Biometric information display device and method for displaying biological information

Abstract

To provide a biological information display device and a biological information display method that allow an autonomic nerve activity of a subject to be grasped in an easy-to-understand manner.SOLUTION: A biological information display device includes: an HRV measuring unit for measuring HRV of a subject for a plurality of unit measurement periods; a frequency analysis unit for acquiring a power spectrum of each of HRV measurement results in the plurality of unit measurement periods measured by the HRV measuring unit; a three-dimensional HRV graph creation unit for creating a three-dimensional HRV graph consisting of a frequency component, a power component, and a time component by sequentially arranging the power spectrums of the HRV in the plurality of unit measurement periods acquired by the frequency analysis unit in a time direction; a display unit for displaying the three-dimensional HRV graph; and a display control unit capable of changing the view point of the three-dimensional HRV graph.SELECTED DRAWING: Figure 2

Description

Technical Field

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[0001] The present invention relates to a biological information display device and a biological information display method for displaying HRV (Heart Rate Variability) as biological information.

Background Art

[0002] Conventionally, there is an HRV measurement test as a test for grasping the autonomic nerve activity of a subject. The HRV measurement test is a test for grasping the autonomic nerve activity of a subject by detecting heartbeat fluctuations and heartbeat variations based on the RR interval of the electrocardiogram of the subject. Based on the measurement results of HRV, it becomes possible to evaluate heart diseases related to the autonomic nerves and autonomic nerve disorders due to diabetes. Generally, the HRV measurement test is performed by measuring the electrocardiogram of a subject lying supine on a bed, similar to a resting electrocardiogram test.

[0003] Regarding the measurement of HRV, for example, it is described in Patent Document 1.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, since HRV varies greatly among subjects, it is difficult to accurately grasp the autonomic nerve activity of a subject based only on one HRV.

[0006] The present invention has been made in consideration of the above points, and provides a biological information display device and a biological information display method capable of more easily grasping the autonomic nerve activity of a subject.

Means for Solving the Problems

[0007] One embodiment of the present invention's biometric information display device is: An HRV measurement unit that measures the subject's HRV (Heart Rate Variability) over multiple measurement periods, A frequency analysis unit obtains the power spectrum of each of the HRV measurement results for the plurality of unit measurement periods measured by the HRV measurement unit, A 3D HRV graph creation unit creates a 3D HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for multiple unit measurement periods obtained by the frequency analysis unit in the time direction. A display unit for displaying the aforementioned three-dimensional HRV graph, A display control unit that can change the viewpoint of the three-dimensional HRV graph, It is equipped with.

[0008] One aspect of the biological information display method of the present invention is: The steps include measuring the subject's HRV over multiple measurement periods, The steps include: determining the power spectrum of each HRV for the multiple measurement periods measured; The steps include creating a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the multiple unit measurement periods obtained in the time direction, The steps include displaying the created 3D HRV graph, The steps include changing the viewpoint of the aforementioned 3D HRV graph, Includes. [Effects of the Invention]

[0009] According to the present invention, a bio-information display device and a bio-information display method can be realized that allow for a clearer understanding of the autonomic nervous system activity of a subject. [Brief explanation of the drawing]

[0010] [Figure 1] Block diagram showing the overall configuration of the blood pressure pulse wave analysis device according to the embodiment. [Figure 2] Block diagram showing the main component configuration of the embodiment [Figure 3] Figure showing an example of a power spectrum for one unit measurement period obtained by the frequency analysis unit [Figure 4] Figure showing an example of a 3D HRV graph obtained by the 3D HRV graph creation unit

Mode for Carrying Out the Invention

[0011] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0012] <1>Overall configuration of the blood pressure pulse wave inspection device FIG. 1 is a block diagram showing the overall configuration of a blood pressure pulse wave inspection device according to an embodiment of the present invention.

[0013] In FIG. 1, in the main body 1a of the blood pressure pulse wave inspection device 1, there are provided an arithmetic processing unit 10, an input unit 70, a display unit 80, a display control unit 81, a printing unit 91, a storage unit 92, an audio output unit 93, a blood pressure pulse wave measurement unit 30, a heart sound measurement unit 40, an electrocardiogram measurement unit 50, and a pulse wave measurement unit 60.

[0014] The blood pressure pulse wave measurement unit 30 has an upper arm measurement control unit 31 and a lower limb measurement control unit 32. The upper arm measurement control unit 31 is connected to a right upper arm cuff 21R and a left upper arm cuff 21L via hoses 21h, respectively, and the lower limb measurement control unit 32 is connected to a right ankle cuff 22R and a left ankle cuff 22L via hoses 22h, respectively.

[0015] The blood pressure pulse wave measurement unit 30 has an oscillometric blood pressure measurement function and an air bag type pulse wave measurement function.

[0016] The upper limb measurement and control unit 31 includes a pressure sensor 33, a signal processing circuit that performs predetermined signal processing such as amplification on the detection signal from the pressure sensor 33, a pump and an exhaust valve for supplying and discharging air to and from the cuffs 21R and 21L, and a computer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), various interfaces, etc. The upper limb measurement and control unit 31 pressurizes the internal pressure of the cuffs 21R and 21L (hereinafter, the internal pressure of the cuff is referred to as "cuff pressure") by introducing air into the rubber bladders of the cuffs 21R and 21L via the hose 21h, and减压 the cuff pressure of the cuffs 21R and 21L by discharging air from the rubber bladder. The cuff 21R is attached to the right upper arm of the subject, and the cuff 21L is attached to the left upper arm of the subject. The target value of the cuff pressure after pressurization is different between the case of pulse wave measurement and the case of blood pressure measurement, and can be set individually for each case.

[0017] In the case of pulse wave measurement, the upper limb measurement and control unit 31 detects the fluctuations in the cuff pressure of the cuffs 21R and 21L after pressurization as a pulse wave signal with the pressure sensor 33, and outputs the detected pulse wave signal to the arithmetic processing unit 10. Pulse wave measurement is performed in response to a request from the arithmetic processing unit 10. Note that for pulse wave measurement, only one of the two cuffs 21R and 21L may be used, or both may be used.

[0018] In the case of blood pressure measurement, the upper limb measurement and control unit 31 detects the vibration of the cuff pressure of the cuffs 21R and 21L with the pressure sensor 33 during decompression, and detects the cuff pressure with the most significant increase in amplitude as the systolic blood pressure, and detects the cuff pressure with the most significant decrease in vibration as the diastolic blood pressure. Then, the upper limb measurement and control unit 31 outputs blood pressure signals indicating the detected systolic blood pressure and diastolic blood pressure to the arithmetic processing unit 10 respectively. Blood pressure measurement is performed in response to a request from the arithmetic processing unit 10. Note that when there is a request from the arithmetic processing unit 10, usually, the right blood pressure measurement using only the cuff 21R and the left blood pressure measurement using only the cuff 21L are sequentially performed, but these blood pressure measurements may be performed in parallel.

[0019] The lower limb measurement control unit 32 includes a pressure sensor 34, a signal processing circuit that performs predetermined signal processing such as amplification on the detection signal from the pressure sensor 34, a pump and exhaust valve for supplying and exhausting air to the cuffs 22R and 22L, and a computer having a CPU, ROM, RAM, various interfaces, etc., that controls this supply and exhaust operation. The lower limb measurement control unit 32 pressurizes the cuffs 22R and 22L by introducing air into the rubber sacs of the cuffs 22R and 22L via the hose 22h, and depressurizes the cuffs 22R and 22L by expelling air from the rubber sacs. Cuff 22R is attached to the subject's right ankle, and cuff 22L is attached to the subject's left ankle. The target value of the cuff pressure after pressurization differs for pulse wave measurement and blood pressure measurement, and can be set individually for each. The operation of the lower limb measurement control unit 32 during pulse wave measurement and blood pressure measurement is the same as that of the upper limb measurement control unit 31, so a detailed explanation is omitted here.

[0020] The computers in the upper limb measurement control unit 101 and the lower limb measurement control unit 32 perform calculations for blood pressure and pulse wave measurement by executing control programs stored in ROM using the CPU.

[0021] In this embodiment, the blood pressure pulse wave measurement unit 30 is provided with an upper limb measurement control unit 31 and a lower limb measurement control unit 32, but the upper limb measurement control unit 31 and the lower limb measurement control unit 32 may be integrated into a single unit.

[0022] A heart sound microphone 23 is connected to the heart sound measurement unit 40. Limb electrocardiogram electrodes 24a and chest electrocardiogram electrodes 24b are connected to the electrocardiogram measurement unit 50. Amorphous pulse wave sensors 25a and 25b are connected to the pulse wave measurement unit 60.

[0023] The arithmetic processing unit 10 is a computer that includes a CPU, ROM, RAM, various interfaces, etc. The arithmetic processing unit 10 executes the control program stored in the ROM using the CPU.

[0024] The calculation processing unit 10 controls the blood pressure pulse wave measurement unit 30, the heart sound measurement unit 40, the electrocardiogram measurement unit 50, and the pulse wave measurement unit 60 (hereinafter referred to as "each biological information measurement unit").

[0025] Furthermore, the arithmetic processing unit 10 receives biological information supplied from each biological information measurement unit. When it is necessary to display the received biological information on the screen, it edits or converts it into display data and outputs it to the display unit 80. When it is necessary to print the information on report paper, it edits or converts it into print data and outputs it to the print unit 91. The arithmetic processing unit 10 also stores the received biological information in the storage unit 92 as appropriate, and reads the stored biological information.

[0026] Furthermore, the arithmetic processing unit 10 performs waveform analysis of the biological information received from each biological information measurement unit. In the waveform analysis, it detects characteristic parts (section points) in the waveform. Examples of characteristic parts include the start of the second heart sound, the rising part of the pulse wave in the upper arm, the rising part of the pulse wave in the ankle, the pulse wave notch, the pulse wave notch in the upper arm, and so on.

[0027] The calculation processing unit 10 calculates the degree of arteriosclerosis based on the analysis results and the numerical values ​​(e.g., blood pressure) indicated by the received biological information. The calculation processing unit 10 also measures HRV based on the electrocardiogram.

[0028] Furthermore, the arithmetic processing unit 10 receives input and instructions from the user via the input unit 70, and, according to the received content, sets the functions related to each of the biometric information measurement units, display unit 80, printing unit 91, storage unit 92, and audio output unit 93, and controls the start and stop of their respective operations.

[0029] The display unit 80 is a display device having a display screen such as an LCD (Liquid Crystal Display), and displays biological information, analysis results, and arteriosclerosis degree, etc., input as display data from the arithmetic processing unit 10 on the screen.

[0030] The printing unit 91 mainly consists of a paper feeding mechanism and a print head, and prints biological information, analysis results, and arteriosclerosis degree, which are input as print data from the calculation processing unit 10, onto the paper.

[0031] The memory unit 92 is composed of a hard disk drive, a writable optical disk drive, non-volatile memory, etc., and is capable of storing information from the arithmetic processing unit 10. In addition, the memory unit 92 records biological information measured by each biological information measurement unit, namely electrocardiograms, pulse waves, and heart sounds.

[0032] The audio output unit 93 mainly consists of a speaker and outputs guidance voice or notification sound according to guidance data or notification sound output instruction signals input from the arithmetic processing unit 10.

[0033] The input unit 70 consists of a keyboard, mouse, buttons, touch panel, etc., and receives input and instructions from the user and sends them to the arithmetic processing unit 10.

[0034] The pulse wave measurement unit 60 supplies the pulse wave signals of the subject detected by amorphous pulse wave sensors 25a and 25b, which are appropriately attached to the subject, to the calculation processing unit 10. This allows for the measurement and analysis of the pulse wave. One of the amorphous pulse wave sensors 25a and 25b is attached, for example, to the subject's carotid artery, and the other is attached, for example, to the subject's femoral artery or knee.

[0035] The electrocardiogram measurement unit 50 supplies the electrocardiogram signals detected by the limb electrocardiogram electrode units 24a and the chest electrocardiogram electrode unit 24b attached to the subject to the calculation processing unit 10. This allows for the measurement and analysis of the electrocardiogram. The limb electrocardiogram electrode unit 24a typically consists of four electrocardiogram electrodes attached to the right wrist, left wrist, right ankle, and left ankle, respectively. Regarding the electrocardiogram electrodes for both ankles, it is preferable that they are designed so that attachment to both ankles is not hindered by the right ankle cuff 22R and the left ankle cuff 22L. The chest electrocardiogram electrode unit 25b typically consists of six electrocardiogram electrodes attached to six locations on the chest, respectively.

[0036] The heart sound measurement unit 40 supplies the heart sound signal detected by the heart sound microphone 23 attached to the subject to the processing unit 10. This enables the measurement and analysis of heart sounds.

[0037] <2> Main component configuration of this embodiment Figure 2 is a block diagram showing the main components of the blood pressure pulse wave analyzer according to this embodiment. In this embodiment, the control unit 101, HRV measurement unit 102, frequency analysis unit 103, and 3D HRV graph creation unit 104 of the configuration shown in Figure 2 are provided in the arithmetic processing unit 10. As described above, the arithmetic processing unit 10 is a computer having a CPU, ROM, RAM, various interfaces, etc. The arithmetic processing unit 10 realizes the functions of the control unit 101, HRV measurement unit 102, frequency analysis unit 103, and 3D HRV graph creation unit 104 by executing programs stored in ROM using the CPU.

[0038] The control unit 101 controls the operation of the blood pressure pulse wave measurement unit 30, the electrocardiogram measurement unit 50, and the HRV measurement unit 102. For example, the control unit 101 controls the on and off operation of these parts. The control unit 101 also performs mode control of the blood pressure pulse wave measurement unit 30 and the HRV measurement unit 102.

[0039] The HRV measurement unit 102 receives the electrocardiogram obtained by the electrocardiogram measurement unit 50 and measures the subject's HRV. The HRV measurement unit 102 measures heart rate variability and heart rate fluctuations based on the RR interval of the electrocardiogram within a unit measurement period (e.g., 2 minutes or more) and outputs this as the HRV measurement result. Here, the above unit measurement period for measuring HRV can be set by the user. HRV measurement is performed by measuring one beat's RR interval as one sample. The unit measurement period consists of, for example, 256 to 1024 RR intervals, with 256 samples being about 4 minutes and 1024 samples being about 17 minutes.

[0040] In this embodiment, the HRV measurement unit 102 also includes a period selection unit 102a. The period selection unit 102a selects a plurality of unit measurement periods. The HRV measurement unit 102 then performs HRV measurement on the electrocardiogram data within the plurality of unit measurement periods selected by the period selection unit 102a and outputs the HRV measurement results for the plurality of measurement unit periods.

[0041] For example, if the period selection unit 102a selects 9:00 to 9:15 as the first unit measurement period, 10:00 to 10:15 as the second unit measurement period, and 11:00 to 11:15 as the third unit measurement time, the HRV measurement unit 102 will perform HRV measurement for each of the electrocardiogram data within these three unit measurement time periods.

[0042] The frequency analysis unit 103 obtains the power spectrum for each of the HRV measurements for multiple unit measurement periods (three unit measurement periods in this embodiment) measured by the HRV measurement unit 102. Specifically, the frequency analysis unit 103 obtains three power spectrum graphs by applying an FFT (Fast Fourier Transform) to each of the three HRV measurement values ​​output from the HRV measurement unit 102. The frequency analysis unit 103 may obtain the power spectrum using another frequency analysis method, such as MEM (Maximum Entropy Method), instead of FFT.

[0043] Figure 3 shows an example of the power spectrum for one unit measurement period obtained by the frequency analysis unit 103. In the example in Figure 3, the power spectrum is divided into low-frequency components, high-frequency components, and other components, but this division is not required.

[0044] Incidentally, the following can be understood from the HRV power spectrum.

[0045] Low-frequency components (e.g., 0.04Hz to 0.15Hz) appear whether the sympathetic or parasympathetic nervous system is activated. Furthermore, these low-frequency components reflect both sympathetic and parasympathetic nervous system function, and thus reflect blood pressure fluctuations.

[0046] High-frequency components (e.g., 0.15Hz to 0.4Hz) appear when the parasympathetic nervous system is tense (activated). Furthermore, these high-frequency components reflect parasympathetic nervous system function and thus reflect respiratory fluctuations.

[0047] The full-range component (0Hz to 0.5Hz) appears when the parasympathetic nervous system is tense (activated). Furthermore, the full-range component reflects parasympathetic nervous system function and thus reflects respiratory variability.

[0048] The ratio of low-frequency components to high-frequency components (the ratio of low-frequency components to high-frequency components) is used as an indicator of sympathetic nervous system function. In other words, this value is the ratio of the "low-frequency component," which contains components of both the sympathetic and parasympathetic nervous systems, to the "high-frequency component," which represents the parasympathetic nervous system. Therefore, it can be used as an indicator of stress, which represents the degree of sympathetic nervous system activity. The larger this value, the more dominant the sympathetic nervous system is and the more tense (stressed) the person is.

[0049] Thus, by examining the power spectrum for a single measurement period obtained by the frequency analysis unit 103, it is possible to understand the state of the subject's autonomic nervous system over a certain period.

[0050] The 3D HRV graph creation unit 104 creates a 3D HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra (in this embodiment, graphs of three power spectra) of HRV for multiple unit measurement periods obtained by the frequency analysis unit 103 in the time direction.

[0051] Figure 4 shows an example of a three-dimensional HRV graph obtained by the three-dimensional HRV graph generation unit 104. In Figure 4, position No. 1 is where the power spectrum corresponding to the electrocardiogram data within the first unit measurement time is placed, position No. 2 is where the power spectrum corresponding to the electrocardiogram data within the second unit measurement time is placed, and position No. 3 is where the power spectrum corresponding to the electrocardiogram data within the third unit measurement time is placed.

[0052] Note that in the example shown in Figure 4, the power spectrum is divided into low-frequency components, high-frequency components, and other components, but this division is not required.

[0053] The 3D HRV graph obtained by the 3D HRV graph creation unit 104, and the blood pressure pulse wave and arteriosclerosis measurement results obtained by the blood pressure pulse wave measurement unit 30, are displayed on the display unit 80 via the display control unit 81.

[0054] Medical professionals such as doctors can more easily understand the autonomic nervous system activity of subjects by looking at the 3D HRV graph displayed on the display unit 80. In other words, since HRV has different characteristics for each subject, it is difficult to accurately understand the autonomic nervous system activity of a subject from only one HRV. However, by looking at the 3D HRV graph, the temporal changes in autonomic nervous system activity for each subject can be seen at a glance, making it easier to understand the autonomic nervous system activity of each subject.

[0055] Furthermore, in this embodiment, the display control unit 81 is capable of changing the viewpoint of the 3D HRV graph and displaying it on the display unit 80. The viewpoint is changed, for example, when the amount of operation performed by the user on the touch panel (display unit 80) is input to the display control unit 81, and the display control unit 81 changes the viewpoint according to that operation amount. Alternatively, the viewpoint may be changed automatically, for example, by the display control unit 81 detecting characteristic parts of each power spectrum included in the 3D HRV graph and ensuring that these characteristic parts are not obscured by other power spectra.

[0056] When observing the state of the autonomic nervous system over the long term, the amplitude of the 3D HRV power spectrum graph may decrease sharply due to the onset of disease. Healthcare professionals want to confirm this point of change, but it may be hidden in the 3D HRV graph. In such cases, it becomes possible to observe the point of change by changing the viewpoint. On the other hand, when observing the state after treatment, the amplitude of the power spectrum graph may increase sharply immediately after treatment. Even in such cases, healthcare professionals can observe this point of change by using a different viewpoint than described above. In other words, in a 3D HRV graph, it is possible for points of change where the amplitude of the graph decreases and points of change where the amplitude of the graph increases to coexist, but even in such cases, in this embodiment, the viewpoint of the 3D HRV graph can be changed, making it easier for healthcare professionals to grasp the autonomic nervous system activity of the subject.

[0057] <3> summary As described above, according to this embodiment, a bio-information display device and bio-information display method can be realized that allows for a clearer understanding of the autonomic nervous system activity of a subject, by providing an HRV measurement unit 102 that measures the subject's HRV over multiple unit measurement periods, a frequency analysis unit 103 that obtains the power spectrum of each of the HRV measurement results for multiple unit measurement periods measured by the HRV measurement unit 102, a 3D HRV graph creation unit 104 that creates a 3D HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for multiple unit measurement periods obtained by the frequency analysis unit 103 in the time direction, a display unit 80 that displays the 3D HRV graph, and a display control unit 81 that can change the viewpoint of the 3D HRV graph.

[0058] Furthermore, by providing a period selection unit 102a that allows selection of multiple unit measurement periods, it becomes possible to select only the most relevant unit measurement periods to create a 3D HRV graph. As a result, it becomes possible to create a 3D HRV graph with higher clinical value.

[0059] The embodiments described above are merely examples of how the present invention can be implemented, and the technical scope of the present invention should not be limited by them. In other words, the present invention can be implemented in various ways without departing from its gist or its main features.

[0060] In the above-described embodiment, the HRV measurement unit 102 was described in the case where HRV is measured based on an electrocardiogram, but for example, HRV (heart rate variability) may be measured based on a pulse wave.

[0061] The above-described embodiment described the application of the present invention to a blood pressure pulse wave examination device 1, but the present invention is not limited to this and can be broadly applied, for example, as a biometric information display device that displays the subject's HRV.

[0062] For example, the HRV measurement unit 102 may take electrocardiogram data stored in a memory unit (not shown) as input and determine the HRV for multiple measurement periods. In this case, the electrocardiogram data stored in the memory unit may be obtained from, for example, a Holter electrocardiograph or a vital signs monitor.

[0063] In this case, by using the period selection unit 102a to select groups of HRV for the same time period on different dates, for example, a 3D HRV graph with higher clinical value can be created. Specifically, it becomes possible to perform processing such as setting the power spectrum of No. 1 in Figure 4 to be based on a unit measurement time from 9:00 to 9:15 on October 1st, the power spectrum of No. 2 to be based on a unit measurement time from 9:00 to 9:15 on November 1st, and the power spectrum of No. 3 to be based on a unit measurement time from 9:00 to 9:15 on December 1st.

[0064] Furthermore, by using the period selection unit 102a, for example, selecting a group where the subject is not sleeping, it is possible to create a 3D HRV graph with higher clinical value. Specifically, it becomes possible to process the power spectra of No. 1, No. 2, and No. 3 in Figure 4 to all be based on unit measurement times when the subject is not sleeping. Here, since the shape of the power spectrum differs significantly between sleep and non-sleep states, simply arranging them side by side may exaggerate the effect of sleep or non-sleep, potentially reducing the clinical value. By selecting a group with an appropriate unit measurement time using the period selection unit 102a, the reduction in clinical value can be suppressed.

[0065] Whether or not a person is asleep can be determined, for example, from the output of an acceleration sensor attached to the subject. Therefore, for example, by inputting the output of the acceleration sensor to the period selection unit 102a and selecting the group of HRVs for the time period in which the period selection unit 102a determines that the person is not asleep, a 3D HRV graph based on the HRVs of the group of people who are not asleep can be automatically obtained. [Industrial applicability]

[0066] The present invention is widely applicable to devices and methods for displaying HRV as biological information. [Explanation of symbols]

[0067] 1. Blood pressure and pulse wave analyzer 10. Arithmetic Processing Unit 30 Blood pressure and pulse wave measurement unit 50 Electrocardiogram Measurement Unit 101 Control Unit 102 HRV Measurement Unit 103 Frequency Analysis Unit 104 3D HRV Graph Creation Section

Claims

1. An HRV measurement unit that measures the subject's HRV (Heart Rate Variability) over multiple measurement periods, A frequency analysis unit obtains the power spectrum of each of the HRV measurement results for the plurality of unit measurement periods measured by the HRV measurement unit, A three-dimensional HRV graph creation unit creates a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the plurality of unit measurement periods obtained by the frequency analysis unit in the time direction. A display unit for displaying the three-dimensional HRV graph, A period selection unit for selecting the aforementioned multiple unit measurement periods, Equipped with, The aforementioned period selection unit selects groups of HRVs for the same time period on different dates. The display unit displays the power spectra of HRVs from different dates and the same time period included in the group, arranged in the time direction where their frequency axes are parallel and perpendicular to each other, and displays the three-dimensional HRV graph with the viewpoint automatically changed so that characteristic parts of the HRV power spectrum are not obscured by other power spectra. Biometric information display device.

2. An HRV measurement unit that measures the subject's HRV (Heart Rate Variability) over multiple measurement periods, A frequency analysis unit obtains the power spectrum of each of the HRV measurement results for the plurality of unit measurement periods measured by the HRV measurement unit, A three-dimensional HRV graph creation unit creates a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the plurality of unit measurement periods obtained by the frequency analysis unit in the time direction. A display unit for displaying the three-dimensional HRV graph, A period selection unit for selecting the aforementioned multiple unit measurement periods, Equipped with, The aforementioned period selection unit selects the group of HRV values ​​when the subject is not asleep. The display unit displays the HRV power spectra of the subjects included in the group when they are not asleep, arranged in the time direction in which their frequency axes are parallel and perpendicular to each other, and displays the three-dimensional HRV graph with the viewpoint automatically changed so that characteristic parts of the HRV power spectra are not obscured by other power spectra. Biometric information display device.

3. An HRV measurement unit that measures the subject's HRV (Heart Rate Variability) over multiple measurement periods, A frequency analysis unit obtains the power spectrum of each of the HRV measurement results for the plurality of unit measurement periods measured by the HRV measurement unit, A three-dimensional HRV graph creation unit creates a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the plurality of unit measurement periods obtained by the frequency analysis unit in the time direction. A display unit for displaying the three-dimensional HRV graph, A period selection unit for selecting the aforementioned multiple unit measurement periods, Equipped with, The display unit displays the three-dimensional HRV graph with the viewpoint automatically changed so that the characteristic parts of the HRV power spectrum are not obscured by other power spectra. The aforementioned unit measurement period is a measurement period of 2 minutes or more. The display unit does not display the 3D HRV graph for measurement periods not selected by the period selection unit. Biometric information display device.

4. The system further includes a display control unit capable of changing the viewpoint of the three-dimensional HRV graph, The display control unit changes the viewpoint according to the amount of user input. A biometric information display device according to any one of claims 1 to 3.

5. The steps include measuring the subject's HRV over multiple measurement periods, The steps include determining the power spectrum of each of the HRVs measured for the multiple unit measurement periods, The steps include creating a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the multiple unit measurement periods obtained in the time direction, A display step to display the created three-dimensional HRV graph, A selection step of selecting the aforementioned multiple unit measurement periods, Includes, In the selection step described above, groups of HRVs for the same time period on different dates are selected. In the display step, the power spectra of HRVs from different dates and the same time period included in the group are displayed side by side in the time direction, with their frequency axes parallel to and perpendicular to the frequency axes, and the three-dimensional HRV graph is displayed with the viewpoint automatically changed so that characteristic parts of the HRV power spectrum are not hidden by other power spectra. Method for displaying biometric information.

6. The steps include measuring the subject's HRV over multiple measurement periods, The steps include determining the power spectrum of each of the HRVs measured for the multiple unit measurement periods, The steps include creating a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the multiple unit measurement periods obtained in the time direction, A display step to display the created three-dimensional HRV graph, A selection step of selecting the aforementioned multiple unit measurement periods, Includes, In the selection step, select the group of HRV when the subject is not asleep. In the display step, the power spectra of HRV for subjects included in the group when they are not asleep are displayed side by side in the time direction, with their frequency axes parallel to and perpendicular to the frequency axes, and the three-dimensional HRV graph is displayed with the viewpoint automatically changed so that characteristic parts of the HRV power spectra are not obscured by other power spectra. Method for displaying biometric information.

7. The steps include measuring the subject's HRV over multiple measurement periods, The steps include determining the power spectrum of each of the HRVs measured for the multiple unit measurement periods, The steps include creating a three-dimensional HRV graph consisting of frequency components, power components, and time components by sequentially arranging the power spectra of the HRV for the multiple unit measurement periods obtained in the time direction, A display step to display the created three-dimensional HRV graph, A selection step of selecting the aforementioned multiple unit measurement periods, Includes, In the display step, the three-dimensional HRV graph is displayed with the viewpoint automatically changed so that the characteristic parts of the HRV power spectrum are not obscured by other power spectra. The unit measurement period selected in the selection step is a measurement period of 2 minutes or more. In the display step, the 3D HRV graph is not displayed for measurement periods that were not selected in the selection step. Method for displaying biometric information.

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