Monitoring device, monitoring system, monitoring method, and program

Abstract

To provide a monitoring device, a monitoring system, a monitoring method, and a program for enabling the display which makes it easy to monitor an activity state of an autonomic nerve of a subject.SOLUTION: A portable terminal 1 (monitoring device) is used for monitoring an activity state of an autonomic nerve of a subject P. The portable terminal 1 includes: an input part for receiving input of measurement data from a measuring device 2 for measuring pulsations of the subject P; a calculation part for calculating a power spectrum from the measurement data received by the input part through frequency spectrum conversion, calculating an index including LF and HF on the basis of the power spectrum, and obtaining a calculation result related to the display of the index displayed by a display device; and an output part for outputting the calculation result obtained by the calculation part to the display device. As the calculation result, the calculation part obtains a calculation result in which a display mode of the index displayed by the display device is changed by the attribute of the index.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a monitoring device, a monitoring system, a monitoring method, and a program used for monitoring the activity state of autonomic nerves. [Background technology]

[0002] Attempts are being made to grasp the mental state and utilize it in training for sportsmen, athletes, martial artists, etc., various work training, self-development, etc. For example, Japanese Patent No. 6825716 (Patent Document 1) discloses a bioinformation presentation system that includes a step of frequency spectrum conversion of the subject's beat interval, calculates LF and HF by definite integration of the obtained power spectrum, and plots the beat interval and at least one of LF and HF, which are indicators of parasympathetic nervous system activity, on the respective coordinate axes of a Cartesian coordinate system, and displays the bioinformation two-dimensionally to display the psychological and physiological state of the subject. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6825716 Summary of the Invention [Problem to be solved by the invention]

[0004] Patent Document 1 shows an example of a case where electrocardiogram information measured at a certain timing is plotted with RRI on the horizontal axis and a parasympathetic nerve activity index or a sympathetic nerve activity index on the vertical axis. However, for example, in training for sportsmen, athletes, martial artists, etc., various work training, self-development, etc., a display that makes it easier to monitor the activity state of the autonomic nerves of the subject is desired.

[0005] The present disclosure has been made to solve such problems, and its purpose is to provide a monitoring device, a monitoring system, a monitoring method, and a program that enable a display that makes it easier to monitor the activity state of a subject's autonomic nerves. [Means for solving the problem]

[0006] A monitoring device according to an aspect of the present disclosure is a monitoring device used for monitoring the activity state of the autonomic nerves of a subject. The monitoring device includes an input unit that receives measurement data from a measurement device that measures the pulse of the subject, a calculation unit that calculates a power spectrum from the measurement data received by the input unit through frequency spectrum conversion, calculates an index including LF and HF based on the power spectrum, and obtains a calculation result related to the display of the index to be displayed by a display device, and an output unit that outputs the calculation result obtained by the calculation unit to the display device. The calculation unit obtains a calculation result in which the display mode of the index displayed on the display device is changed according to the attribute of the index as the calculation result.

[0007] A monitoring system according to an aspect of the present disclosure includes the above-described monitoring device, a measurement device that measures the heartbeat of a subject, and a display device that displays a calculation result.

[0008] A monitoring method according to an aspect of the present disclosure is a monitoring method used for monitoring the activity state of the autonomic nerves of a subject, which is executed by a monitoring device including an input unit that accepts input of measurement data from a measurement device that measures the pulse of a subject, a calculation unit that calculates a calculation result related to the display of indices including LF and HF to be displayed by a display device from the measurement data accepted by the input unit, and an output unit that outputs the calculation result calculated by the calculation unit to the display device. The monitoring method includes a step of accepting input of measurement data by the input unit, a step of calculating a power spectrum from the measurement data through frequency spectrum conversion, a step of calculating an index including LF and HF based on the power spectrum, a step of calculating a calculation result in which the display mode of the index displayed on the display device is changed according to the attribute of the index as the calculation result, and a step of outputting the calculation result from the output unit to the display device.

[0009] A program according to an aspect of the present disclosure is a program executed by a calculation unit of a monitoring device including an input unit that accepts input of measurement data from a measurement device that measures the heartbeat of a subject, a calculation unit that calculates a calculation result related to the display of indices including LF and HF to be displayed by a display device from the measurement data accepted by the input unit, and an output unit that outputs the calculation result calculated by the calculation unit to the display device. The program includes the steps of: calculating a power spectrum from the measurement data accepted by the input unit through frequency spectrum conversion; calculating indices including LF and HF based on the power spectrum; and calculating a calculation result in which the display mode of the indices displayed on the display device is changed according to the attributes of the indices as the calculation result, and causing the output unit to output the calculation result to the display device. Effect of the Invention

[0010] According to the present disclosure, a calculation result is obtained that is displayed by a display device, and the display mode of an indicator displayed on the display device is changed depending on the attributes of the indicator, making it possible to easily monitor the activity state of the subject's autonomic nerves. [Brief description of the drawings]

[0011] [Figure 1] 1 is a schematic diagram showing a configuration of a monitoring system including a monitoring device according to a first embodiment. [Diagram 2] 1 is a block diagram showing a configuration of a monitoring device according to a first embodiment. [Diagram 3] 1 is a block diagram showing a configuration of a measurement device according to a first embodiment. [Figure 4] 4 is a flowchart for explaining the process of a monitoring method executed by the monitoring device according to the first embodiment. [Diagram 5] 3 is an example of a typical electrocardiogram waveform as biological data measured by the measurement device according to the first embodiment. [Figure 6] 4 shows an example of a graph display included in the calculation results obtained by the monitoring device according to the first embodiment. [Figure 7] 13 shows an example of a display of a graph included in the calculation results obtained by the monitoring device according to the first modification. [Figure 8] 13 shows an example of a graph display included in the calculation results obtained by the monitoring device according to the second modification. [Figure 9] 13 shows an example of a graph display included in the calculation results obtained by the monitoring device according to the second embodiment. [Figure 10] 13 shows an example of a graph display included in the calculation results obtained by the monitoring device according to the third embodiment. [Figure 11] 13 shows an example of a graph display included in the calculation results obtained by the monitoring device according to the fourth embodiment. [Figure 12] FIG. 13 is a schematic diagram showing a configuration of a monitoring system including a monitoring device according to a fifth embodiment. [Figure 13] 13 shows an example of a map display included in the calculation results obtained by the monitoring device according to the fifth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] In this disclosure, examples of a monitoring device, a monitoring system, a monitoring method, and a program used to monitor the activity state of the autonomic nerves of a subject based on biodata (measurement data) indicating heartbeats measured by a measuring device provided on the subject will be described. In the following examples, a measuring device that measures heartbeats from skin contact electrodes attached to clothing worn by the subject is attached to the chest to monitor the activity state of the autonomic nerves of the subject, but the position where the measuring device is attached to the subject is not limited to the chest, and may be the wrist, fingers, etc.

[0013] When a measuring device is attached to the subject's wrist, finger, etc., the measuring device measures biodata indicating a pulse based on pulse wave information related to a change in blood flow, instead of biodata indicating a pulse based on electrocardiogram information. In the present disclosure, the biodata indicating a pulse may be based on electrocardiogram information or pulse wave information related to a change in blood flow. In addition, there is no limitation on the type or number of measuring devices, as long as the subject's pulse can be measured continuously on a daily basis. The measuring device may be, for example, a wearable device such as a smart watch that can obtain pulse wave information.

[0014] A monitoring device, a monitoring system, a monitoring method, and a program according to the embodiments will be described below with reference to the drawings. In the following description, the same components are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.

[0015] (Embodiment 1) [Surveillance system configuration] FIG. 1 is a schematic diagram showing a configuration of a monitoring system 100 including a monitoring device according to the first embodiment. The monitoring system 100 includes, for example, a mobile terminal 1 and a measuring device 2. The measuring device 2 is attached to a subject P. The mobile terminal 1 (for example, a smartphone, a tablet terminal, etc.) functions as a monitoring device by executing a program for monitoring the activity state of the autonomic nerves, and enables real-time monitoring of the activity state of the autonomic nerves of the subject P based on biological data indicating the pulse measured by the measuring device 2. Such monitoring is realized by displaying the calculation results in the mobile terminal 1 on a display device (for example, the display device of the mobile terminal 1). The display device may be a device physically separate from the mobile terminal 1. Although the case where the mobile terminal 1 functions as the monitoring device will be mainly described, the present embodiment is not limited to this. The above-mentioned monitoring may be realized by another device functioning as the monitoring device and displaying the calculation results in the device on the display device. Furthermore, data transmission and reception between the devices may be performed via the other device. 1 is merely an example, and may be a system in which measurements are taken with the measuring device 2 for a certain period of time, stored, and biological data indicating the pulse measured by the measuring device 2 is read by a computer or the like to monitor the activity state of the autonomic nerves of the subject P. In this specification, biological data may also be referred to as measurement data.

[0016] In the following embodiment, the monitoring system 100 is described as being composed of two devices, a mobile terminal 1 and a measuring device 2, but is not limited to this configuration. For example, if the measuring device 2 is a smartwatch, the smartwatch can function as the mobile terminal 1 by executing a program for monitoring the autonomic nerve activity state of the subject P in a processor, so that the monitoring system 100 can be composed of a single device. Furthermore, the monitoring system 100 may also include components such as a computer and a server that are communicatively connected to the mobile terminal 1.

[0017] [Monitoring device configuration] Fig. 2 is a block diagram showing the configuration of a monitoring device (mobile terminal 1) according to embodiment 1. As shown in Fig. 2, the mobile terminal 1 includes a processor 11, a memory 12, a storage 13, an input interface (input I / F) 14, an output interface (output I / F) 15, a communication interface (communication I / F) 16, and a media reader 17. These components are connected via a processor bus 18.

[0018] The processor 11 (an example of a calculation unit) is a computer that reads out programs (for example, an OS (Operating System) 131, an LF and HF calculation program 132, a graph creation program 133, etc.) stored in the storage 13, and deploys and executes the read out programs in the memory 12. The processor 11 is configured, for example, by a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), a GPU (Graphics Processing Unit), or an MPU (Multi Processing Unit). The processor 11 may be configured by a processing circuitry.

[0019] The memory 12 is composed of a volatile memory such as a dynamic random access memory (DRAM) or a static random access memory (SRAM), or a non-volatile memory such as a read only memory (ROM) or a flash memory.

[0020] The storage 13 is configured with a non-volatile storage device such as a hard disk drive (HDD) or a solid state drive (SSD). The storage 13 stores an OS 131, an LF and HF calculation program 132, a graph creation program 133, and other programs such as a map creation program 134, as well as data such as biological data 135.

[0021] The LF and HF calculation program 132 is a program that performs calculations for monitoring the activity state of the autonomic nerves of the subject P. The LF and HF calculation program 132 includes processes such as determining the pulsation interval of the subject P from biological data indicating the pulsation measured by the measurement device 2, and calculating LF and HF by definite integration of the power spectrum obtained by frequency spectrum conversion of the pulsation interval.

[0022] The graph creation program 133 is a program for obtaining a calculation result related to the display of an index including LF and HF, which is displayed by a display device based on the calculation in the LF and HF calculation program 132, in order to monitor the activity state of the autonomic nerves of the subject P. The LF value, the HF value, and a value based on a combination of LF and HF can be used as an index indicating the activity state of the autonomic nerves. For example, the graph creation program 133 obtains a calculation result including a graph in which the first axis is the logarithm of HF and the second axis is LF / HF. The map creation program 134 is a program for obtaining a calculation result including a map showing the position of the subject P in order to monitor the activity state of the autonomic nerves of the subject P.

[0023] The input interface 14 (an example of an input unit) accepts input operations from a keyboard, a mouse, a touch device, and the like. The mobile terminal 1 is equipped with a physical switch, a touch device, and a camera as input devices, and the input interface 14 accepts input operations from these input devices. The output interface 15 (an example of an output unit) outputs the calculation results obtained by the processor 11 to a display, a speaker, and the like. The mobile terminal 1 is equipped with a display, a speaker, and the like as output devices, and causes the output interface 15 to output the calculation results obtained by the processor 11 to these output devices.

[0024] The communication interface 16 (an example of an input section or an output section) transmits and receives data to and from the measurement device 2, such as accepting input of biological data indicating a heartbeat from the measurement device 2, by performing wired or wireless communication. The communication interface 16 may output a calculation result to another device such as a server by communicating with the other device.

[0025] The media reading device 17 accepts storage media such as a removable disk, a memory chip, a USB memory, etc., and obtains data stored in the removable disk, the memory chip, the USB memory, etc. The media reading device 17 may read out a program or the like stored in a removable disk, or may store and output the calculated results in a removable disk, etc.

[0026] The medium for storing the program executed by the processor 11 of the mobile terminal 1 (monitoring device) is not limited to removable disks such as CD-ROMs and DVDs (Digital Versatile Discs), but may also be semiconductor memories such as IC cards, optical cards, mask ROMs, EPROMs (Erasable Programmable ROMs), and EEPROMs (Electrically EPROMs).

[0027] [Measurement device configuration] Fig. 3 is a block diagram showing the configuration of the measurement device 2 according to the first embodiment. The measurement device 2 is, for example, a clothing-type biological information measurement device such as sensing wear or a wearable smart device. As shown in Fig. 3, the measurement device 2 includes a control unit 21, a sensor 22, a GPS 23, an input / output interface (input / output I / F) 24, and a storage unit 25. These components are connected via a processor bus 26.

[0028] The control unit 21 is a computer that reads out a program stored in the storage unit 25 or a program stored in a storage area in the control unit 21, and executes the read program. The control unit 21 is configured with, for example, a CPU, a GPU, or an MPU, or an application-specific arithmetic circuit such as an ASIC (Application Specific Integrated Circuit), or an arithmetic circuit capable of changing an internal logic circuit such as an FPGA or a PLD (Programmable Logic Device).

[0029] The sensor 22 is electrically connected to a plurality of skin-contact electrodes 22a, and obtains electrocardiogram information of the subject P by measuring the voltage of the plurality of skin-contact electrodes 22a. As the skin-contact electrodes, for example, electrodes using conductive fabric can be used. Examples of conductive fabric include woven fabric, nonwoven fabric, knitted fabric, embroidery thread, sewing thread, etc., made of fibers containing at least conductive thread.

[0030] The GPS 23 acquires the position information of the subject P using a Global Positioning System satellite. The sensor 22 may acquire the position information of the subject P using Wi-Fi (registered trademark), a beacon, or a base station instead of the GPS. In the monitoring device and monitoring system 100 used to monitor the activity state of the autonomic nerves of the subject P, if the position information of the subject P is not required, the measurement device 2 does not need to include the GPS 23. If the subject P carries a mobile terminal 1, the position information of the subject P may be acquired by the GPS provided in the mobile terminal 1.

[0031] The input / output interface 24 performs wired or wireless communication to output biological data indicating the heartbeat acquired by the sensor 22 to the mobile terminal 1. The input / output interface 24 accepts input of information such as setting information for the measurement device 2 from the mobile terminal 1.

[0032] The storage unit 25 is composed of a non-volatile memory such as a ROM or a flash memory. It stores programs for executing a process of acquiring biometric data indicating a pulse by the sensor 22, and a process of outputting the biometric data indicating a pulse acquired by the sensor 22 to the mobile terminal 1. Furthermore, the storage unit 25 stores biometric data that has not yet been transmitted to the mobile terminal 1. The storage unit 25 also stores the identification number of the measurement device 2. Therefore, by linking the identification number of the measurement device 2 with the information of the subject P in advance, the mobile terminal 1 can identify that the acquired biometric data is the biometric data of the subject P by receiving the biometric data to which the identification number of the measurement device 2 is assigned.

[0033] 3, the measuring device 2 also has components used to function as a device, such as a power supply (not shown). Although a case where a single measuring device 2 is provided for one subject P will be mainly described, multiple measuring devices 2 may be provided for one subject P. When multiple measuring devices 2 are provided for one subject P, the identification numbers of the multiple measuring devices 2 are linked in advance to information on one subject P.

[0034] [Monitoring method] Next, the process for monitoring the autonomic nerve activity state of the subject P executed by the monitoring device will be described with reference to the drawings. FIG. 4 is a flow chart for explaining the process (program) of the monitoring method executed by the monitoring device according to the first embodiment. When the monitoring device (particularly the mobile terminal 1) is used to monitor the autonomic nerve activity state of the subject P, for example, the mobile terminal 1 displays the calculation results including a graph on a display so that the autonomic nerve activity state of the subject P can be easily monitored. The steps shown in FIG. 4 are realized by the processor 11 of the mobile terminal 1 executing the LF and HF calculation program 132, the graph creation program 133, etc.

[0035] The processor 11 of the mobile terminal 1 judges whether or not input of biometric data indicating the heartbeat of the subject P measured in a first period (hereinafter, may also be referred to as measurement data for the first period) has been accepted from the measurement device 2 (S101). Acceptance of input of biometric data for the first period includes cases where biometric data measured over the entire first period is accepted, or cases where input of biometric data is accepted in multiple batches in real time, for example. If input of biometric data for the first period has not been accepted from the measurement device 2 (NO in S101), the processor 11 returns the process to S101 and continues accepting input of biometric data.

[0036] On the other hand, when the input of the biometric data for the first period is accepted from the measurement device 2 (YES in S101), the processor 11 calculates an index including LF and HF for each of a plurality of biometric data items for each of a plurality of periods within the first period based on the biometric data for the first period (S102). The index including LF and HF may include a value based on a combination of LF and HF, such as a value of LF / HF, in addition to the respective values ​​of LF and HF. The processor 11 may execute the process of S102 in parallel with a part of the process of S101.

[0037] Here, a method for calculating LF and HF will be briefly described. First, FIG. 5 shows an example of a typical electrocardiogram waveform as biological data measured by the measurement device 2 according to the first embodiment. The RRI, which is an example of a beat interval, is shown, which is the interval between an R wave and the next R wave. LF is calculated by, for example, converting a power spectrum obtained from a plurality of beat intervals through a frequency spectrum conversion into a frequency L. f1 From L f2 HF can be calculated by integrating the power spectrum up to frequency H f1 From H f2 It can be calculated by integrating it up to L f1 , L f2 , H f1 , and H f2 is H f1 >L f1 and H f2 >L f2The relationship is as follows:

[0038] The biometric data, which is electrocardiogram information used to calculate LF and HF, is stored in the storage 13. In order to perform frequency spectrum conversion on the biometric data indicating pulsation, it is preferable to use data for a period of 60 seconds or more, but the processor 11 performs frequency spectrum conversion in pseudo real time. That is, the processor 11 performs frequency spectrum conversion in pseudo real time by going back a predetermined time interval A in the past, extracting data of an arbitrary time width B from the data stored in the storage 13, and sequentially performing frequency spectrum conversion. Here, when the term "predetermined" is used in this specification, it does not mean that it is determined at the stage of design or the like and is not changed, but is intended to include the case where it can be changed as appropriate.

[0039] The predetermined time interval A is preferably 5 to 60 seconds, more preferably 10 to 20 seconds. The arbitrary time width B is preferably 1 to 10 minutes, more preferably 1 to 5 minutes, and even more preferably 1 to 3 minutes. This allows the processor 11 to perform frequency spectrum conversion in pseudo real time with a delay of about 10 seconds to 5 minutes.

[0040] Next, the processor 11 calculates a regression line based on the plotted points, for example, when the values ​​of indices including HF and LF / HF are plotted as points on a graph for each of a plurality of biometric data items for each of a plurality of periods within the first period (S103).

[0041] Next, the processor 11 calculates statistics that indicate the variation of the values ​​of the indices including HF and LF / HF based on the regression line (S104).

[0042] Next, the processor 11 generates data relating to an allowable region based on the regression line and the statistics (S105).

[0043] That is, the processor 11 calculates a regression line by the least squares method from a plurality of plotted points in a graph in which the logarithm of HF calculated based on the beat interval of the subject P in the first period and the value of LF / HF are plotted as points. In the graph, for example, the first axis is the logarithm of HF, and the second axis is LF / HF. As the logarithm of HF, for example, the common logarithm of HF is used, but other logarithms (natural logarithms, etc.) with a base other than 10 may be used instead of the common logarithm. Furthermore, the processor 11 calculates statistics representing the variation related to the difference between the logarithm of HF between the plotted points and the regression line, and calculates an acceptable range from the regression line and the statistics representing the variation. In this way, the mobile terminal 1 can set an acceptable range based on population data in the graph to be displayed on the display device. The plotting of points on the graph does not have to show HF on a logarithmic scale as long as the first axis shows the magnitude relationship of HF. An acceptable range based on population data may be set by calculating a regression line on the graph and calculating a statistic representing the variation in HF between the plotted points and the regression line.

[0044] Examples of statistics that represent the variation include the mean deviation, variance, standard deviation, coefficient of variation, range (the difference between the maximum and minimum values ​​in the Xbar-R control chart), interquartile range, mean absolute deviation, and discrete entropy. It is preferable to use the standard deviation σ as a statistic that represents the variation. By using the standard deviation σ, the reliability of the allowable region is improved.

[0045] The above-mentioned acceptable region is a region between the first line and the second line in the above-mentioned graph, and the first line is a line obtained by translating the regression line in the positive direction of the first axis by 3σ, which is three times the standard deviation σ, and the second line is a line obtained by translating the regression line in the negative direction of the first axis by 3σ. By setting the acceptable region to 99.7% in this way, the reliability of the acceptable region based on the population data is improved. A 95.4% acceptable region or the like may be set using 2σ, which is twice the standard deviation σ. In the above, an example is described in which the statistics representing the variation, the first line, the second line, and the acceptable region are calculated based on the direction of the first axis, but the present embodiment is not limited to this. For example, the statistics representing the variation, the first line, the second line, and the acceptable region may be calculated based on the direction of the second axis or a direction perpendicular to the regression line.

[0046] Next, the processor 11 accepts biological data indicating the heartbeat of the subject P measured during the second period (hereinafter, may also be referred to as biological data for the second period) from the measurement device 2 via the input interface 14 (S106). Acceptance of biological data for the second period includes cases in which biological data measured over the entire second period is accepted, or cases in which biological data is accepted in multiple batches in real time, for example.

[0047] Next, the processor 11 calculates an index including an LF and an HF for each of a plurality of biometric data items for each of a plurality of periods within the second period, based on the biometric data for the second period (S107).

[0048] Next, the processor 11 obtains a calculation result in which the display mode of the above-mentioned indicators displayed on the display device is changed according to the attribute of the indicators as a calculation result related to the display of the above-mentioned indicators displayed on the display device. Specifically, the processor 11 obtains a calculation result in which, when the values ​​of the indicators including HF and LF / HF based on the biological data of the second period are plotted as points on a graph, the display mode of the points and / or the lines connecting the points is changed according to the time when the measuring device 2 acquired the biological data related to each point (S108). This is an example in which the attribute of the indicator includes the time when the measuring device 2 acquired the biological data related to each point. The calculation result obtained by the processor 11 includes a graph in which the values ​​of the indicators are plotted with the logarithm of HF on the Y-axis (first axis) and LF / HF on the X-axis (second axis).

[0049] Next, the processor 11 outputs the calculation result obtained in S108 to a display device (for example, the display device of the mobile terminal 1) (S109). Specifically, a graph in which the Y axis is the logarithm of HF and the X axis is LF / HF and the index value is plotted, is displayed on the display device of the mobile terminal 1. FIG. 6 shows an example of a graph display included in the calculation result obtained by the monitoring device (mobile terminal 1) according to the first embodiment. FIG. 6 is an example of a graph display in which the Y axis is the common logarithm of HF and the X axis is LF / HF. The other graphs described below are displayed in a similar manner. Hereinafter, the description may be given with a focus on the display in the graph, but at the same time, it is intended to explain that the calculation result including such a graph is obtained by the mobile terminal 1.

[0050] The graph shown in FIG. 6 shows the movement of the autonomic nerve activity index during the presentation of the subject P. Furthermore, in the graph shown in FIG. 6, as described above, the display mode of the line connecting the plotted points is changed depending on the time when the measurement device 2 acquires the biological data related to each point. Specifically, the display mode is changed so that the plot of the index value based on the measurement data measured during the time when the subject P was making a presentation, the plot of the index value based on the measurement data measured during the time before the presentation, and the plot of the index value based on the measurement data measured during the time after the presentation can be distinguished. More specifically, the line based on the index corresponding to the time when the subject P was making a presentation is shown as a thick line, the line based on the index corresponding to the time before the presentation is shown as a thin dashed line, and the line based on the index corresponding to the time after the presentation is shown as a thick dashed line. Since the graph shown in FIG. 6 is displayed in black and white, an example of changing the type of line as the display mode is shown, but this is not limited to this, and other modes such as color and shape may be changed as the display mode. In the examples shown below, the change in the display mode may be explained by taking one type of change as an example, but similarly, the change in the display mode may be realized by changing another type of change.

[0051] In FIG. 6, points that are not connected by lines are displayed. These points are points obtained by calculating indices including LF and HF from biological data measured during the first period (subject P's daily life) and plotting the values. Based on these points, the processor 11 calculates the regression line RL, the first line L1, and the second line L2 shown in FIG. 6. The area between the first line L1 and the second line L2 is the 99.7% acceptable area.

[0052] The points connected by lines in Figure 6 represent the plots of indices including LF and HF calculated from biometric data measured during the second period from the time that subject P entered the presentation venue to the time that he left the venue on the day that he gave a presentation at the company presentation.

[0053] When the autonomic nerves of the subject P are functioning normally, as shown in the graph in FIG. 6, while the measurement data corresponding to the plots in the area where LF / HF is small and HF is large (corresponding to the upper left area of ​​the graph in FIG. 6) is acquired, the subject P can be interpreted as being in a relaxed state. Conversely, while the measurement data corresponding to the plots in the area where LF / HF is large and HF is small (corresponding to the lower right area of ​​the graph in FIG. 6) is acquired in the graph in FIG. 6, the subject P can be interpreted as being in a state of tension or stress. On the other hand, while the measurement data corresponding to the plots in the lower left area or upper right area of ​​the graph in FIG. 6 is acquired, the subject P can be interpreted as being in a state where the autonomic nerves are not functioning normally, that is, in a state of autonomic nerve imbalance.

[0054] Therefore, the mobile terminal 1 (monitoring device) makes it possible to monitor the autonomic nerve activity state of the subject P on the day he or she gave a presentation at an in-house presentation by obtaining a calculation result such as the graph shown in Fig. 6. For example, it can be seen from the graph shown in Fig. 6 that the autonomic nerve activity during the presentation clearly deviates from the allowable range.

[0055] Returning to Fig. 4, the processor 11 accepts an input as to whether or not to end the monitoring of the activity state of the autonomic nerves of the subject P (S110). If the input to end the monitoring has not been accepted (NO in S110), the processor 11 returns the process to S106, accepts new biological data indicating the heartbeat of the subject P via the input interface 14, plots new points on the graph shown in Fig. 6, and continues monitoring. This causes calculation results to be obtained sequentially, and the calculation results are sequentially output to the display device.

[0056] On the other hand, if an input to end the monitoring has been received (YES in S110), the processor 11 ends the process.

[0057] In the flow chart shown in FIG. 4, in order to obtain the regression line RL, the first line L1, and the second line L2 and to calculate the 99.7% acceptable range, the biological data of the subject P measured, for example, in daily life is used as the biological data of the first period. Here, as represented by the process of S110, it is not necessary to measure the biological data of the first period every time the biological data of the subject P is measured in the second period, which is the monitoring period. The biological data of the first period may be measured once before starting monitoring of the activity state of the autonomic nerves of the subject P, and the acceptable range calculated based on the data may be used in the process based on the data of the second period from the second time onwards. If it is not necessary to display the regression line RL and the 99.7% acceptable range on a graph and further not to use them in the process based on the biological data of the second period, it is not necessary to measure the biological data of the first period. Furthermore, if the regression line RL and the 99.7% acceptable range can be commonly applied based on the attributes of subject P (gender, age, physique, etc.), the mobile terminal 1 may simply accept the input of the attributes of subject P and display the regression line RL and the 99.7% acceptable range based on the attributes on the graph without accepting any biometric data for the first period.

[0058] (Variation 1) In the graph shown in FIG. 6, the time when the measurement device 2 acquired the biological data is used as an example of the attribute of the index, and an example of the case where the display mode of each plotted point and / or the line connecting the points is changed in the graph is shown. However, as another example of the attribute of the index, the order in which the plotted points and / or the line connecting the points are displayed in the graph may be used, and the calculation result may be obtained so that the display mode of each plotted point and / or the line connecting the points is changed in accordance with the order in which they are displayed in the graph. In particular, when the activity state of the autonomic nerves of the subject P is monitored in real time for a long period of time, if the points and / or lines plotted in the past continue to be displayed cumulatively, it becomes difficult to easily grasp the current activity state of the autonomic nerves of the subject P.

[0059] Therefore, when the mobile terminal 1 (monitoring device) sequentially obtains the calculation results in real time, for example, the calculation results are sequentially obtained by changing the display mode of each point and / or line so that the color of each point and / or line that was displayed on the graph earlier approaches the background color of the graph. When focusing on a certain point and / or line, it is preferable that the color of the point and / or line is changed so as to approach the background color of the graph as the calculation result becomes newer as the time passes since it was displayed on the graph. In this way, each point and / or line plotted in the past approaches the background color of the graph and becomes difficult to see, and the current activity state of the autonomic nerves of the subject P can be easily understood based on the points and / or lines displayed in a color with a large color difference from the background color of the graph. Here, an example has been described in which the color of the points and / or lines that were displayed on the graph earlier approaches the background color of the graph, but the present embodiment is not limited to this. For example, if the current activity state of the autonomic nerves of the subject P can be easily understood, the calculation results may be obtained such that the color of each point and / or line that was displayed on the graph earlier approaches a different color.

[0060] FIG. 7 shows an example of a graph display included in the calculation result obtained by the monitoring device according to the first modification. The graph shown in FIG. 7 is used, for example, for real-time monitoring of the activity state of the autonomic nerves of the subject P. In the graph, a trajectory C1 is displayed on which the values ​​of the indexes obtained in real time are plotted with the Y axis being the logarithm of HF and the X axis being LF / HF. In the graph shown in FIG. 7, when new biological data is measured based on the calculation results obtained sequentially, a new point is plotted, and a line connecting the point and the most recently displayed point is added to update the trajectory C1. In such a trajectory C1, the display mode of each plotted point and / or the line connecting the points is changed in the order from the newest display to the oldest display on the graph, for example, from a color with a color difference of a predetermined value or more (for example, 30 or more) with respect to the background color of the graph to a color close to the background color, so that the current activity state of the autonomic nerves of the subject P can be easily grasped.

[0061] For example, when the portable terminal 1 changes the display mode of the trajectory C1 so that the activity state of the autonomic nerves of the subject P for the last hour or so is easily visible, the portable terminal 1 displays the trajectory of the last 15 minutes of the trajectory C1 in a color with a color difference of 30 from the background color of the graph. Furthermore, the portable terminal 1 displays the trajectory of the last 15 minutes to 30 minutes of the trajectory C1 in a color with a color difference of 20 from the background color of the graph, the trajectory of the last 30 minutes to 45 minutes in a color with a color difference of 10 from the background color of the graph, and the trajectory of the last 45 minutes to 60 minutes in a color with a color difference of 5 from the background color of the graph. Specifically, when the background color of the graph is displayed in light green, the portable terminal 1 displays the trajectory of the last 15 minutes or so of the trajectory C1 in red, and displays the part of the trajectory C1 that has been in the last hour in a color closer to light green. In the graph shown in Fig. 7, since the graph is displayed in black and white, the more recently displayed parts of the trajectory C1 are displayed with a thicker line width, and the more recently displayed parts are displayed with a thinner line width and even with a broken line. As a result, the more recently displayed parts are closer to the background color of the graph and are difficult to see. In such a case, when focusing on a certain point and / or line, it is preferable that the newer the calculation result is, for example, that the display mode of the thickness of the point and / or line is changed so that it becomes thinner over time since it was displayed on the graph.

[0062] The mobile terminal 1 may change the display mode of the locus C1 continuously or stepwise in the order of the newest to oldest displayed on the graph. Stepwise refers to a case where there is no color difference in a continuous portion of the locus. In the graph shown in FIG. 7, an example in which the display mode of the locus C1 is changed by color has been mainly described, but the present invention is not limited to this, and other display modes such as line type and shape may be changed. In the graph shown in FIG. 7, the regression line RL, the first line L1, and the second line L2 are obtained and the 99.7% acceptable region is displayed, but this display may not be necessary.

[0063] (Variation 2) In the graph shown in FIG. 6, the display mode of each point plotted with the index value and / or the line connecting the points is changed for each time divided based on an event called a presentation. However, when the time when the measurement device 2 acquires the biological data is used as an attribute of the index, the display mode of each plotted point and / or the line connecting the points may be changed not only for each time divided based on an event but also for each time period as follows. For example, when the activity state of the autonomic nerves of the subject P is monitored on a daily basis, the time period is divided into a sleeping time period of 0:00 to 6:00, a morning time period of 6:00 to 12:00, a daytime time period of 12:00 to 18:00, and a nighttime time period of 18:00 to 24:00, and the plots of the index values ​​based on the measurement data measured in different time periods are displayed in a distinguishable manner, so that the activity state of the autonomic nerves of the subject P in a day can be easily grasped.

[0064] Fig. 8 shows an example of a graph display included in the calculation result obtained by the monitoring device according to the second modification. The graph shown in Fig. 8 is used to grasp the activity state of the autonomic nerves of the subject P in one day. In this graph, a trajectory C2 is displayed in which the values ​​of the indexes for one day are plotted with the Y axis being the logarithm of HF and the X axis being LF / HF. In the trajectory C2, for each time period, the display mode of each point and / or the line connecting the points plotted based on the measurement data for that time period is different from the display mode of each point and / or line based on the measurement data for other time periods, so that the activity state of the autonomic nerves of the subject P in one day can be easily grasped.

[0065] Specifically, the mobile terminal 1 divides a day into four periods, 0:00-6:00 which is a sleeping period, 6:00-12:00 which is a morning period, 12:00-18:00 which is a daytime period, and 18:00-24:00 which is a nighttime period, and changes the display mode of the locus C2 to be different depending on the period, as in the graph shown in Fig. 8. Since the graph is displayed in black and white, the range of the locus C2 from 0:00-6:00 is displayed with a thin line, the range of the locus C2 from 6:00-12:00 with a thick line, the range of the locus C2 from 12:00-18:00 with a dashed line, and the range of the locus C2 from 18:00-24:00 with a dashed line.

[0066] The portable terminal 1 changes the display mode of the locus C2 stepwise depending on the time period, but may change it continuously according to the time when the measurement device 2 acquires the biometric data. In the graph shown in FIG. 8, an example in which the display mode of the locus C2 is changed depending on the type of line has been described, but the display mode may be changed in other ways, such as color and shape. In the graph shown in FIG. 8, the regression line RL, the first line L1, and the second line L2 are obtained and the 99.7% acceptable region is displayed, but this display may not be necessary. In addition, when the time when the measurement device 2 acquires the biometric data is used as an attribute of the index, the attribute may include a date, and the portable terminal 1 may not only obtain a calculation result including a graph used to grasp the autonomic nerve activity state of the subject P in a day, but may also obtain a calculation result including a graph used to grasp the autonomic nerve activity state of the subject P in a week or a month. For example, in a graph used to grasp the autonomic nerve activity state of the subject P in a week, the display mode of the locus C2 may be changed to be different depending on the day of the week.

[0067] (Embodiment 2) In the first embodiment, a monitoring system has been described that targets one subject P and enables monitoring of the autonomic nerve activity state of the subject P based on biometric data acquired by a measuring device 2 attached to the subject P. However, the monitoring system may also be one that enables monitoring of the autonomic nerve activity state of each of multiple subjects based on biometric data acquired by multiple measuring devices attached to each of the multiple subjects. The mobile terminal 1 (monitoring device) and each of the multiple measuring devices 2 that constitute the monitoring system according to the second embodiment have the same configuration as described in the monitoring system according to the first embodiment, and therefore the same configuration is denoted by the same reference numerals and detailed description will not be repeated.

[0068] The storage unit 25 of each measuring device 2 stores the identification number of the measuring device 2 in advance. For each measuring device 2, the identification number of the measuring device 2 is linked in advance with information on the subject to which the measuring device 2 is attached, and the mobile terminal 1 receives biometric data to which the identification number of the measuring device 2 is assigned, so that the mobile terminal 1 can identify the acquired biometric data as biometric data for each subject. The mobile terminal 1 can calculate an index including the LF and HF for each subject based on the biometric data for each subject. Therefore, it is possible to include the identification information of the subject as an attribute in the calculated index including the LF and HF.

[0069] When the attribute of the index includes the identification information of the subject, the mobile terminal 1 can obtain a calculation result in which the display mode of each point on which the index value is plotted and / or the line connecting the points in a graph is changed according to the identification information of the subject, and can display the calculation result on the display device. Fig. 9 shows an example of the display of a graph included in the calculation result obtained by the monitoring device according to the second embodiment.

[0070] The graph shown in Fig. 9 is a graph showing the autonomic nerve activity states of two subjects P1 and P2 displayed on the display device of one mobile terminal 1. In the graph shown in Fig. 9, the Y axis is the logarithm of HF, the X axis is LF / HF, and a trajectory p1 plotting the index values ​​of subject P1 and a trajectory p2 plotting the index values ​​of subject P2 are displayed. In order to distinguish and grasp the autonomic nerve activity states of subjects P1 and P2, the mobile terminal 1 includes the subject's identification information in the attribute of the index, and changes the display mode of each plotted point and / or the line connecting the points in the graph depending on the subject's identification information.

[0071] For example, as shown in the graph in FIG. 9, the mobile terminal 1 displays a trajectory p1 on which the index values ​​of the subject P1 are plotted as a solid line, and a trajectory p2 on which the index values ​​of the subject P2 are plotted as a dashed line. In the graph in FIG. 9, since the display is in black and white, an example in which the display manner of the trajectories p1 and p2 is changed depending on the line type has been described, but the display manner is not limited to this, and other manners such as color and shape may be changed as the display manner. In addition, the display manner of each of the trajectories p1 and p2 may be further changed depending on the order in which they are displayed on the graph and the time when the biometric data was acquired, as described above. In the graph in FIG. 9, the regression line RL, the first line L1, and the second line L2 are obtained, and the 99.7% acceptable region is displayed, but this display may not be necessary. When three or more subjects are targeted, it is not necessary to display each of them in a different display manner from the other subjects, and there may be multiple subjects whose display manners are the same as each other.

[0072] (Embodiment 3) In the first embodiment, it was explained that in a graph in which the Y axis is the logarithm of HF and the X axis is LF / HF and the values ​​of the index are plotted, the relaxed state is in the upper left region of the graph, and the state in which the subject P feels tension or stress is in the lower right region of the graph. Therefore, the region on the graph may be divided into a plurality of regions in advance based on the psychological state or physiological state through an experiment or the like, the processor 11 may set these plurality of regions in advance, and the monitoring device may monitor which region the activity state of the autonomic nerve of the subject P belongs to. The mobile terminal 1 and the measuring device 2 constituting the monitoring system according to the third embodiment have the same configuration as that described in the monitoring system according to the first embodiment, and therefore the same configuration is denoted by the same reference numerals and detailed description will not be repeated.

[0073] Fig. 10 shows an example of a graph display included in the calculation result obtained by the monitoring device according to the third embodiment. In the graph shown in Fig. 10, the area on the graph where the values ​​of the index are plotted with the Y axis being the logarithm of HF and the X axis being LF / HF is divided into seven areas based on the psychological or physiological state. Specifically, the area on the left side of the graph is divided from top to bottom into four areas: "Sleep", "Relaxed", "Anxious / Nervous", and "Exhausted / Damaged", the area at the top center of the graph is divided into "Daily (Normal) Activity", the area at the bottom center of the graph is divided into "Concentrated Work", and the area on the right side of the graph is divided into "Aggression".

[0074] 10 shows a trajectory C3 plotting the values ​​of the index of subject P. By including the area where the index value is plotted on the graph in the attribute of the index, the display mode of each plotted point and / or the line connecting each point on the graph is changed depending on the area where the index value is plotted on the graph, so that it is possible to know which of the seven areas corresponds to the state of the activity state of the autonomic nerves of subject P.

[0075] For example, as shown in the graph in FIG. 10, the mobile terminal 1 displays a trajectory C3 plotting the index value of the subject P as a thin line when it is in the "relaxed" region, a dashed line when it is in the "daily (normal) activity" region, a thick line when it is in the "concentrated work" region, a thick dashed line when it is in the "anxious / nervous" region, and a dashed line when it is in the "exhausted / damaged" region. In the graph shown in FIG. 10, since the display is in black and white, an example in which the display mode of the trajectory C3 is changed depending on the type of line has been described, but the display mode is not limited to this, and other modes such as color and shape may be changed. In addition, the display mode of the trajectory C3 may be further changed depending on the order in which it is displayed on the graph and the time when the biometric data was acquired, as described above.

[0076] The division of the regions on the graph shown in Fig. 10 is an example, and the processor 11 may divide the regions on the graph using the 99.7% acceptable region based on the regression line RL, the first line L1, and the second line L2 obtained in Fig. 6, and set these regions as regions to be used as attributes of the index. In this case, the mobile terminal 1 may obtain the calculation result such that the part of the trajectory C3 within the acceptable region is displayed with a dashed line, and the part outside the acceptable region is displayed with a solid line. This allows the mobile terminal 1 to easily visually recognize that the activity state of the autonomic nerve of the subject P deviates from the acceptable region.

[0077] (Embodiment 4) The monitoring system may monitor the activity state of the autonomic nerves with a monitoring device, taking into account position information of the subject P. The mobile terminal 1 (monitoring device) and measuring device 2 constituting the monitoring system according to embodiment 4 have the same configurations as those described in the monitoring system according to embodiment 1, and therefore the same configurations are denoted with the same reference numerals and detailed description will not be repeated.

[0078] The GPS 23 of the measurement device 2 acquires location information of the subject P. When transmitting biometric data to the mobile terminal 1, the measurement device 2 adds the location information of the subject P acquired by the GPS 23 to the biometric data and transmits the biometric data after the addition. The mobile terminal 1 can include the location information of the subject P in the attribute of the index by calculating an index including LF and HF based on the biometric data to which the location information of the subject P has been added.

[0079] Therefore, when the location information of the subject P is included in the attribute of the index, the mobile terminal 1 can obtain a calculation result in which the display mode of each point on which the index value is plotted and / or the line connecting the points is changed according to the location information of the subject, and can display the calculation result on the display device. Fig. 11 shows an example of the display of a graph included in the calculation result obtained by the monitoring device according to embodiment 4.

[0080] The graph shown in Fig. 11(a) is used to grasp the autonomic nerve activity state of subject P while driving a car on the circuit shown in Fig. 11(b). In the graph shown in Fig. 11(a), the Y axis is the logarithm of HF, and the X axis is LF / HF, and a trajectory C4 is displayed in which the values ​​of the indexes of subject P who went around the circuit are plotted. In order to distinguish and grasp the autonomic nerve activity state of subject P for each driving section of the circuit, the attribute of the index includes the position information of subject P, and in the trajectory C4, the display mode of each plotted point and / or the line connecting the points is changed depending on the position information of the subject.

[0081] For example, as shown in the graph in Fig. 11(a), the mobile terminal 1 displays the trajectory C4 during travel in the travel section M1 as a thin solid line, the trajectory during travel in the travel section M2 as a thin dashed line, the trajectory during travel in the travel section M3 as a thin dashed line, the trajectory during travel in the travel section M4 as a thick solid line, the trajectory during travel in the travel section M5 as a thick dashed line, and the trajectory during travel in the travel section M6 as a thick dashed line. In the graph shown in Fig. 11(a), the display mode of the trajectory C4 is changed depending on the type of line because the graph is displayed in black and white, but the display mode may be changed in other ways such as color, shape, etc. Also, the display mode of each of the trajectories C4 may be further changed depending on the order in which they are displayed on the graph and the time when the biometric data was acquired, as described above. In the graph shown in FIG. 11(a), the regression line RL, the first line L1, and the second line L2 are obtained, and the 99.7% acceptable range is displayed, but this display is not necessary.

[0082] As shown in the graph of Fig. 11(a), the activity state of the autonomic nerves of the subject P is displayed in combination with the position information of the subject P, so that the subject P can easily understand which driving section is stressed. Furthermore, the display can be applied to various sports training, various work training, and the like, in addition to driving a car on a circuit.

[0083] (Embodiment 5) In the fourth embodiment, a monitoring system capable of monitoring the autonomic nerve activity state of a single subject P based on the position information and biometric data of the subject P has been described. However, the monitoring system may be capable of monitoring the autonomic nerve activity state of each of a plurality of subjects based on their respective identification information, position information, and biometric data. FIG. 12 is a schematic diagram showing the configuration of a monitoring system 200 including a monitoring device according to the fifth embodiment. The monitoring system 200 includes a terminal 1a (monitoring device) and measuring devices 2a to 2c.

[0084] Terminal 1a (e.g., a computer, tablet terminal, etc.) functions as a monitoring device by executing a program for monitoring the activity state of the autonomic nerves, and enables real-time monitoring of the activity state of the autonomic nerves of subjects Pa to Pc based on biological data indicating heartbeats measured by measuring devices 2a to 2c. Terminal 1a and measuring devices 2a to 2c constituting monitoring system 200 according to embodiment 5 are configured in the same manner as mobile terminal 1 and measuring device 2 described in the monitoring system according to embodiment 1, and therefore the same components are denoted by the same reference numerals and detailed description will not be repeated. Processing based on subject identification information is similar to that described in embodiment 2, and therefore description will be omitted here.

[0085] Each of the measuring devices 2a-2c has a GPS 23 like the measuring device 2. When transmitting biometric data to the terminal 1a, the measuring devices 2a-2c add the location information of each of the subjects Pa-Pc acquired by the GPS 23 to the biometric data and transmit the biometric data after the addition. The terminal 1a calculates an index including LF and HF for each of the subjects Pa-Pc based on the biometric data to which the location information of the subject has been added. The terminal 1a sequentially obtains calculation results including a map showing the positions of the subjects Pa-Pc, in which the display mode of the positions of the subjects Pa-Pc is changed based on the above index. Based on the sequentially obtained calculation results, the activity state of the autonomic nerves of the subjects Pa-Pc active on a field (for example, a soccer field) is displayed together with the positions within the field, thereby making it possible to monitor the above. More specifically, it is as follows.

[0086] Fig. 13 shows an example of a map display included in the calculation result obtained by the monitoring device according to the fifth embodiment. The map shown in Fig. 13 is generated by the terminal 1a by executing the map creation program 134, and the positions of the subjects Pa to Pc in the field are displayed on the map in real time as marks. In the map shown in Fig. 13, the position of the subject Pa is displayed as a circle mark, the position of the subject Pb as a triangle mark, and the position of the subject Pc as a star mark. The map also shows the trajectory of the movements of each of the subjects Pa to Pc over the past three minutes.

[0087] The terminal 1a calculates indexes including LF and HF based on the biological data of the subject Pa, finds the area of ​​the graph shown in Fig. 10 where the autonomic nerve activity of the subject Pa is present, and displays the mark of the subject Pa in the color set for that area. It is assumed that colors are set in advance for each of the seven areas of the graph shown in Fig. 10. For example, the terminal 1a determines that the autonomic nerve activity of the subject Pa is in the "exhausted / damaged" area, and displays the circle mark of the subject Pa in black.

[0088] Similarly, terminal 1a calculates indexes including LF and HF based on the biological data of subject Pb, finds the area of ​​the graph shown in Fig. 10 where the autonomic nerve activity of subject Pb is present, and displays the mark of subject Pb in the color set for that area. For example, terminal 1a determines that the autonomic nerve activity of subject Pb is in the area of ​​"daily (normal) activity", and displays the triangular mark of subject Pb in white.

[0089] Furthermore, the terminal 1a calculates an index including LF and HF based on the biological data of the subject Pc, finds the area of ​​the graph shown in Fig. 10 where the subject Pc's autonomic nerve activity is present, and displays the mark of the subject Pc in the color set for that area. For example, the terminal 1a determines that the autonomic nerve activity of the subject Pc is in the "aggressive" area, and displays the star mark of the subject Pc in red (shown by hatching in Fig. 13).

[0090] In FIG. 10, an example was described in which the attribute of the index includes an area in which the value of the index is plotted on a graph with the first axis being the logarithm of HF and the second axis being LF / HF. In this case, as described above, the terminal 1a obtains a calculation result including a map displaying the positions of the subjects Pa to Pc as a calculation result, in which the display mode of the positions of the subjects Pa to Pc is changed depending on the area in which the value of the index is plotted, and the display device displays the map. Furthermore, in the example of FIG. 10, the attribute of the index also includes the identification information of the subjects. The terminal 1a obtains a calculation result in which the display mode of the positions of the subjects Pa to Pc is also changed depending on the identification information of the subjects. Specifically, in the map included in the calculation result, the display mode of the index related to the subject Pa is changed depending on the identification information, such that the display of the index related to the subject Pa is a circle mark, the display of the index related to the subject Pb is a triangle mark, and the display of the index related to the subject Pc is a star mark. In the above, an example was described in which a calculation result including a map is obtained for multiple subjects, but the present embodiment is not limited to this. A single subject may be used as the subject, and calculation results including a map may be obtained.

[0091] In the map shown in Fig. 13, an example in which the display mode of the marks of the subjects Pa to Pc is changed by color has been described, but the display mode may be changed in other ways such as hatching, shape, size, etc. Furthermore, the display mode of each of the marks of the subjects Pa to Pc may be further changed according to the order in which they are displayed and the time when the biological data was acquired, as described above. In the map shown in Fig. 13, the display mode of each of the marks of the subjects Pa to Pc may be changed according to the area in which the value of the index is plotted, based on whether it is within or outside the 99.7% acceptable area calculated from the regression line RL, the first line L1, and the second line L2, instead of the area shown in Fig. 10.

[0092] As shown in the map in Fig. 13, the autonomic nerve activity state of the subjects Pa to Pc and the position information of the subjects Pa to Pc are displayed in combination, so that it is easy to know which of the subjects Pa to Pc playing soccer should be substituted. Specifically, in the map in Fig. 13, the autonomic nerve activity state of the subject Pa is in the "exhausted / damaged" region, so that it is easy to know that the subject Pa needs to be substituted. Furthermore, the display can be applied to training for various sports, various work training, and the like, in addition to the subjects Pa to Pc playing soccer.

[0093] (Other variations) As described above, the attributes of the index include the time when the biometric data was acquired, the order in which it is displayed on the graph, the identification information of the subject, and the location information of the subject P. However, the attributes of the index are not limited to this, and may be any information related to the index, such as the gender, nationality, age, and physique of the subject P, and may include information such as the type of measuring device. Also, as described above, the format for displaying the index may include a format in which the index is displayed as each point plotted on the graph shown in FIG. 6 and / or a line connecting the points, or a format in which the index is displayed as the color of the marks of the subjects Pa to Pc on the map shown in FIG. 13. However, the format for displaying the index is not limited to this, and may be any format in which the index can be visually recognized and the form can be changed, such as a format in which the value of the index is displayed as a number, and the display form may be changed by changing the color of the number displayed in this format.

[0094] (Aspect) (1) A monitoring device according to the present disclosure is a monitoring device used to monitor an activity state of an autonomic nerve of a subject, an input unit that receives input of measurement data from a measurement device that measures the heartbeat of a subject; a calculation unit that calculates a power spectrum from the measurement data received by the input unit through frequency spectrum conversion, calculates an index including LF and HF based on the power spectrum, and obtains a calculation result related to the display of the index to be displayed on a display device; an output unit that outputs the calculation result obtained by the calculation unit to a display device; The calculation unit obtains, as a calculation result, a calculation result in which the display mode of the index displayed on the display device is changed according to the attribute of the index.

[0095] (2) The monitoring device according to (1), wherein the calculation result includes a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include the order in which the plots cause the points and / or lines connecting the points to appear on the graph; The calculation unit obtains a calculation result in which the display mode of each point on which the index values ​​are plotted and / or the lines connecting the points on the graph is changed depending on the order in which they are displayed on the graph.

[0096] (3) In the monitoring device according to (2), the indicator display mode that is changed is a color, The calculation unit calculates a calculation result in which the display mode of each point on the graph where the index value is plotted and / or the lines connecting each point is changed from a color whose color difference from the background color of the graph is equal to or greater than a predetermined value to a color closer to the background color, in order from the newest to the oldest display displayed on the graph.

[0097] (4) The monitoring device according to any one of (1) to (3), wherein the calculation result includes a graph plotting the index value with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include the time at which the measurement device acquired the measurement data for each point displayed on the graph by the plot; The calculation unit obtains a calculation result in which the display mode of each point on which the index values ​​are plotted and / or the lines connecting the points on the graph is changed depending on the time at which the measurement device acquired the measurement data relating to each point.

[0098] (5) The monitoring device according to any one of (1) to (4), wherein the measurement data includes identification information of the subject; the calculation results include a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include subject identification information; The calculation unit obtains a calculation result in which the display mode of each point on which the index values ​​are plotted and / or the lines connecting the points on the graph is changed according to the subject's identification information.

[0099] (6) The monitoring device according to any one of (1) to (5), wherein the calculation result includes a graph plotting the index value with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include the area where the metric's values ​​are plotted on the graph, The calculation unit obtains a calculation result in which the display mode of each point on which the index values ​​are plotted and / or the lines connecting the points on the graph is changed depending on the area in which the index values ​​are plotted on the graph.

[0100] (7) The monitoring device according to (6), wherein the calculation unit is A regression line is calculated by the least squares method from each point plotted by HF and LF / HF calculated based on the measurement data, and an allowable region is calculated from the regression line and a statistic representing the variation related to the difference between each point and the regression line; A region on the graph is set based on the calculated acceptable region.

[0101] (8) In the monitoring device described in (6), the calculation unit predefines an area on the graph depending on a psychological state or a physiological state.

[0102] (9) The monitoring device according to any one of (1) to (8), wherein the measurement data includes position information of the subject; the calculation results include a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include location information of the subject; The calculation unit obtains a calculation result in which the display mode of each point on which the index values ​​are plotted and / or the lines connecting the points on a graph is changed according to the position information of the subject.

[0103] (10) The monitoring device according to any one of (1) to (9), wherein the measurement data includes position information of the subject; The attributes include an area in which the value of the metric is plotted on a graph when the value of the metric is plotted on a graph with a first axis being the logarithm of HF and a second axis being LF / HF; The calculation unit obtains a calculation result including a map displaying the subject's position, in which the display mode of the subject's position is changed depending on the area in which the index value is plotted.

[0104] (11) A monitoring system according to the present disclosure, comprising: a monitoring device according to any one of (1) to (10); A measuring device for measuring the subject's heartbeat; and a display device for displaying the calculation results.

[0105] (12) A monitoring method according to the present disclosure, which is used to monitor an activity state of an autonomic nerve of a subject, and is executed by a monitoring device including an input unit that receives an input of measurement data from a measurement device that measures a heartbeat of the subject, a calculation unit that determines a calculation result related to a display of an index including LF and HF, which is displayed by a display device, from the measurement data received by the input unit, and an output unit that outputs the calculation result determined by the calculation unit to the display device, receiving an input of measurement data at an input unit; Calculating a power spectrum from the measurement data through a frequency spectrum transformation; Calculating an index including LF and HF based on the power spectrum; obtaining a calculation result in which a display mode of the marker displayed on the display device is changed according to the attribute of the marker; and outputting the calculation result from the output unit to a display device.

[0106] (13) A program according to the present disclosure, A program executed by a calculation unit of a monitoring device including an input unit that receives input of measurement data from a measurement device that measures the heartbeat of a subject, a calculation unit that obtains a calculation result related to the display of indices including LF and HF, which is displayed by a display device, from the measurement data received by the input unit, and an output unit that outputs the calculation result obtained by the calculation unit to the display device, The program includes: calculating a power spectrum from the measurement data received by the input unit through frequency spectrum transformation; Calculating an index including LF and HF based on the power spectrum; a step of obtaining a calculation result in which the display mode of the index displayed on the display device is changed according to an attribute of the index as a calculation result, and outputting the calculation result to the display device by an output unit. [Explanation of symbols]

[0107] 1 mobile terminal, 1a terminal, 2, 2a to 2c measuring device, 11 processor, 12 memory, 13 storage, 14 input interface, 15 output interface, 16 communication interface, 17 media reader, 18, 26 processor bus, 21 control unit, 22 sensor, 22a skin contact electrode, 24 input / output interface, 25 memory unit, 100, 200 monitoring system.

Claims

1. A monitoring device used to monitor an activity state of an autonomic nerve of a subject, comprising: an input unit that receives input of measurement data from a measurement device that measures the heartbeat of the subject; a calculation unit that calculates a power spectrum from the measurement data received by the input unit through frequency spectrum conversion, calculates an index including LF and HF based on the power spectrum, and obtains a calculation result related to the display of the index, which is displayed on a display device; an output unit that outputs the calculation result obtained by the calculation unit to the display device, the calculation unit obtains, as the calculation result, a calculation result in which a display mode of the index displayed on the display device is changed according to an attribute of the index. Monitoring equipment.

2. the calculation result includes a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; the attributes include the order in which plotting causes points and / or lines connecting the points to appear on the graph; The monitoring device according to claim 1 , wherein the calculation unit determines the calculation result by changing the display mode of each point on the graph where the values ​​of the index are plotted and / or the lines connecting the points, depending on the order in which they are displayed on the graph.

3. The aspect of the display of the indicator that is changed is color, The monitoring device of claim 2, wherein the calculation unit determines the calculation result by changing the display mode of each point on the graph where the value of the index is plotted and / or the lines connecting between each of the points from a color having a color difference of a predetermined value or more with respect to a background color of the graph to a color closer to the background color, in order from the newest to the oldest display displayed on the graph.

4. the calculation result includes a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; the attributes include a time at which the measurement device acquired measurement data associated with each point plotted on the graph; The monitoring device of claim 1, wherein the calculation unit determines the calculation result by changing the display mode of each point on the graph where the values ​​of the index are plotted and / or the line connecting the points depending on the time at which the measurement data relating to each point was acquired by the measurement device.

5. The measurement data includes identification information of the subject, the calculation result includes a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include an identity of the subject; The monitoring device of claim 1, wherein the calculation unit determines the calculation result in which the display mode of each point on the graph plotting the values ​​of the index and / or the lines connecting the points is changed based on the identification information of the subject.

6. the calculation result includes a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; the attributes include an area over which the values ​​of the index are plotted on the graph; The monitoring device of claim 1, wherein the calculation unit determines the calculation result in which the display mode of each point on the graph where the value of the index is plotted and / or the line connecting the points is changed depending on the area in which the value of the index is plotted on the graph.

7. The calculation unit is A regression line is calculated by a least squares method from each point plotted by HF and LF / HF calculated based on the measurement data, and an allowable range is calculated from the regression line and a statistic representing a variation related to the difference between each point and the regression line; The monitoring device according to claim 6 , further comprising: setting an area on the graph based on the calculated acceptable area.

8. The monitoring device according to claim 6 , wherein the calculation unit predefines an area on the graph depending on a psychological state or a physiological state.

9. the measurement data includes position information of the subject; the calculation result includes a graph plotting the value of the index with a first axis being the logarithm of HF and a second axis being LF / HF; The attributes include location information of the subject; The monitoring device of claim 1 , wherein the calculation unit determines the calculation result in which the display mode of each point on the graph plotting the values ​​of the index and / or the lines connecting the points is changed based on position information of the subject.

10. the measurement data includes position information of the subject; the attribute includes an area in which the value of the index is plotted on a graph when the value of the index is plotted on a graph with a first axis being the logarithm of HF and a second axis being LF / HF; The monitoring device according to claim 1 , wherein the calculation unit obtains as the calculation result a calculation result including a map displaying the position of the subject, in which the display manner of the subject's position is changed depending on the area in which the value of the index is plotted.

11. A monitoring device according to any one of claims 1 to 10; The measurement device for measuring the heartbeat of the subject; and the display device that displays the calculation result.

12. A monitoring method for monitoring an activity state of an autonomic nerve of a subject, the monitoring method being performed by a monitoring device including an input unit that receives an input of measurement data from a measurement device that measures the heartbeat of the subject, a calculation unit that calculates a calculation result related to the display of an index including LF and HF, which is displayed by a display device, from the measurement data received by the input unit, and an output unit that outputs the calculation result calculated by the calculation unit to the display device, receiving an input of the measurement data by the input unit; calculating a power spectrum from the measurement data through a frequency spectrum transformation; calculating the index including LF and HF based on the power spectrum; obtaining, as the calculation result, a calculation result in which a display mode of the index displayed on the display device is changed according to an attribute of the index; and outputting the calculation result from the output unit to the display device.

13. A program executed by a calculation unit of a monitoring device including an input unit that receives input of measurement data from a measurement device that measures the heartbeat of a subject, a calculation unit that calculates a calculation result related to the display of indices including LF and HF, which is displayed by a display device, from the measurement data received by the input unit, and an output unit that outputs the calculation result calculated by the calculation unit to the display device, The program is calculating a power spectrum from the measurement data received by the input unit through a frequency spectrum transformation; calculating the index including LF and HF based on the power spectrum; and obtaining, as the calculation result, a calculation result in which the display mode of the index displayed on the display device is changed according to an attribute of the index, and outputting the calculation result to the display device by the output unit.

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