contraction time of the ventricles 200b and 200d at each time based on the measurement data. In the optimal exercise intensity determination device 10 according to the third embodiment of the present invention, as contraction time, from the viewpoint of improving the optimal exercise intensity, it is possible to use the I sound from the heart sound wave form shown in FIG. The systole time which is the time to the sound, the QS1 time which is the time from the point Q of the electrocardiogram waveform shown in FIG. 4B to the sound I of the cardiac sound waveform shown in FIG. 4), which is the time from the point Q of the electrocardiogram waveform shown in FIG. 4 to the sound II of the heart acoustic waveform shown in FIG. 4 (a), or from the point Q of the electrocardiogram waveform shown in FIG. The QT time which is the time to the T-wave end point of the electrocardiographic waveform shown in (b) is preferable. Then, the contraction time detection unit 21 shown in FIG. 11 outputs the detected contraction time to the contraction to expansion time ratio calculation unit 26 shown in FIG. 11 every heartbeat. The configuration may be such that the contraction to expansion time ratio calculating unit 26 is output after statistical processing is performed on a plurality of contraction times. For example, an average value of contraction time detected in 10 seconds is calculated, and an average value of contraction time is output to the contraction to expansion time ratio calculating unit 26 every 10 seconds. Thereby, the accuracy of the contraction time can be improved.

  The expansion time detection unit 22 illustrated in FIG. 11 detects the expansion time of the ventricles 200b and 200d at each time based on the measurement data. In the optimal exercise intensity determination device 10 according to the third embodiment, as the extension time, from the viewpoint of the high accuracy of the optimal exercise intensity, it is possible to use the cardiac sound wave type II to I sounds shown in FIG. The diastolic time, which is the diastolic time, the S2Q time, which is the time from the cardiac sound waveform II sound shown in FIG. 4 (a) to the Q point of the electrocardiographic waveform shown in FIG. The TQ time which is the time from the T-wave end point of the electrocardiogram waveform shown in b) to the point Q of the electrocardiogram waveform shown in FIG. 4B is preferable. Then, the expansion time detection unit 22 shown in FIG. 11 outputs the detected expansion time to the contraction to expansion time ratio calculation unit 26 every heartbeat. The configuration may be such that the contraction to expansion time ratio calculating unit 26 is output after performing statistical processing on a plurality of expansion times. For example, the average value of the extension time detected in 10 seconds is calculated, and the average value of the extension time is output to the contraction to extension time ratio calculating unit 26 every 10 seconds. Thereby, the accuracy of the extension time can be improved.

  The contraction-to-expansion time ratio calculation unit 26 illustrated in FIG. 11 divides the contraction time output by the contraction time detection unit 21 illustrated in FIG. 11 by the expansion time output by the expansion time detection unit 22 illustrated in FIG. Calculate the ratio (hereinafter referred to as the “contraction-to-expansion time ratio”). In particular, a ratio calculated by dividing QS1 by diastolic time (hereinafter referred to as “QS1 time / diastolic time”), or a ratio calculated by dividing QS2 by diastolic time as the contraction to diastolic time ratio. (Hereinafter referred to as “QS2 time / diastolic time”) is preferred. Then, the contraction to expansion time ratio calculation unit 26 shown in FIG. 11 outputs the calculated contraction to expansion time ratio to the optimum exercise strength determination unit 29.

  The optimum exercise intensity determination unit 29 shown in FIG. 11 calculates the contraction to expansion time ratio calculated by the contraction to expansion time ratio calculation unit 26 shown in FIG. 11 (for example, QS1 time / diastole time, QS2 time / diastole Time) and exercise intensity data output by the exercise load control unit 15 shown in FIG. 1, that is, the exercise load (exercise intensity) given to the subject at the time of the load test, and the reference value setting unit shown in FIG. Based on the reference value data (reference value) output by S.16, the optimum exercise intensity of the subject is determined.

  Specifically, as shown in FIG. 12 (a), the optimal exercise intensity determination unit 29 shown in FIG. 11 is an exercise load due to the lamp load, and heart sound data and an electrocardiogram measured when the exercise load is applied. Based on the contraction to expansion time ratio based on the data, the exercise load corresponding to the reference value, that is, the preset contraction to expansion time ratio is taken as the optimal exercise intensity. For example, first, a table is created in which the contraction-expansion time ratio and exercise intensity (exercise load) at each time when a lamp load is given to the measurement subject are associated with each other. Here, FIG. 12A is a graph showing an example of the relationship between the contraction-expansion time ratio and the exercise intensity when the lamp load is given to the measurement subject. In FIG. 12A, the horizontal axis is exercise intensity [Watts], and the vertical axis is “QS2 time / diastolic time [%]” which is an example of the contraction to expansion time ratio. According to FIG. 12A, it can be seen that the contraction to expansion time ratio monotonically increases with the increase in exercise intensity (exercise load).

  Subsequently, as shown in FIG. 12B, the created table is referred to, and the exercise intensity associated with the contraction-expansion time ratio matching the reference value is set as the optimum exercise intensity. FIG. 12 (b) is a graph showing the relationship between contraction-expansion time ratio (QS2 time / diastolic time) and exercise intensity shown in FIG. 12 (a), in which the reference value is set to 130 [%] It is a graph which shows the determination method of the optimal exercise intensity of. Then, the optimal exercise intensity determination unit 29 shown in FIG. 11 outputs the determined optimal exercise intensity to the output unit 18 shown in FIG.

(Example)
Next, an example of the optimal exercise intensity determination device 10 according to the third embodiment of the present invention and an optimal exercise intensity determination method by the optimal exercise intensity determination device 10 will be described.
In this example, five adult men are the measurement subjects, and the optimum exercise strength determination device 10 according to the third embodiment of the present invention and the optimum exercise strength determination device for each of the five measurement subjects. Calculate the contraction-expansion time ratio for each exercise intensity (QS2 time / diastolic time) by the method of determining the optimal exercise intensity according to 10, and calculate the calculated contraction-expansion time ratio as the standard value (1.3 [%]) The exercise intensity in the case of agreement was made the optimal exercise intensity. In addition, exercise intensity (AT point exercise intensity) near the boundary between aerobic exercise and anoxic exercise was determined as the optimum exercise intensity by the conventional CPX test.

  FIG. 13 is a scatter diagram showing the relationship between the optimal exercise intensity determined from the contraction to dilation time ratio (QS2 time / diastolic time) and the optimal exercise intensity determined by the conventional CPX test. The correlation coefficient between the optimal exercise intensity determined from the contraction to dilation time ratio (QS2 time / diastolic time) and the optimal exercise intensity determined by the conventional CPX test was “0.96”. Thereby, according to the optimum exercise intensity determination device 10 according to the third embodiment of the present invention, the optimum exercise intensity determined by the conventional CPX test using the contraction to dilation time ratio of the ventricles 200b and 200d. It was found that the optimal exercise intensity can be detected with high accuracy. Although FIG. 13 shows an example in which the same reference value (1.3 [%]) is used for five measurement targets, different reference values may be used for each measurement target.

(Effect of the third embodiment)
As described above, the optimal exercise intensity determination device 10 according to the third embodiment of the present invention is based on measurement data that is at least one of heart sound data and electrocardiogram data of a measurement subject measured at the time of stress test. Contraction time detection unit 21 for detecting contraction time of ventricle 200b, 200d of measurement subject, extended time detection unit 22 for detecting expansion time of ventricle 200b, 200d of measurement subject based on measurement data, contraction time detection Based on the contraction to expansion time ratio, which is the ratio of the contraction time detected by the section 21 to the expansion time detected by the expansion time detection section 22, and the exercise load given to the measurement target at the time of the load test, And an optimal exercise intensity determination unit 29 for determining an optimal exercise intensity.

  That is, in the method for determining the optimal exercise intensity according to the third embodiment of the present invention performed using the optimal exercise intensity determination device 10, at least one of the heart sound data and the electrocardiogram data of the measurement subject measured during the stress test. Based on the measurement data, the contraction time of the ventricle 200b, 200d of the measurement subject is detected, and the expansion time of the ventricle 200b, 200d of the measurement subject is detected based on the measurement data, and the detected contraction time and the expansion time The optimal exercise intensity of the subject is determined based on the ratio of contraction to dilation time, which is the ratio of and the exercise load given to the subject at the time of the stress test.

  Therefore, in order to determine the optimal exercise intensity using temporal information of cardiac sound data and electrocardiographic data, for example, as in the invention described in Patent Document 1, the optimal kinetic intensity is used using amplitude information of cardiac sound data. Compared to the method to determine, it is less susceptible to noise from surrounding noise and body movement during exercise. Moreover, heart sound data and electrocardiogram data can be measured by simple and inexpensive hardware. Therefore, it is possible to provide an inexpensive and more accurate optimal exercise intensity determination device 10. Therefore, the optimum exercise intensity determination device 10 according to the third embodiment of the present invention is very useful for measuring the optimum exercise intensity when performing exercise therapy as treatment for lifestyle-related diseases such as diabetes and heart disease etc. is there.

  Further, in the optimal exercise intensity determination device 10 according to the third embodiment of the present invention, the optimal exercise intensity determination unit 29 determines the exercise load and the contraction vs. extension time based on the measurement data measured at the time of applying the exercise load. Based on the ratio, an exercise intensity corresponding to a preset reference value of contraction to dilation time ratio was made to be the optimal exercise intensity. Therefore, the optimal exercise intensity can be determined more appropriately.

  Furthermore, in the optimum exercise intensity determination device 10 according to the third embodiment of the present invention, the systole time which is the systolic time from the heart sound type I to the sound II and the Q point of the electrocardiographic waveform QS1 time, which is the time from the I sound of the echocardiographic shape, QS2 time, the time from the Q point of the electrocardiographic waveform to the II sound of the electrocardiographic waveform, or Q point of the electrocardiogram waveform, to the T wave end point of the electrocardiogram waveform The QT time, which is In addition, diastolic time, which is diastolic time from sound II to sound I of cardiac sound waveform, time S2 from sound II of acoustic sound wave to point Q of electrocardiographic waveform, or electrocardiographic waveform The TQ time which is the time from the end point of the T wave to the point Q of the electrocardiogram waveform. Therefore, the optimal exercise intensity can be determined more appropriately.

(Hardware configuration of optimum exercise intensity determination device)
Next, an example of a more specific hardware configuration for realizing the optimal exercise strength determination device 10 according to the first to third embodiments of the present invention will be described.
FIG. 14: is an example of the hardware constitutions of the optimal exercise intensity determination apparatus 10 which concerns on 1st-3rd embodiment of this invention. The optimum exercise intensity determination device 10 according to the first to third embodiments of the present invention, as shown in FIG. 14, includes an acceleration sensor 203, an electrode for electrocardiogram 204, a signal processing terminal 202, an exercise load monitoring device 205 and a computer. 206 is provided. In FIG. 14, the acceleration sensor 203 corresponds to the heart sound collecting unit 11 in FIG. 1, and similarly, the electrode for electrocardiogram 204 corresponds to the heart collecting unit 12 in FIG. 1, and the signal processing terminal 202 corresponds to the heart sound in FIG. 1. The exercise load monitoring device 205 corresponds to the exercise load control unit 15 of FIG. 1, the ergometer 201 corresponds to the load device 19 of FIG. 1, and the computer 206 corresponds to FIG. 1. It corresponds to the reference value setting unit 16, the storage unit 17, the optimal exercise intensity detection unit 20, and the output unit 18.

The acceleration sensor 203 shown in FIG. 14 is attached to the chest of the measurement subject 400, and extracts heart sound of each time of the heart of the measurement subject 400 as an electric signal (heart sound signal).
The electrocardiographic electrode 204 shown in FIG. 14 is attached to the chest of the measurement subject 400, and takes out the electrical state at each time of the heart 200 of the measurement subject 400 as an electric signal (electrode signal).
The signal processing terminal 202 shown in FIG. 14 is, as shown in FIG. 15, a filter circuit 210 for processing heart sound signals, an amplifier 211, and an A / D converter 212, and a differential for processing electrode signals. An amplifier 213, a filter circuit 214, and an A / D converter 215 are provided to transmit digitized heart sound data and electrocardiogram data to the computer 206.

The exercise load monitoring device 205 shown in FIG. 14 controls the ergometer 201 so as to apply a lamp load, which increases exercise load (exercise intensity) at a constant rate with time, to the subject. Then, the exercise intensity data of each time is transmitted to the computer 206.
The computer 206 shown in FIG. 14 includes heart sound data and electrocardiogram data output from the signal processing terminal 202 shown in FIG. 14, exercise intensity data output from the exercise load monitoring device 205 shown in FIG. 14, and reference value data. And determines the optimal exercise intensity of the subject to be measured, and displays it on the display 207 or outputs it to a storage device such as an external hard disk.

  In FIG. 14, communication between the signal processing terminal 202 and the computer 206 and communication between the exercise load monitoring device 205 and the computer 206 are wire communication, but may be wireless communication. Also, as shown in FIG. 16, any of digitized heart sound data and electrocardiogram data and exercise intensity data is input to the computer 206 using the recording media 208 and 209 such as an SD card. It is also good. When cardiac sound data and electrocardiogram data are input to the computer 206 using the recording medium 208, the signal processing terminal 202 is configured to include the storage device 216 as shown in FIG.

DESCRIPTION OF SYMBOLS 10 ... Optimal exercise intensity determination apparatus, 11 ... Heart sound collection part, 12 ... Electrocardiogram collection part, 13 ... Heart sound processing part, 14 ... Electrocardiogram processing part, 15 ... Exercise load control part, 16 ... Reference value setting part, 17 ... storage unit 18 ... output unit 19 ... loading device 20 ... optimum exercise intensity detection unit 21 ... contraction time detection unit 22 ... extended time detection unit 23 ... heart rate time detection unit 24 ... contraction time ratio calculation Part 25: Expansion time ratio calculation part 26: Contraction to expansion time ratio calculation part 27, 28, 29 Optimal movement intensity determination part 200: Heart 200a Right atrium 200b Right ventricle 200c Left Atrial, 200 d: Left ventricle, 200 e: Tricuspid valve, 200 f: Pulmonary artery valve, 200 g: Mitral valve, 200 h: Aortic valve, 201: Ergometer, 202: Signal processing terminal, 203: Acceleration sensor, 204: Electrocardiographic electrode , 205 ... exercise load Taling device, 206: computer, 207: display, 208: recording medium, 209: recording medium, 210: filter circuit, 211: amplifier, 212: A / D converter, 213: differential amplifier, 214: filter circuit, 215 ... A / D converter, 216, storage device, 300a, sinus node, 300b, atrioventricular node, 300c, hiss bundle, 300d, left leg front branch, 300e, left leg rear branch, 300f, right leg, 300 g, ... Fiber, 400 ... Person to be measured

Claims (14)

A contraction time detection unit that detects a contraction time of a ventricle of a measurement subject based on measurement data that is at least one of cardiac sound data and electrocardiographic data of the measurement subject measured at the time of the stress test;
A heartbeat time detection unit that detects one heartbeat time of a measurement subject based on the measurement data;
Based on the contraction time ratio which is the ratio of the contraction time detected by the contraction time detection unit to the one heartbeat time detected by the heartbeat time detection unit, and the exercise load given to the subject at the time of the load test, An optimal exercise intensity determination device comprising: an optimal exercise intensity determination unit that determines an optimal exercise intensity of a measurement subject.   The optimal exercise intensity determination unit uses a reference value that is the contraction time ratio set in advance based on the exercise load and the contraction time ratio based on the measurement data measured at the time of application of the exercise load. The optimal exercise intensity determination device according to claim 1, wherein the corresponding exercise load is the optimal exercise intensity.   The contraction time is a systole time which is a systolic time from a sound I to a sound of a heart sound waveform, a time Q from a point Q of the electrocardiogram waveform to a sound I of a heart sound waveform, Q time of the electrocardiogram waveform The optimal exercise according to claim 1 or 2, which is a QS2 time which is a time from a point to a sound II of an echocardiographic form, or a QT time which is a time from a point Q of an electrocardiogram waveform to a T wave end point of the electrocardiogram waveform. Strength determination device. An expansion time detection unit that detects an expansion time of a ventricle of a measurement subject based on measurement data that is at least one of heart sound data and electrocardiogram data of the measurement subject measured during the stress test;
A heartbeat time detection unit that detects one heartbeat time of a measurement subject based on the measurement data;
Based on the extension time ratio, which is the ratio of the extension time detected by the extension time detection unit to the one heartbeat time detected by the heartbeat time detection unit, and the exercise load given to the subject during the load test, An optimal exercise intensity determination device comprising: an optimal exercise intensity determination unit that determines an optimal exercise intensity of a measurement subject.   The optimum exercise intensity determination unit uses a reference value that is the expansion time ratio set in advance based on the exercise load and the expansion time ratio based on the measurement data measured at the time of application of the exercise load. The optimal exercise intensity determination device according to claim 4, wherein the corresponding exercise load is an optimal exercise intensity.   The dilation time is the diastolic time which is the diastolic time from the sound II to the sound I of the echocardiography, the S2Q time which is the time from the sound II of the echocardiographic to the Q point of the electrocardiographic waveform, or The apparatus for determining the optimal exercise intensity according to claim 4 or 5, which is a TQ time which is a time from the T wave end point to the Q point of the electrocardiogram waveform.   The one heartbeat time is RR time which is a time between adjacent R points of the electrocardiogram waveform, S1 S1 time which is a time between adjacent I sounds of a cardiac sound waveform, or between adjacent II sounds of a cardiac sound waveform. The apparatus for determining the optimal exercise intensity according to any one of claims 1 to 6, wherein the time is S2S2 time. A contraction time detection unit that detects a contraction time of a ventricle of a measurement subject based on measurement data that is at least one of cardiac sound data and electrocardiographic data of the measurement subject measured at the time of the stress test;
An expansion time detection unit that detects an expansion time of a ventricle of a measurement subject based on the measurement data;
Based on the contraction-expansion time ratio, which is the ratio between the contraction time detected by the contraction time detection unit and the expansion time detected by the expansion time detection unit, and the exercise load given to the subject during the load test. And an optimal exercise intensity determination unit for determining an optimal exercise intensity of a measurement subject.   The optimal exercise strength determination unit is configured to set the contraction to expansion time ratio previously set based on the exercise load and the contraction to expansion time ratio based on the measurement data measured at the time of application of the exercise load. The optimal exercise intensity determination device according to claim 8, wherein the exercise load corresponding to a reference value is an optimal exercise intensity. The contraction time is a systole time which is a systolic time from a sound I to a sound of a heart sound waveform, a time Q from a point Q of the electrocardiogram waveform to a sound I of a heart sound waveform, Q time of the electrocardiogram waveform QS2 time which is the time from the point to the sound II of the heart acoustic waveform, or QT time which is the time from the point Q of the electrocardiogram waveform to the T wave end point of the electrocardiogram waveform,
The dilation time is the diastolic time which is the diastolic time from the sound II to the sound I of the echocardiography, the S2Q time which is the time from the sound II of the echocardiographic to the Q point of the electrocardiographic waveform, or 10. The apparatus according to claim 8, wherein the TQ time is the time from the T wave end point to the Q point of the electrocardiogram waveform.   11. The test according to any one of claims 1 to 10, wherein the load test is a test to give a subject a lamp load that raises the exercise load at a constant rate with time, and to measure the measurement data at each time. Optimal exercise intensity determination device. Based on measurement data that is at least one of heart sound data and electrocardiogram data of a measurement subject measured at the time of the stress test, a contraction time of a ventricle of the measurement subject is detected;
Detecting one heartbeat time of the subject based on the measurement data;
Optimal exercise to determine the optimal exercise intensity of the subject based on the contraction time ratio, which is the ratio of the contraction time to the one heartbeat time, and the exercise load given to the subject at the time of the load test How to determine strength. Based on measurement data that is at least one of heart sound data and electrocardiogram data of the measurement subject measured at the time of the stress test, a dilation time of the measurement subject's ventricle is detected;
Detecting one heartbeat time of the subject based on the measurement data;
Optimal exercise to determine the optimal exercise intensity of the subject based on the dilation time ratio, which is the ratio of the diastolic time to the one heartbeat time, and the exercise load given to the subject at the time of the load test How to determine strength. Based on measurement data that is at least one of heart sound data and electrocardiogram data of a measurement subject measured at the time of the stress test, a contraction time of a ventricle of the measurement subject is detected;
Based on the measurement data, a dilation time of a person to be measured is detected;
Optimal to determine the optimal exercise intensity of the subject based on the contraction-to-expansion time ratio, which is the ratio between the contraction time and the extension time, and the exercise load given to the subject at the time of the stress test. How to determine exercise intensity.

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