Pulsation measuring apparatus and pulsation measuring method

Abstract

The pulsation is measured, and the pulse transit time (PTT) is measured by selecting the pulsation at two places where the displacement of the skin is large.SOLUTION: A pulsation measuring device 1 includes a radar device 2 and a signal processing device 3, and the radar device 2 is provided at least at three positions where the skin of a human body H can be scanned and scans the skin at the positions to output radar data as a biological signal. The signal processing device 3 acquires the output radar data, detects the displacement of the skin in the vertical direction at the position of the human body H scanned by the radar device 2 to specify the pulsation of the human body H, selects two places of the biological signal of the human body H where the displacement of the skin of the human body H is large, and calculates the pulse transit time (PTT) between the two places.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a pulsation measuring device and a pulsation measuring method for measuring pulsation from biosignals of the human body. [Background technology]

[0002] The state of arteriosclerosis is measured during medical checkups and other examinations at medical institutions. Pulse wave velocity (PWV) is used as a test method to measure the progression of arteriosclerosis. PWV is a value calculated by measuring pulse waves generated by pulsation at any two locations on the human body, and then calculating the time difference between these pulse waves, known as the pulse transit time (PTT), and the length of the blood vessel between the two locations. It is also known that PWV correlates with blood pressure. Therefore, PWV is an important indicator for early detection of not only arteriosclerosis but also heart disease such as hypertension and myocardial infarction.

[0003] A conventional method for measuring PWV is the cuff method, in which a cuff is wrapped around the arm or leg of the human body and a pressure sensor attached to the cuff is used to measure the pulse wave. Also, a device that measures PWV using an optical sensor is known as a method that does not use a cuff (see Patent Documents 1 and 2). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2023-060172 [Patent Document 2] Japanese Patent Application Laid-Open No. 2016-168177 Summary of the Invention [Problem to be solved by the invention]

[0005] In the case of non-contact pulse measurement devices that do not use a cuff, the pulse is determined by measuring the displacement of the skin caused by the pulse. However, the displacement of the skin caused by the pulse varies greatly from person to person, and even for the same person, the displacement varies depending on the measurement location, requiring adjustment of the measurement position. This makes measuring PWV time-consuming.

[0006] Therefore, the object of this invention is to provide a pulsation measuring device and a pulsation measuring method that can reduce the amount of work required by measuring pulsation at at least three locations and selecting and measuring pulsation at two locations where the skin displacement is large. [Means for solving the problem]

[0007] In order to solve the above-mentioned problems, the pulse measuring device of the present invention is a pulse measuring device comprising a radar unit that receives the reflected waves of the radio waves irradiated to the skin of the human body and acquires a biosignal, and a signal processing unit that analyzes the waveform of the biosignal, detects the displacement of the skin of the human body, and identifies the pulsation of the human body, characterized in that the radar unit acquires the biosignals of at least three locations of the human body, and the signal processing unit selects two locations of the biosignals of the human body that have the largest displacement of the skin of the human body from the locations of the acquired biosignals of the human body, identifies the pulsation of the human body at the two selected locations, and calculates the pulse wave propagation time between the two locations.

[0008] The pulsation measuring device of the present invention can also be configured such that described signal processing unit, for each location of the waveform of described biosignal, identifies the displacement caused by heartbeat and the displacement caused by noise, calculates the ratio of the displacement caused by heartbeat and the displacement caused by noise, and selects the two locations of the biosignal of the human body that have the largest value as the location of the skin of described human body that has the largest displacement.

[0009] In the pulsation measuring device according to the present invention, the signal processing unit may perform a Fourier transform on the waveform of the biological signal and identify the displacement due to the heartbeat and the displacement due to noise for each acquired location.

[0010] The pulse measuring device according to the present invention may be configured such that the signal processing unit acquires the distance between the two selected locations of the human body where the skin displacement is large, and calculates the pulse wave propagation velocity based on the acquired distance and the pulse wave propagation time between the two selected locations.

[0011] The pulse measurement method of the present invention comprises the steps of: acquiring a biological signal output from a radar device that receives reflected waves of radio waves irradiated onto the skin of a human body and acquires the biological signal; and analyzing the waveform of the biological signal, detecting displacement of the skin of the human body, and identifying the pulse of the human body, wherein the radar device acquires biological signals from at least three locations on the human body; and in the process of identifying the pulse of the human body, selects two locations of the biological signal of the human body that have large displacement of the skin of the human body from the locations of the acquired biological signals of the human body, identifies the pulse of the human body at the two selected locations, and calculates the pulse wave propagation time between the two locations. [Effects of the Invention]

[0012] According to the pulse measurement device and pulse measurement method of the present invention, biosignals are acquired from at least three locations on the human body, and two locations with the largest skin displacement are selected from the acquired biosignals. The pulses at those locations are identified and the pulse wave transit time between those two locations is calculated. This allows for high-precision measurement of the pulse, as individual differences in skin displacement between subjects and differences in skin displacement due to measurement positions are smoothed out. This reduces the effort required to measure PWV.

[0013] According to the pulsation measuring device of the present invention, the displacement due to heartbeat and the displacement due to noise are identified for each location where a biosignal is acquired, the ratio of the displacement due to heartbeat and the displacement due to noise is calculated, and the two locations with the largest value are selected as locations where the skin displacement of the human body is large.Furthermore, a Fourier transform is performed on the waveform of the biosignal, and the displacement due to heartbeat and the displacement due to noise are identified for each acquired location.Therefore, the individual differences in the skin displacement of the subject and the differences in the skin displacement depending on the measurement location can be more accurately equalized, and the pulsation can be measured with higher accuracy.

[0014] The pulse measurement device according to the present invention acquires the distance between two locations of large displacement of the skin of the human body selected as locations for acquiring biosignals, and calculates the pulse wave velocity based on the acquired distance and the pulse wave transit time between the two selected locations, thereby enabling highly accurate measurement of the pulse wave velocity. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a functional block diagram showing a schematic configuration of a pulsation measuring device 1 according to an embodiment of the present invention. [Figure 2] FIG. 2 is a functional block diagram showing the signal processing device 3 of FIG. [Figure 3] 2 is a flowchart showing a pulsation measurement process performed by the pulsation measuring device 1 of FIG. [Figure 4] 2A and 2B are diagrams showing examples of power spectrum waveforms of biological signals acquired by the radar device 2 of FIG. 1, where (A) is a waveform at timings other than heartbeats, and (B) is a waveform at timings of heartbeats. [Figure 5] 2 is a diagram showing an example of a continuous heartbeat waveform acquired by the radar device 2 of FIG. 1. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0016] The present invention will be described below based on the illustrated embodiments. The following description and drawings are examples for explaining the present invention, and appropriate omissions and simplifications have been made for clarity of explanation. The present invention can be implemented in various other forms. Unless otherwise specified, each component may be singular or plural. In the following description, the same components are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed descriptions thereof will not be repeated.

[0017] <1. Configuration of Pulsation Measuring Device 1> FIG. 1 is a functional block diagram showing a schematic configuration of a pulsation measuring device 1 according to an embodiment of the present invention.

[0018] As shown in Fig. 1, the pulse measuring device 1 is a device that measures the pulse of the human body by irradiating the skin with radar-like radio waves and receiving the reflected waves, and is mainly equipped with a radar device (radar unit) 2 and a signal processing device (signal processing unit) 3. To measure the state of arteriosclerosis in the human body, for example, the pulse measuring device 1 measures pulse waves caused by pulsation at any two locations on the human body and measures the time difference between them, namely, the pulse wave transit time (PTT). The pulse measuring device 1 also measures the pulse wave velocity (PWV) from the time difference between the PTTs at the two locations and the length of the blood vessel between the two locations.

[0019] The radar device 2 includes a transmitting unit and a receiving unit, and is a device that transmits and receives radar radio waves. As shown in Fig. 1, the radar device 2 is provided at a plurality of locations, at least three locations (four locations in the example shown in Fig. 1), at positions where the skin of the human body H can be scanned, and is configured to scan the skin at those locations. The radar device 2 may be provided at a location on the human body H where the skin of the human body H can be scanned, but it is desirable that the scannable locations are spaced apart to a certain extent, and the radar device 2 may be provided at least one location each at positions where the upper body and lower body can be scanned, as shown in Fig. 1.

[0020] The radar system of the radar device 2 may be any radar system capable of detecting vertical displacement of the skin due to heartbeat, and may be, for example, a single-frequency CW (Continuous Wave) radar, a Doppler radar, or an FMCW (Frequency Modulated-Continuous Wave) radar. The radar device 2 performs a radar scan by scanning the skin of the human body, and outputs the acquired radar data.

[0021] In the FMCW method, a frequency-modulated continuous wave (specifically, radio waves; equivalent to a transmission signal) is transmitted as a transmission wave, and a reflected wave (specifically, radio waves; equivalent to a reception signal) that is reflected back from the surface of the skin of the human body H is received, and the distance between the radar device 2 and the human skin is calculated by analyzing the difference between the transmitted wave and the received wave (reflected wave) (in other words, the frequency difference between the transmitted wave and the received wave).

[0022] FMCW radar is a continuous wave radar that modulates frequency over time, generating and transmitting (in other words, emitting or radiating) a burst wave containing multiple chirps. Each chirp contained in the burst wave is generated by sweeping the frequency over time, so that the frequency changes linearly (specifically, increases / decreases) over time. The modulation width and modulation period of the chirp frequency (i.e., the chirp repetition period) may be adjusted as appropriate.

[0023] Here, multiple chirps are transmitted at a predetermined time interval, and a series of multiple chirps configured as a single unit is called a "chirp frame." One chirp frame corresponds to one radar scan, and each chirp frame is processed independently.

[0024] The transmitter of the radar device 2 is configured as a mechanism including, for example, a voltage generator, a voltage-controlled oscillator, etc. The voltage generator generates and outputs a control voltage that changes in a triangular (or sawtooth) waveform, with successive alternating periods where the level gradually increases and periods where the level gradually decreases on the time axis. The voltage-controlled oscillator generates and outputs a transmission signal that changes in a triangular (or sawtooth) waveform, with successive alternating periods where the modulation period gradually increases the frequency on the time axis and periods where the frequency gradually decreases, in response to the control voltage.

[0025] The receiving unit of the radar device 2 is configured as a mechanism including, for example, a receiving antenna, a mixer, and an A / D converter. The receiving antenna receives radio waves (i.e., transmitted waves) emitted from the transmitting antenna of the transmitting unit as received waves, converts the received received waves / reflected waves into received signals, and outputs the received signals. The mixer mixes the radio waves (transmitted signals) distributed and transmitted from the transmitting unit with the radio waves (received signals) output from the receiving antenna to generate and output a differential signal (an analog signal). The A / D converter performs sampling processing (in other words, analog-to-digital conversion processing) on ​​the differential signal output from the mixer using a predetermined sampling frequency, converts the differential signal into digital data, and outputs the digitized differential signal.

[0026] The differential signal as radar data output from the radar device 2 after a radar scan is a signal having a frequency component that is the difference between the frequency component of the radio wave (transmission signal; i.e., local signal) distributed and transmitted from the transmitter and the frequency component of the radio wave (reception signal) output from the receiving antenna (i.e., a signal having a beat frequency, also called a "beat signal").

[0027] Every time a radar scan is performed, radar data is output from the radar device 2 and input to the signal processing device 3.

[0028] The signal processing device 3 performs frequency analysis of the radar data output from each of the multiple radar devices 2, and uses the frequency analysis results to calculate the distance to the skin of the human body H that reflected the transmitted wave, and detects vertical displacement of the skin due to the heartbeat of the human body H. The signal processing device 3 acquires the radar data output from each of the radar devices 2 as a biological signal of the human body H, and detects vertical displacement of the skin at the position of the human body H where the radar device 2 is installed. Furthermore, the signal processing device 3 selects two locations with large displacement from the vertical displacement of the skin at each of the positions where the radar devices 2 are installed, identifies the pulsation of the human body H at the selected two locations, and calculates the PTT between the two locations.

[0029] Fig. 2 is a functional block diagram showing the signal processing device 3 of Fig. 1. As shown in Fig. 2, the signal processing device 3 functions as a communication unit 31, a storage unit 32, and a control unit 33.

[0030] The communication unit 31 is a communication interface for communicating with the radar device 2 via a wired or wireless network, and any communication protocol may be used as long as mutual communication is possible.

[0031] Furthermore, the communication unit 31 performs the function of receiving radar data acquired by the radar device 2 under the control of the control unit 33.

[0032] The storage unit 32 stores programs and input data for executing various control processes and functions in the control unit 33, and is composed of memories including RAM (Random Access Memory), ROM (Read Only Memory), etc., and storages including HDD (Hard Disk Drive), SSD (Solid State Drive), DRAM (Dynamic Random Access Memory), etc. The storage unit 32 also stores a subject database 321. Furthermore, the storage unit 32 temporarily stores data obtained when communication is performed with the radar device 2 and data generated in each process described below.

[0033] The subject database 321 stores various information about the subject (human body H shown in FIG. 1) whose pulse wave is to be measured, such as information about attributes such as age and sex, information about physique such as height and weight, and information about medical history. The subject database 321 may also store information about the distance between the radar device 2 when the radar device 2 is used to scan the human body H.

[0034] The control unit 33 is a mechanism for controlling each component of the pulsation measuring device 1 and controls the overall operation of the signal processing device 3 by executing a program stored in the storage unit 32. The control unit 33 is hardware for executing an instruction set written in the program, and is composed of an arithmetic unit, registers, peripheral circuits, etc. The control unit 33 is composed of at least one processor, typically a microprocessor such as a CPU (Central Processing Unit), but may also be other types of processors including an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), a microprocessor, a processor core, or a multiprocessor. The at least one processor may be a single-core or multi-core processor. The at least one processor may also be a broader processor, such as a hardware circuit (e.g., an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit)) that performs part or all of the processing. The functions of the control unit 33 include a biological signal processing unit 331, a biological signal selection unit 332, a pulse wave transit time calculation unit 333, and a pulse wave velocity calculation unit 334. The biological signal processing unit 331, the biological signal selection unit 332, the pulse wave transit time calculation unit 333, and the pulse wave velocity calculation unit 334 are activated by a program stored in the storage unit 32 and executed by the server device 20.

[0035] The biological signal processor 331 controls a process for identifying displacement due to heartbeat and displacement due to noise for each acquired location of the radar data waveform as a biological signal transmitted from the radar device 2 and acquired by the communication unit 31. The biological signal processor 331 first performs filtering using a band-pass filter, differential processing, etc. to remove low-frequency components from the radar data. Next, it measures changes in the Doppler spectrum of the radar data using a short-time Fourier transform (STFT). The change in the Doppler spectrum can be used to measure vertical displacement of the skin of the human body H, i.e., displacement of the skin due to pulsation, so the biological signal processor 331 measures the change in the Doppler spectrum.

[0036] Then, the biological signal processing unit 331 identifies the pulsation components and noise components in the waveform (Doppler spectrum) of the radar data as a biological signal, and calculates the ratio of the pulsation components to the noise components (PN ratio) for each location where the radar data was acquired.

[0037] The biological signal selection unit 332 controls a process of selecting two locations where the skin displacement is large from locations (measurement locations) of the biological signal of the human body H where radar data as the biological signal has been acquired. Based on the ratio (PN ratio) of the pulsation component to the noise component calculated by the biological signal processing unit 331, the biological signal selection unit 332 selects radar data (pulsation measurement locations) with a large PN ratio value as locations where the skin displacement of the human body H is large.

[0038] When selecting two locations with large skin displacement, the biological signal selection unit 332 may select the radar data with the largest PN ratio value from all of the radar data acquired from the multiple radar devices 2, or may acquire each from a specific range of the human body H, such as one piece of radar data acquired from the upper body of the human body H and one piece of radar data acquired from the lower body.

[0039] The pulse wave transit time calculation unit 333 controls the process of identifying the pulsation of the human body H at two selected locations for measuring the pulsation of the human body H from which radar data selected by the biological signal selection unit 332 was acquired, and calculating the pulse wave transit time (PTT) between the two locations. The waveform of the pulsation of the human body H identified from the radar data is a waveform in which displacement is detected at predetermined intervals like a pulse signal, so time is measured from the interval between the pulses. Then, the pulse wave transit time calculation unit 333 calculates the time difference of the waveform (for example, the time at which the waveform peaks) for the two selected locations as the PTT.

[0040] The pulse wave velocity calculation unit 334 controls the process of calculating the pulse wave velocity (PWV) based on the PTT calculated by the pulse wave transit time calculation unit 333 and the distance between the pulsation measurement points of the human body H from which the radar data selected by the biological signal selection unit 332 was acquired. The pulse wave velocity calculation unit 334 may calculate the distance between the pulsation measurement points for each PWV measurement, or may use a value stored in the subject database 321.

[0041] <2. Processing flow> An example of the flow of pulsation measurement processing (pulsation measurement method) executed by the pulsation measurement device 1 will be described with reference to Fig. 3. Fig. 3 is a flowchart showing the pulsation measurement processing by the pulsation measurement device 1 of Fig. 1.

[0042] In the process of step S1, the radar device 2 performs a radar scan while positioned so as to be able to scan the skin of the human body H, and outputs radar data as a biological signal, which is input to the signal processing device 3.

[0043] In the process of step S2, the communication unit 31 of the signal processing device 3 receives the radar data as the biological signal output in step S1.

[0044] In the process of step S3, the biological signal processing unit 331 of the signal processing device 3 filters the waveform of the radar data as the biological signal received in step S2 using a band-pass filter, differential processing, etc., to remove low-frequency components from the radar data. Since the low-frequency components of the radar data are estimated to be components due to breathing and body movement of the human body H, the low-frequency components of the radar data are removed in step S3.

[0045] In the processing of step S4, the biological signal processing unit 331 of the signal processing device 3 measures changes in the Doppler spectrum of the radar data waveform filtered in step S3 using a short-time Fourier transform (STFT), and identifies the components of skin displacement due to pulsation and noise components.

[0046] FIG. 4 is a diagram showing an example of a power spectrum waveform of a biological signal acquired by the radar device 2 of FIG. 1, where (A) is a waveform at a timing other than the heartbeat, and (B) is a waveform at the heartbeat timing.

[0047] The graph shown in Fig. 4(A) is a power spectrum waveform of a biological signal (radar data) acquired at a timing other than a heartbeat, and a waveform such as that shown by curve L1 is detected. The graph shown in Fig. 4(B) is a power spectrum waveform of a biological signal (radar data) acquired at a timing of a heartbeat, and a waveform such as that shown by curve L2 is detected. Because the processing of step S4 causes a change in the Doppler spectrum with each heartbeat of the human body H, a waveform such as that shown by curve L1 and a waveform such as that shown by curve L2 alternate.

[0048] 4(B), the peaks X1 and X2 of the waveform of the curve L2 are components of skin displacement due to the pulsation (heartbeat) of the human body H, and the ends A1 and A2 of the waveform are noise components. In this way, the processing of step S4 identifies the components of skin displacement due to pulsation and the noise components.

[0049] As processing in step S5, the biological signal processing unit 331 of the signal processing device 3 calculates the ratio (PN ratio) of the pulsation component to the noise component for the components due to pulsation and the components due to noise identified in step S4 for each location where radar data was acquired.

[0050] In the processing of step S6, the biological signal selection unit 332 of the signal processing device 3 selects radar data (pulsation measurement points) with a large PN ratio value based on the ratio of pulsation components to noise components (PN ratio) calculated in step S5 as points where the skin of the human body H has a large displacement.

[0051] As processing in step S7, the pulse wave transit time calculation unit 333 of the signal processing device 3 identifies the pulsation of the human body H at two of the measurement points of the pulsation of the human body H selected in step S6, and calculates the pulse wave transit time (PTT) between the two points.

[0052] FIG. 5 is a diagram showing an example of a continuous heartbeat waveform acquired by the radar device 2 of FIG.

[0053] The graph shown in Fig. 5 is a waveform showing the time change of the cardiac biosignal (radar data) as shown in Fig. 4(B), and the waveforms of two selected locations among the measurement locations of the pulsation of the human body H are shown by curves L3 and L4, respectively. As shown in Fig. 5, there is a time difference, indicated by arrow X3, between the peaks of curves L3 and L4, and this time difference corresponds to the PTT. In step S7, the PTT is calculated from such a time difference in the waveforms.

[0054] As processing in step S8, the pulse wave velocity calculation unit 334 of the signal processing device 3 calculates the pulse wave velocity (PWV) based on the PTT calculated in step S7 and the distance between the measurement points of the pulsation of the human body H from which radar data was acquired, selected in step S6.

[0055] The distance between the measurement points of the pulsation of the human body H used in the process of step S8 is, for example, an approximate value calculated by the following formula. Center to upper arm: 0.2195 x human body height - 2.0734 (cm) Center to thigh: 0.5643 x human body height - 18.381 (cm) Thigh to ankle: 0.2486 x human body height - 30.709 (cm)

[0056] In step S8, the height values ​​of the human body H stored in the subject database 321 may be calculated using the above formula and used as the distance between the measurement points, or the distances between the measurement points may be stored in advance in the subject database 321 and these values ​​may be used.

[0057] <3. Effects> The pulsation measuring device 1 and pulsation measurement according to the embodiment of the present invention include a radar device (radar unit) 2 and a signal processing device (signal processing unit) 3. The radar device 2 is provided at least three locations where it can scan the skin of the human body H, and scans the skin at those locations to output radar data as a biosignal. The signal processing device 3 acquires the output radar data, detects vertical displacement of the skin at the location of the human body H where the radar device 2 is provided, identifies the pulsation of the human body H, selects two locations of the biosignal of the human body H where the skin displacement is large, and calculates the pulse wave transit time (PTT) between those two locations. This allows for the pulsation to be measured with high accuracy, since individual differences in the displacement of the subject's skin and differences in skin displacement depending on the measurement location are smoothed out.

[0058] Furthermore, for the waveform (Doppler spectrum) of radar data as a biological signal, the components due to pulsation and components due to noise are identified, the ratio of the pulsation component to the noise component (PN ratio) is calculated for each location, and radar data (pulsation measurement locations) with a large PN ratio value are selected as locations where the skin displacement of the human body H is large. This allows for more accurate estimation according to distance. As a result, it is possible to more accurately equalize individual differences in the subject's skin displacement and differences in skin displacement due to measurement location, making it possible to measure pulsation with higher accuracy.

[0059] Furthermore, the pulse wave velocity (PWV) is calculated based on the calculated pulse wave transit time (PTT) and the distance between the measurement points of the pulsation of the human body H where the radar data was acquired, which allows for highly accurate measurement of the PWV.

[0060] The above describes an embodiment of the present invention, but the specific configuration is not limited to the above embodiment, and even if there are design changes within the scope of the present invention that do not deviate from the gist of the present invention, they are included in the present invention. [Explanation of symbols]

[0061] 1: Pulsation measuring device 2: Radar equipment 3: Signal processing device 20: Server device 31: Communications Department 32: Storage section 33: Control section 321: Subject database 331: Biosignal processing unit 332: Biological signal selection unit 333: Pulse wave propagation time calculation unit 334: Pulse wave velocity calculation unit

Claims

1. a radar unit that receives reflected waves of radio waves irradiated onto the skin of a human body and acquires biosignals; A signal processing unit that analyzes the waveform of the biological signal, detects the displacement of the skin of the human body, and identifies the pulsation of the human body, the radar unit acquires biosignals from at least three locations on the human body; The signal processing unit selects two locations of the acquired human body biosignal where the displacement of the skin of the human body is large, identifies the pulsation of the human body at the two selected locations, and calculates the pulse wave transit time between the two locations. A pulsation measuring device characterized by:

2. The signal processing unit identifies a displacement due to heartbeats and a displacement due to noise for each acquired location of the waveform of the biological signal, calculates a ratio between the displacement due to heartbeats and the displacement due to noise, and selects two locations of the biological signal of the human body having a larger value as locations of a larger displacement of the skin of the human body.

2. The pulsation measuring device according to claim 1.

3. The signal processing unit performs a Fourier transform on the waveform of the biological signal to identify a displacement due to heartbeats and a displacement due to noise for each acquired location.

3. The pulsation measuring device according to claim 2.

4. the signal processing unit acquires a distance between the two selected locations of the human body where the skin displacement is large, and calculates a pulse wave velocity based on the acquired distance and a pulse wave transit time between the two selected locations.

4. The pulsation measuring device according to claim 1, wherein the pulsation measuring device is a pulsation measuring device.

5. A process of acquiring a biological signal output from a radar device that receives a reflected wave of a radio wave irradiated onto human skin and acquires the biological signal; a process of analyzing a waveform of the biological signal, detecting a displacement of the skin of the human body, and identifying a pulsation of the human body, the radar device acquires biosignals from at least three locations on the human body; In the process of identifying the pulsation of the human body, two locations of the human body's biological signal where the displacement of the skin of the human body is large are selected from the locations of the acquired biological signal of the human body, the pulsation of the human body at the two selected locations is identified, and a pulse wave propagation time between the two locations is calculated. A pulsation measurement method characterized by:

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