JP2008220556A - Heart rate measuring system and method - Google Patents

Abstract

【Task】
To provide a heart rate measuring system and measuring method capable of adding and integrating quasi-periodic signals.
The heartbeat measurement system according to the present invention includes a signal detection device 102, a signal processing device 103 connected to the signal detection device 102, and a display device 104 connected to the signal processing device 103. The signal detection device 102 detects a heartbeat signal having an irregular period from the measurement object 101. The signal processing device 103 time-divides the heartbeat signal, compares continuous signals of the heartbeat signals obtained by time-division, and detects the peak value of the heartbeat signal from the comparison result. Further, the signal processing device 103 generates a peak value group of heart rate signals of the heartbeat signal having one or a plurality of peak values, and divides each peak value of the peak value group by the maximum peak value of the peak value group. To normalize each peak value in the peak value group. Further, the display device 104 displays the heartbeat signal processed by the signal processing device.
[Selection] Figure 1

Description

  The present invention relates to a heart rate measurement system and method, and more particularly, to a heart rate measurement system and method for normalizing a waveform signal having a peak.

  The measurement of the heartbeat is currently performed with an electrocardiograph, and for that reason, it relies solely on the observation of the recorded electrocardiogram. The content is only a superficial observation of the recorded figure, and is currently interpreted based on clinical medical knowledge.

  In this case, “observation of the figure” is essentially merely interpreted as a single record of “beating heartbeat of irregular cycle”, and added medical findings. This means that the “heart information” supplied “repetitively” to the observer is handled only as a single record, and it is lagging behind modern instrumental analysis. That is, in the conventional analytical instrument, when the signal of interest is periodic, it is a regular method to increase the accuracy of the signal and increase its strength by adding and integrating the signals synchronously. is there. This enables high-order processing of signals by subsequent techniques such as Fourier transform and waveform analysis. For this reason, “signal summation and integration” is essential in instrument analysis.

However, if the signal is disturbed in its periodicity, it cannot be easily summed or accumulated, so it is quasi-periodic, such as heartbeats, that is, heartbeats or mechanical vibrations. When the period is disturbed, there is a problem in that neither summation nor integration can be performed, and therefore high-order processing of signals cannot be performed.

On the other hand, conventionally, doctors have diagnosed patient health from a plurality of waveforms displayed on an electrocardiogram. However, it is left to the subjective judgment by a doctor to determine which waveform is used to diagnose health from a plurality of waveforms displayed on the electrocardiogram. This determination is not only a burden for doctors, but also there are individual differences in the diagnosis results among doctors. The present invention automatically generates a waveform of one PQRSTU signal as a model from a plurality of waveforms displayed on an electrocardiogram.
JP 2002-224067 A

  As described above, with conventional analytical instruments, the signal is quasi-periodic, but if the period is disturbed, it cannot simply be added up or integrated, so higher order processing of the signal can be performed. There was no problem.

  The present invention has been made to solve such problems, and an object of the present invention is to provide a heart rate measurement system and method capable of adding and integrating quasi-periodic signals.

  A heartbeat measurement system according to the present invention is a heartbeat measurement system comprising a signal detection device, a signal processing device connected to the signal detection device, and a display device connected to the signal processing device, wherein the signal The detection device includes means for detecting a heartbeat signal having an irregular cycle from a measurement target, and the signal processing device time-divides the heartbeat signal, and a continuous signal of the heartbeat signal obtained by time division Means for detecting the peak value of the heartbeat signal from the comparison result, means for generating a peak value group of heartbeat units of the heartbeat signal having one or a plurality of the peak values, and the peak value group Means for normalizing each peak value of the peak value group by dividing each peak value of the peak value group by the maximum peak value of the signal, and the display device includes the signal processing device The heart rate signal processed by And it has a means for. With such a configuration, a quasi-periodic signal can be normalized.

  The means for detecting the peak value of the signal processing device in the heart rate measurement system described above time-divides the heartbeat signal, and obtains a continuous signal of the heartbeat signal obtained by time-division that is equal to or greater than a certain peak value. The peak value of the heartbeat signal may be detected from the comparison result. Thereby, a quasi-periodic signal can be normalized. Also, the overall processing time can be made efficient.

The signal processing apparatus in the above heart rate measurement system may further include means for indexing the result after the normalization. As a result, it is possible to reveal the fine structure of the signal, which has been often overlooked.

  The signal processing device in the heart rate measurement system described above collects signals having the maximum peak value of all the peak value groups in a signal having the maximum peak value of any one of the peak value groups, You may make it further have a means to integrate | accumulate and average the signal which has each said peak value of a peak value group. As a result, it is possible to reduce the error calculation intervention in the single data recording. Further, since the peak value of the peak is standardized, different signals can be compared with each other, and a highly reliable index can be obtained.

The signal processing device in the heart rate measurement system described above is obtained by multiplying the peak value after the averaging and the half-value width of the heart rate signal having the peak value as an area of the heart rate signal having the peak value, You may make it further have a means to calculate the ratio of each area. This makes it possible to compare the vitality of the “atrium” and “ventricle”, as well as the non-adiabatic relaxation of “blood flow itself” and “between the blood flow and the heart wall” regarding the distribution of vitality in the ventricle. The ratio can be estimated.

A heartbeat measuring method according to the present invention is a heartbeat measuring method in a signal detection device, a signal processing device connected to the signal detection device, and a display device connected to the signal processing device, and is irregularly measured from a measurement object. A signal detection step for detecting a heartbeat signal of the estrous cycle, time-division of the heartbeat signal, comparison of continuous signals of the heartbeat signal obtained by time-division, and a peak value of the heartbeat signal from the comparison result Detecting, generating a peak value group of heart rate units of the heartbeat signal having one or a plurality of the peak values, and each peak of the peak value group with the maximum peak value of the peak value group A signal processing step including the step of normalizing each peak value of the peak value group by dividing the value, and a display step including a step of displaying the normalized result of the signal processing device. It is that a flop. By such a method, a quasi-periodic signal can be normalized.

  The step of detecting the peak value in the signal processing step in the heart rate measurement method described above includes time-dividing the heartbeat signal, and obtaining a continuous signal of the heartbeat signal obtained by time-division that is equal to or greater than a certain peak value. A heartbeat measuring method comprising comparing and detecting a peak value of the heartbeat signal from the comparison result. Thereby, a quasi-periodic signal can be normalized. Also, the overall processing time can be made efficient.

  The signal processing step in the above heart rate measuring method may further include a step of indexing the result after the normalization. As a result, it is possible to reveal the fine structure of the signal, which has been often overlooked.

  The signal processing step in the heart rate measurement method described above collects signals having the maximum peak value of all the peak value groups in a signal having the maximum peak value of any one of the peak value groups, You may make it further have the step which integrate | accumulates and averages the signal which has this each peak value of a peak value group. As a result, it is possible to reduce the error calculation intervention in the single data recording. Further, since the peak value of the peak is standardized, different signals can be compared with each other, and a highly reliable index can be obtained.

  The signal processing step in the above-described heartbeat measurement method includes a result of multiplying the averaged peak value and a half-value width of the heartbeat signal having the peak value as an area of the heartbeat signal having the peak value, You may make it further have the step which calculates ratio of this each area. This makes it possible to compare the vitality of the “atrium” and “ventricle”, as well as the non-adiabatic relaxation of “blood flow itself” and “between the blood flow and the heart wall” regarding the distribution of vitality in the ventricle. The ratio can be estimated.

  According to the present invention, it is possible to provide a heart rate measurement system and method capable of adding and integrating quasi-periodic signals.

Embodiment 1 of the Invention
First, the configuration of the heartbeat measuring system according to the first embodiment of the present invention will be described with reference to FIG. As shown in FIG. 1, the heartbeat measurement system includes a measurement object 101, a signal detection device 102, a signal processing device 103, a display device 104, a line 105 and a line 106. The signal detection device 102 is connected to the signal processing device 103 via the line 105, and the signal processing device 103 is connected to the display device 104 via the line 106.

  The measurement target 101 is a target whose heart rate is measured by the sensor of the signal detection device 102, and is, for example, a person or an animal. The signal detection device 102 detects a heartbeat signal of the measurement target 101 using a sensor, and transmits the heartbeat signal to the signal processing device 103 via the line 105. The signal detection device 102 is an electrocardiograph, for example.

  The signal processing device 103 performs peak address detection / collection, normalization, indexization, integration / averaging, and area ratio calculation for the heartbeat signal received from the signal detection device 102 via the line 105, and results thereof. Is transmitted to the display device 104 via the line 106. The signal processing device 103 is a server, for example. The server performs the main operation of the system and is configured by a server, a computer, and the like. However, it is not necessary to be physically single, and a configuration in which processing is performed in a distributed manner may be employed.

  The display device 104 displays a waveform signal received from the signal processing device 103 via the line 106, and includes an output unit such as a CRT, a liquid crystal display, or a printer. The line 105 is for transmitting the waveform signal output from the signal detection device 102 to the signal processing device 103. The line 106 is for transmitting the waveform signal output from the signal processing device 103 to the display device 104.

  Next, the configuration of the signal processing apparatus according to the present invention will be described with reference to FIG. The signal processing device 103 is configured by a computer system, and includes a control unit 201 configured by a CPU 202, a ROM 203, and a RAM 204, an input device 205, an output device 206, an input / output control circuit 207, and an information storage unit 208. The components are connected to each other by a system bus.

  The control unit 201 executes individual arithmetic processing for realizing the operation as the signal processing device 103. The CPU 202 is a central processing unit, and executes transfer and arithmetic processing based on a main program stored in the ROM 203, an application program expanded from the information storage unit 208 to the RAM 204, temporarily stored data, and the like. The RAM 204 functions as a storage unit that temporarily stores data.

  The input device 205 is a data input device such as a keyboard and a mouse. Data can be input to the information storage unit 208 by the input device 205. The output device 206 is a display device such as an LCD or a CRT, or a printing device (printer). The input / output control circuit 207 performs control for executing data input / output with an external system such as the signal detection device 102 or the display device 104.

  The information storage unit 208 is a storage unit (storage unit) that stores information according to the present invention, and includes a memory, a hard disk, and the like. The information storage unit 208 according to the present invention includes a heartbeat signal information storage unit 209, a waveform signal information storage unit 210, and a program information storage unit 211.

The heartbeat signal information storage unit 209 stores information on the heartbeat signal shown in FIG. The waveform signal information storage unit 210 compares the heartbeat signal intensity, time width, each division point after the heartbeat signal is time-divided, addresses assigned to each division point, and successive addresses into a larger address. A difference obtained by subtracting the intensity corresponding to the small address from the corresponding intensity, the peak address of the heartbeat signal, the peak address information P, the peak address group information P _k , the maximum intensity I _k0 , the logarithmic function L, the function N for calculating the half width, Waveform signal areas AP, AR, AT, and peak ratios P, R, and T with respect to the waveform signal having peaks P, R, and T, and the half-value widths LP, LR, and LT of peaks P, R, and T Information is stored.

  The program information storage unit 211 stores a peak address detection program, a peak address batch acquisition program, an intensity normalization program, an intensity indexing program, a waveform signal integration / averaging program, and an area ratio calculation program.

  Subsequently, processing of the heartbeat measuring system according to the present invention will be described with reference to FIGS. 3 and 4. FIG. 3 shows a heartbeat signal. In the figure, the vertical axis represents intensity (unit: mV), and the horizontal axis represents time (unit: second). FIG. 4 shows the waveform signal. The explanation of the vertical axis and the horizontal axis in FIG. In the figure, P, Q, R, S, T, and U indicate peaks, M indicates a time width, and D1, D2, and D3 indicate division points, respectively.

  The sensor of the signal detection device 102 receives the heartbeat to be measured. The signal detection device 102 that has received the heartbeat to be measured converts the heartbeat to be measured into a signal, and transmits the signaled heartbeat signal to the signal processing device 103.

  The signal processing device 103 executes a peak address detection program stored in the program information storage unit 211 regarding the heartbeat signal. By this execution, the peak address of the waveform signal is detected. The processing of the peak address detection program will be described later.

The signal processing device 103 executes the peak address batch fetch program stored in the program information storage unit 211. By this execution, peak address group information P _k having one or a plurality of peak addresses is created. The processing of the peak address batch fetch program will be described later.

The signal processing device 103 executes an intensity normalization program stored in the program information storage unit 211. By this execution, the intensity of the peak address belonging to the peak address group information _Pk is normalized. The processing of the strength normalization program will be described later.

The signal processing device 103 executes an intensity indexing program stored in the program information storage unit 211. By this execution, the intensity of the peak address belonging to the standardized peak address group information _Pk is indexed. The processing of the intensity indexing program will be described later.

The signal processing device 103 executes a waveform signal integration / averaging program stored in the program information storage unit 211. By this execution, the waveform signals corresponding to the peak addresses belonging to the peak address group information _Pk are integrated and averaged. The processing of the waveform signal integration / averaging program will be described later.

  The signal processing device 103 executes an area ratio calculation program stored in the program information storage unit 211. By this execution, the area ratios X and Y related to the waveform signal having the peaks P, R, and T are calculated.

  Next, the processing of the peak address detection program will be described using the flowchart shown in FIG. The signal detection device 102 receives the operation of the measurement object 101 and converts the pressure into a direct current (S501). The signal detection apparatus 102 receives this direct current as a waveform signal (S502). The signal processing apparatus 103 time-divides this waveform signal by the time width M, and assigns an address to each division point that has been time-divided until the waveform signal ends (S503). Here, addresses are assigned while adding 1 in order from 1 (S503).

  Address i where the result of subtracting the strength of address i from the strength of address (i + 1) is a positive number is detected (S504 to S506). 1 is added to this address i, and an address i in which the result of subtracting the strength of the address i from the strength of the address (i + 1) becomes a negative number is detected (S507, S508). This address i is detected as a peak address and stored in the peak address information P stored in the waveform signal information storage unit 210 (S509). Such processing is repeated until the waveform signal is completed. When the waveform signal is completed, the processing of the peak address detection program is completed (S510). When the processing of the peak address detection program is completed, all peak addresses of the waveform signal are stored in the peak address information P.

  In the flowchart shown in the figure, processing is performed based on the following idea. First, consider the difference in intensity between adjacent dividing points. If there is no signal, the difference is zero. However, if a signal occurs, the difference obtained by subtracting the strength of the address i from the strength of the address (i + 1) indicates a positive value. When a signal is sent, this difference is positive for a while, becomes negative when the signal peak ends for a while, and finally becomes zero again.

Next, processing of the peak address batch fetch program will be described using the flowchart shown in FIG. The peak address batch fetch program extracts six peak addresses from the top of the peak address information P and stores them in the peak address group information _Pk (S601 to S606). That is, six peak addresses are stored as one group in the peak address group information _Pk . Here, six peaks are grouped as one. The peaks of the “heart rate signal” displayed on the electrocardiograph record are named P, Q, R, S, T and U. This is because it is known that such six peaks are repeatedly displayed. Such processing is repeated until the waveform signal is completed, and when the peak address information is completed, the peak address batch loading program is completed (S607). When this peak address batch loading program is completed, peak address group information _Pk is created with six peak addresses as one group.

  In the flowchart shown in the figure, processing is performed based on the following idea. Even if there is a disturbance in the period, it is intended to receive signals of similar shape quasi-periodically, and since these signals should be received quasi-periodically, they are all recorded. Here, the target signal is not necessarily a single peak signal, but a peak group in which several peaks are superimposed. A single peak signal may be considered a special case of this group.

Next, the processing of the strength normalization program will be described using the flowchart shown in FIG. The intensity normalization program refers to the waveform signal and the peak address group information P _k , detects the highest intensity in each peak address group information P _k , and stores the maximum intensity I stored in the waveform signal information storage unit 210. _The data is stored in _k0 (S701 to S703). With reference to the waveform signal and the peak address group information _Pk , the intensity of all the peak addresses belonging to the peak address group information _Pk is divided by, and the result is the intensity of all the peak addresses belonging to the peak address group information _Pk. (S704). When the peak address group information _Pk is finished, the intensity normalization program is finished (S705). When the process of the intensity normalization program is completed, the intensity of the peak address is normalized with the maximum intensity I _k0 in the peak address group information P _k .

In the flowchart shown in the figure, processing is performed based on the following idea. For each peak address group information, the highest intensity I _k0 of the assigned peaks, that is, the highest peak height is 1, and the intensity of each assigned peak is divided by the highest intensity I _k0 to obtain the intensity of each peak address. Standardize as maximum strength 1. That is, here, the intensity of the peak (peak) having the highest intensity in the peak address group information P _k is I _k0 . The intensity I _{kl of} each peak is divided by I _k0 and normalized. Then, all the signals are standardized with the highest strength of the wrinkles (= 1) in the peak address group information. The peak address group information P _k that is a set of 峯 is represented by P _k = ΣI _kl, where l is the 峯 number in the peak address group information and I _kl is the normalized strength. Here, k is the number of the captured signal group. Thus, the signal groups appearing at quasi-irregular periods are numbered as k = 1, 2, 3..., And the peak address group information P _k is arranged in the order of k.

Next, the processing of the intensity indexing program will be described using the flowchart shown in FIG. The intensity indexing program refers to the waveform signal and the peak address group information _Pk , takes the logarithm of the intensity of all peak addresses belonging to the peak address group information _Pk , and overwrites the result with the intensity of the waveform signal. (S801 to S803). Here, the logarithm is taken using the logarithmic function L stored in the waveform signal information storage unit 210. Until the peak address group information P _k is completed, perform ,, peak address group information P _k repeating such processing when completed, the intensity normalized program ends (S804). When the processing of the strength normalization program is completed, the peak address strength is indexed.

In the flowchart shown in the figure, processing is performed based on the following idea. If the index of the normalized intensity I _kl of each signal is obtained and displayed, an index display of the intensity I _kl of each normalized and integrated peak can be obtained. The graph of the exponent display is an exponential representation of the intensity of the irregular periodic signal that could not be made so far.

Next, the processing of the waveform signal integration / averaging program will be described using the flowchart shown in FIG. The waveform signal integration / averaging program refers to the waveform signal and the peak address group information P _k , adds the six peak address intensities belonging to all the peak address group information P _k , and adds them to the peak address intensity model V. Store (S901-S904). The intensity of the peak address intensity V is divided by k and stored in the peak address intensity model V stored in the waveform signal information storage unit 210 (S905). When the processing of the waveform signal integration / averaging program is completed, the waveform signals formed by all the peak address group information _Pk are averaged. This is a model of the waveform signal formed by the peak addresses of P, Q, R, S, T and U.

  In the flowchart shown in the figure, processing is performed based on the following idea. k pieces of peak address group information can be overlapped and integrated. This is an integration of all integrated signals, and each signal should be enhanced in intensity based on the integration. Each signal 峯 has a significant fine structure. Conventionally, as long as a single record is viewed, there is a problem that the signal intensity is so weak that it does not appear on the record. According to the present invention, standardized signals can be added and integrated, and it can be said that the fine structure of the signal that has been apt to be overlooked has been revealed. This means that the fine structure of the signal source can be captured and is a contribution of the present invention.

  Next, the processing of the area ratio calculation program will be described using the flowchart shown in FIG. The areas of peaks P, R, and T are calculated. Here, the area of each peak is calculated by multiplying the half-value width calculated using the function N for calculating the half-value width stored in the waveform signal information storage unit 210 by the intensity of the waveform signal ( S1003). The area of the peak P is AP, the area of the peak R is AR, and the area of the peak T is AT, and is stored in the waveform signal information storage unit 210 (S1004). Area ratio X (ratio between atrioventricular blood volume and ventricular blood volume) and Y (ratio between vertical and horizontal relaxation of blood delivered from the ventricle) are calculated by calculating (AR + AT) / AP and AR / AT, respectively. (S1005).

  In the flowchart shown in the figure, processing is performed based on the following idea. A comparison of the area of the “P wave” and “R wave + T wave” can compare the vitality of the atrium and the ventricle only from the record of a typical normal person, and also the vitality of the ventricle from the area ratio of the R wave and the T wave. The ratio of non-thermal relaxation between “adiabatic relaxation within the blood flow itself” and “between the blood flow and the heart wall” is estimated.

  Such a series of processes is effective for revealing minute and minute secondary signals that are swayed by the main signal. This secondary signal corresponds to the fine structure of the signal source. If a signal source has a substantial amount of volume and the corresponding signal source surface area has a significant amount of space, the attributes of the signal source are projected onto the signal microstructure, which is the signal microstructure. If the half-width described above can be measured, the signal source can be considered. According to the present invention, when irregular periodic signals are integrated and integrated, a large number of signals are added and averaged instead of a single shot. As a result, it is expected that even weak signals associated with high-intensity signals will be examined with improved accuracy and accuracy. If the measurement record result is shown as an index, it is considered to be more effective.

Embodiment 2 of the Invention
Next, processing of the heartbeat measurement system according to the second exemplary embodiment of the present invention will be described using FIG. 11 and FIG. The configuration of the heartbeat measurement system, the configuration of the signal processing device, and the heartbeat signal according to the second embodiment of the present invention are the same as those shown in FIGS. FIG. 11 shows the waveform signal. The vertical axis, horizontal axis, P, Q, R, S, T, U, M, D1, D2, and D3 in FIG. In the figure, I _max represents the maximum intensity, I _min represents the minimum intensity, and I _slice represents the slice width.

The operation of the measurement object is received by the signal detection device, and the stress is converted into a direct current (S1201). The signal detector receives the direct current as a waveform signal (S1202). The waveform signal is time-divided by the signal processing device, and until the waveform signal is completed, addresses are assigned to the division points divided in time while adding 1 in order from 1 (S1203). The maximum intensity I _max and the minimum intensity I _min are detected from the waveform signal (S1204). The slice width I _slice is calculated from I _slice = (I _max −I _min ) × α (S1205). Here, α is a constant that can be arbitrarily set to satisfy the condition of 0 <α <1. In order to increase the efficiency of the entire processing time, it is necessary to reduce the value of α. To generate a highly accurate waveform signal model, it is necessary to increase the value of α.

Peak address group information P _{k equal to} or higher than I _slice is detected from the waveform signal (S1206). The highest intensity I _k0 is detected in the peak address group information P _k (S1207). A waveform signal group having a certain time width is extracted from the waveform signal with reference to the peak address of the highest intensity I _k0 of each peak address group information P _k (S1208). Each extracted waveform signal group is normalized and indexed (S1209). The normalization / indexation here is basically the same as the normalization / indexation in the first embodiment of the present invention. The peak addresses of the highest intensity I _k0 of all the peak address group information P _k are collected at the peak addresses of the highest intensity I _k0 of each peak address group information P _{k and} are integrated and averaged (S1210). The integration / averaging here is basically the same as the integration / averaging in Embodiment 1 of the present invention.

  By such a series of processing, it is not necessary to detect all the peak addresses of the waveform signal as compared with the first embodiment of the invention, and only the peak address of only the limited waveform signal having the peak R is detected. Therefore, the efficiency of the entire processing time can be improved.

  Furthermore, the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present invention described above.

It is a block diagram of the heart rate measuring system concerning this invention. It is a functional block diagram of the signal processing apparatus concerning this invention. It is a wave form diagram which shows the heart rate signal concerning this invention. It is a wave form diagram which shows the waveform signal concerning this invention. It is a flowchart of the peak address detection program concerning this invention. It is a flowchart of the peak address batch loading program concerning this invention. It is a flowchart of the intensity | strength normalization program concerning this invention. It is a flowchart of the intensity | strength indexing program concerning this invention. It is a flowchart of the waveform signal integration / averaging program according to the present invention. It is a flowchart of the area ratio calculation program concerning this invention. It is a wave form diagram which shows the waveform signal concerning this invention. It is a flowchart which shows the process of the heart rate signal system concerning this invention.

Explanation of symbols

101 Measurement Object 102 Signal Detection Device 103 Signal Processing Device 104 Display Device

Claims (10)

A heartbeat measurement system comprising a signal detection device, a signal processing device connected to the signal detection device, and a display device connected to the signal processing device,
The signal detection device includes means for detecting a heartbeat signal having an irregular period from a measurement target;
The signal processing device time-divides the heartbeat signal, compares continuous signals of the heartbeat signals obtained by time-division, and detects a peak value of the heartbeat signal from the comparison result; Or a means for generating a peak value group of heart rate signals of the heartbeat signal having a plurality of peak values, and dividing each peak value of the peak value group by the maximum peak value of the peak value group, Means for normalizing each peak value of the peak value group,
The heart rate measuring system, wherein the display device has means for displaying the heart rate signal processed by the signal processing device.   The means for detecting the peak value time-divides the heartbeat signal, compares successive signals of the heartbeat signal obtained by time-division that is equal to or greater than a certain peak value, and based on the comparison result, The heart rate measurement system according to claim 1, wherein a peak value is detected.   The heartbeat measuring system according to claim 1 or 2, wherein the signal processing device further includes means for indexing the result after the normalization.   The signal processing device collects signals having the maximum peak value of all the peak value groups in a signal having the maximum peak value of any of the peak value groups, and each of the peak value groups 4. The heart rate measurement system according to claim 1, further comprising means for integrating and averaging signals having peak values.   The signal processing device takes the result of multiplying the averaged peak value and the half-value width of the heartbeat signal having the peak value as the area of the heartbeat signal having the peak value, and calculating a ratio of the areas. 5. The heartbeat measuring system according to claim 4, further comprising means for calculating. A heart rate measurement method in a signal detection device, a signal processing device connected to the signal detection device, and a display device connected to the signal processing device,
A signal detection step for detecting a heartbeat signal having an irregular period from the measurement target;
Time-dividing the heartbeat signal, comparing successive signals of the heartbeat signal obtained by time-division, detecting a peak value of the heartbeat signal from the comparison result, and one or a plurality of the peak values Generating a peak value group of heart rate units of the heartbeat signal having the peak value group, and dividing each peak value of the peak value group by the maximum peak value of the peak value group, A signal processing step comprising normalizing each peak value;
A heart rate measuring method comprising: a display step including a step of displaying the standardized result of the signal processing device.   The step of detecting the peak value includes time-dividing the heartbeat signal, comparing successive signals of the heartbeat signal obtained by time-division that is equal to or greater than a certain peak value, and comparing the heartbeat signal based on the comparison result. The heart rate measuring method according to claim 6, wherein a peak value is detected.   The heart rate measuring method according to claim 6 or 7, wherein the signal processing step further includes a step of indexing the result after the normalization.   The signal processing step collects signals having the maximum peak values of all the peak value groups in a signal having the maximum peak value of any of the peak value groups, and each of the peak value groups 9. The heartbeat measuring system according to claim 6, 7 or 8, further comprising a step of integrating and averaging signals having peak values.   In the signal processing step, a result of multiplying the peak value after the averaging and a half-value width of the heartbeat signal having the peak value is defined as an area of the heartbeat signal having the peak value, and a ratio of the areas is calculated. The heart rate measurement system according to claim 9, further comprising a step of calculating.

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