WO2019193998A1

WO2019193998A1 - State acquisition device, network system, and state processing device

Info

Publication number: WO2019193998A1
Application number: PCT/JP2019/012353
Authority: WO
Inventors: 林　哲也; あずさ中野; 濱本　将樹; 啓司武田
Original assignee: シャープ株式会社
Priority date: 2018-04-04
Filing date: 2019-03-25
Publication date: 2019-10-10
Also published as: JPWO2019193998A1

Abstract

Provided is a state acquisition device (500) provided with a communication interface (560), electrodes (401, 402, 403), and a processor (510) for measuring a pulse timing of a living body on the basis of signals from the electrodes (401, 402, 403) and transmitting information indicating the pulse timing to a state processing device (300) via the communication interface (560).

Description

Status acquisition device, network system, and status processing device

The following disclosure relates to a technique for acquiring the mental state or physical state of an animal.

Conventionally, techniques for acquiring the mental or physical state of an animal are known. For example, Japanese Patent No. 5160586 (Patent Document 1) discloses a pulse wave diagnostic device and a pulse wave diagnostic device control method. According to Patent Document 1, a photoelectric pulse wave detecting unit that detects a pulse wave by receiving transmitted light that has passed through an artery or scattered light scattered by an artery, and one beat of a pulse wave that is detected by the photoelectric pulse wave detecting unit. The pulse wave is calculated for each beat by calculating the pulse wave amplitude for each pulse and using the point of the pulse wave amplitude on the orthogonal coordinate plane formed by the two pulse wave amplitudes calculated successively as Poincare coordinates. An amplitude Poincare calculation unit; and a pulse wave amplitude distribution calculation unit that calculates a maximum and minimum change width of Poincare coordinates of the pulse wave amplitude calculated by the pulse wave amplitude Poincare calculation unit, the pulse wave amplitude distribution calculation unit Is the maximum and minimum changes within the range defined by two straight lines represented by Y = X + a and Y = X−a on the Poincare coordinates of the pulse wave amplitude calculated by the pulse wave amplitude Poincare calculation unit A pulse wave diagnostic device characterized by calculating a width It is subjected.

Japanese Patent No. 5160586

There is a need for a technology that can more accurately grasp the mental or physical state of an animal than before or more efficiently than before. The present disclosure has been made to solve such a problem, and the purpose of the present disclosure is to grasp the mental state or physical state of an animal more accurately than in the past or more efficiently than in the past. An object of the present invention is to provide a state acquisition device, a network stem, or a state processing device that can be used.

According to one aspect of the present disclosure, a pulsation timing of a living body is measured based on a communication interface, an electrode, and a signal from the electrode, and information indicating the pulsation timing is transmitted to the state processing device via the communication interface. A state acquisition device is provided.

As described above, according to the present disclosure, a state acquisition device and a network system that can grasp the mental state or physical state of an animal more accurately than before or can grasp more efficiently than before. Or a state processing device is provided.

1 is a diagram illustrating an overall configuration of a network system 1 according to a first embodiment. It is a figure which shows the function structure of the network system 1 concerning 1st Embodiment. It is a flowchart which shows the process sequence of the signal acquisition apparatus 500 concerning 1st Embodiment. It is an example of the electrocardiogram data and pulsation interval according to the first embodiment. It is a figure which shows the transmission data of the pulsation timing concerning 1st Embodiment. It is a flowchart which shows the process sequence for calculating the 1st autonomic nerve balance of the network system 1 concerning 1st Embodiment. It is a figure which shows the pulsation space | interval table concerning 1st Embodiment. From the pulsation interval table of the pulsation interval RR (n) and the next pulsation interval RR (n + 1) according to the first embodiment, the Y = X direction and the axis perpendicular to the axis It is an image figure which shows conversion. It is a table | surface which shows the standard of the standard deviation regarding the Y = X axis | shaft and the standard deviation regarding the axis | shaft perpendicular | vertical to Y = X for every mental state or physical state of the dog concerning 1st Embodiment. It is a Poincare plot figure in the excitement state of the dog concerning a 1st embodiment. It is a Poincare plot figure in the state where breathing is stable in the normal state of the dog concerning a 1st embodiment. It is a Poincare plot figure in the normal state of the dog concerning 1st Embodiment. It is a Poincare plot figure in the resting state of the dog concerning 1st Embodiment. It is a flowchart which shows the process sequence for calculating the 2nd autonomic nerve balance of the network system 1 concerning 1st Embodiment. The standard deviation about the Y = X axis, the standard deviation about the axis perpendicular to Y = X, and the standard deviation as the second autonomic balance for each mental or physical state of the dog according to the first embodiment It is a table | surface which shows the standard of the product of and the ratio of standard deviation. It is a flowchart which shows the 1st process sequence for calculating the respiration rate of the network system 1 concerning 1st Embodiment. It is a graph after the spline complementation of the relationship between the pulsation detection timing and the pulsation interval according to the first embodiment. It is an example of the power spectrum distribution concerning 1st Embodiment. It is an example of RRI fluctuation and power spectrum distribution after spline interpolation when the dog according to the first embodiment is at rest. It is an example of RRI fluctuation and power spectrum distribution after spline interpolation during dog excitement according to the first embodiment. It is a figure which shows the pulsation interval table which shows the handling of data when transmission / reception data are missing when transmitting pulsation timing. It is drawing which shows the graph after spline complementation of the relationship between a pulsation detection timing and a pulsation interval, and the graph of power spectrum distribution in the case of transmitting pulsation timing. In addition, a dotted line shows the graph when all the data arrives. It is a figure which shows the pulsation interval table which shows the handling of data when transmission / reception data are missing when transmitting pulsation intervals. It is drawing which shows the graph after spline complementation of the relationship between a pulsation detection timing and a pulsation interval, and the graph of power spectrum distribution in the case of transmitting a pulsation interval. In addition, a dotted line shows the graph when all the data arrives. It is a figure which shows the transmission data of the pulsation timing concerning 2nd Embodiment. It is a figure which shows the transmission data of the pulsation timing concerning 3rd Embodiment. It is a figure which shows the function structure of the network system 1 concerning 4th Embodiment. It is a flowchart which shows the process sequence of the signal acquisition apparatus 500 concerning 4th Embodiment. It is a flowchart which shows the process sequence for calculating the respiration rate of the network system 1 concerning 4th Embodiment. It is a figure which shows the function structure of the 1st network system 1 concerning 5th Embodiment. It is a figure which shows the function structure of the 2nd network system 1 concerning 5th Embodiment. It is an example of the pulsation interval arrangement | sequence for plotting of the pulsation intervals before performing the spline interpolation concerning 1st Embodiment.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the following description, the same parts are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.
<First Embodiment>
<Overall configuration of network system>

First, the overall configuration of the network system 1 according to the present embodiment will be described with reference to FIG. 1 and FIG. FIG. 1 is a diagram showing an overall configuration of a network system 1 according to the present embodiment. FIG. 2 is a diagram illustrating a functional configuration of the network system 1 according to the present embodiment. In addition, below, the case where the state of the dog which has a respiratory arrhythmia is judged on behalf of an animal is demonstrated.

The network system 1 according to the present embodiment mainly includes

electrodes

401, 402, and 403 for acquiring an electrocardiogram attached to a chest of a dog, and a signal acquisition device 500 as a state acquisition device for processing an electrocardiogram signal. And a communication terminal 300 as a state processing device capable of communicating with the signal acquisition device 500.

The

electrodes

401, 402, and 403 for acquiring electrocardiograms are preferably attached to the chest and the like so as to sandwich the heart part. For example, the hair balls such as the paws of both front legs (or front legs and rear legs) are grown. There may be no place. In addition, it is desirable that the hair is in a state of being trimmed, or has an electrode with a gel attached thereto, or a protrusion-like structure that contacts the skin even if hair is present. Or the form which induces an electrocardiogram through a capacitive material without contact in the state where hair exists is desirable. Thereby, even an animal whose epidermis such as a dog is covered with hair can obtain an electrocardiogram. In this embodiment, three

electrodes

401, 402, and 403 are used. However, the number of electrodes may be two or more, and more electrodes may be used.
<Functional configuration and processing procedure of network system>

Next, the functional configuration and processing procedure of the network system 1 according to the present embodiment will be described. As described above, the network system 1 mainly includes the signal acquisition device 500 and the communication terminal 300.

First, the configuration and processing of the signal acquisition device 500 will be described with reference to FIGS. FIG. 3 is a flowchart showing processing executed by the signal acquisition device 500 according to the present embodiment. The signal acquisition device 500 includes an electrocardiogram preprocessing unit 511, a pulsation timing acquisition unit 512, and a transmission unit 560.

The electrocardiogram preprocessing unit 511 includes a filter and an amplifier. The electrocardiogram preprocessing unit 511 converts the electrocardiogram signals sent from the

electrodes

401, 402, and 403 into pulsation data as shown in FIG. 4 and delivers the pulsation data to the pulsation timing acquisition unit 512 (step S002). ).

More specifically, the electrocardiogram preprocessing unit 511 includes a filter device such as a high-pass filter and a low-pass filter, an amplification device including an operational amplifier, an A / D conversion device that converts an electrocardiogram analog signal into a digital signal, and the like. Is included (step S004). The filter device, the amplification device, and the like may be implemented by software. Further, in the A / D conversion device, it is desirable to perform sampling with a period and accuracy capable of discriminating a difference in fluctuation amount of a time interval between beats (hereinafter referred to as “beat interval”). . That is, it is desirable that the A / D conversion frequency be acquired at a frequency of 25 Hz or more. For example, in the present embodiment, sampling of an electrocardiogram signal at 100 Hz is performed. By increasing the sampling frequency, it is possible to accurately grasp the fluctuation amount of the beat interval.

The pulsation timing acquisition unit 512 is realized by, for example, a CPU (Central Processing Unit) 510 executing a memory program. The pulsation timing acquisition unit 512 sequentially specifies the pulsation timing based on the electrocardiogram data. More specifically, the pulsation timing acquisition unit 512 detects an electrocardiographic peak signal (R wave) by a method such as threshold detection (step S006). The pulsation timing acquisition unit 512 identifies the peak time of each electrocardiogram (step S008). As a method for calculating the beat interval, in addition to the above, peak detection may be performed by derivation of a period using an autocorrelation function, a method using a rectangular wave correlation trigger, a method of detecting a plurality of feature points, or the like. Needless to say, the pulsation timing is an absolute or relative time when the pulsation occurs.

In the present embodiment, the pulsation timing acquisition unit 512 continuously specifies the pulsation timing for the electrocardiogram signals that are continuously input. The pulsation timing acquisition unit 512 transmits the time indicating the pulsation timing to the communication terminal 300 via the transmission unit 560 for each pulsation (step S010). The transmission unit 560 is realized by a communication interface including an antenna, a connector, and the like, for example.

More specifically, as shown in FIG. 5, the CPU 510, for each predetermined time zone, a time stamp indicating the reference time of the predetermined time zone, and for each pulsation timing included in the predetermined time zone, The detailed elapsed time from the reference time in a predetermined time zone is transmitted to the communication terminal 300 via the communication interface. In the present embodiment, the length of the predetermined time zone is 1 second, and the detailed elapsed time from the reference time in the predetermined time zone is indicated in msec.

Next, the configuration and processing of the communication terminal 300 will be described with reference to FIG. 2 and FIG. FIG. 6 is a flowchart illustrating processing executed by the communication terminal 300 according to the present embodiment. The communication terminal 300 includes a reception unit 361, a beat interval acquisition unit 321, an analysis unit 311, a graph creation unit 312, a result output unit 313, a display 330, a data storage unit 322, and a transmission unit 362.

First, the reception unit 361 and the transmission unit 362 are realized by a communication interface 360 including an antenna, a connector, and the like, for example. The receiving unit 361 receives data indicating the pulsation timing from the signal acquisition device 500 (step S100).

The pulsation interval acquisition unit 321 includes various types of memory 320 and stores data received from the signal acquisition device 500. In the present embodiment, CPU 310 calculates the time between beats based on the beat timing received via communication interface 360 (step S102). The CPU 310 sequentially accumulates pulsation intervals as a pulsation interval table (see FIG. 7) in the memory 320 (step S104). In the present embodiment, the beat interval is calculated in units of msec (millisec), for example, as shown in the figure. However, these data may be stored in the memory 320 of the communication terminal 300 or may be stored in another device accessible from the communication terminal 300. In FIG. 7, the row of time in which 9 is written in the

pulsation timings

1 and 2 indicates a time zone in which no pulsation was originally detected. This indicates a time zone in which there is no pulsation by inputting a numerical value of 9, and may be another numerical value or symbol.

In the present embodiment, when data indicating the pulsation timing from the signal acquisition device 500 is lost for some reason, the CPU 310 performs various plots for a period during which the pulsation interval cannot be calculated, as will be described later. First, various plots are restarted after the period has elapsed. More specifically, it will be described later as a method for handling missing data.

The analysis unit 311, the graph creation unit 312, and the result output unit 313 are realized by the CPU 310 executing a program in the memory 320, for example. The analysis unit 311 reads pulsation interval data from the pulsation interval acquisition unit 321 in a unit of time necessary for determining the state, for example, 1 minute, 10 minutes, 1 hour, etc. A pulsation interval table of the interval RR (n) and the next pulsation interval RR (n + 1) is created (step S106).

As shown in FIG. 8, the analysis unit 311 calculates the Y = X direction and the direction perpendicular thereto from the pulsation interval table of the pulsation interval RR (n) and the next pulsation interval RR (n + 1). Is converted into an axis (step S108).

The analysis unit 311 calculates the standard deviation regarding the numerical sequence constituting each axis after the axis conversion (step S110). Note that the analysis unit 311 may calculate only the standard deviation about the Y = X axis, may calculate only the standard deviation about the axis perpendicular to Y = X, or may calculate both. FIG. 9 is a table showing a standard deviation of the standard deviation on the Y = X axis and the standard deviation on the axis perpendicular to Y = X for each mental state or physical state of the dog.

Note that the analysis unit 311 may specify an axis with the maximum variance by a method such as principal component analysis, and calculate a standard deviation regarding the axis and an axis perpendicular to the axis. Furthermore, the analysis unit 311 may calculate a standard deviation regarding the X axis and the Y axis without performing axis conversion. When the direction of large variance is the X-axis direction and the Y-axis direction, the standard deviation of the X-axis and the Y-axis is calculated without performing axis conversion, thereby evaluating the variation state of the beat interval plotted by Poincare plot. it can. In this case, since it is not necessary to perform axis conversion, the amount of calculation can be reduced.

The result output unit 313 displays the standard deviation or outputs a voice message on its own or external output device such as the display 330 or the speaker, for example (step S114). More specifically, the result output unit 313 may output only the standard deviation regarding the Y = X axis, may output only the standard deviation regarding the axis perpendicular to Y = X, or may output both. Alternatively, only the larger one may be output, or only the smaller one may be output.

By calculating the standard deviation, it is possible to evaluate the variation state of the beat interval obtained by Poincare plot with the beat interval R−R (n) and the next beat interval R−R (n + 1) as axes.

The network system 1 according to the present embodiment may include a server that can communicate with the communication terminal 300. In that case, the CPU 310 as the result output unit 313 accumulates the standard deviation and the relationship table in the data storage unit 322, or transmits the data to the server via the Internet by using the transmission unit 362. As a result, the current output result can be used for grasping the short-term or long-term stress state of the observation target.

In the present embodiment, separately from step S108, the graph creation unit 312 simultaneously determines the pulsation interval RR (n) in the range used for calculating the standard deviation and the subsequent steps from the pulsation interval table of FIG. The data with the pulsation interval RR (n + 1) is acquired, and Poincare plots as shown in FIGS. 10 to 13 are created.

Then, the result output unit 313 displays the created Poincare plot on its own or an external output device such as a display. Note that the graph creation unit 312 may create and output a Poincare plot diagram after axis conversion using the result of step S108.

Here, the Poincare plot will be explained. FIG. 10 is a Poincare plot in the excited state of the dog according to the present embodiment. FIG. 11 is a Poincare plot in a state where the breathing is stable in the normal state of the dog according to the present embodiment. FIG. 12 is a Poincare plot diagram in a normal state of the dog according to the present embodiment. FIG. 13 is a Poincare plot in the resting state of the dog according to the present embodiment.

First, in the case of an animal having a respiratory arrhythmia such as a dog, in an excited state as shown in FIG. 10, the heart rate increases (beat interval is shortened), and the fluctuation of the beat interval becomes small. It will be in the state where these points gather in a certain place.

In the normal state where the breathing is stable as shown in FIG. 11, the heart rate is not as small as the resting state (the spread of the plotted points is not as large as the resting state), but at the center of the distribution of the plotted points. There are areas with few plots (hole blanks). The reason for this shape is thought to be that the fluctuation of the pulsation changes periodically (respiratory arrhythmia) because the heartbeat of the dog is greatly affected by respiration. Therefore, although it is not a relaxed and gentle pulsation, it is considered that there is a blank space because breathing is performed stably.

In the normal state as shown in FIG. 12, the pulsation fluctuates and the variation becomes large (the plot points are widened), but the plot points are scattered.

In the resting state of FIG. 13, the interval between pulsations increases because the dog is relaxed, and further, the spread of the plot points increases, and the circular or rectangular shape increases due to the large influence of respiratory arrhythmia. It becomes a shape close to or a shape close to a triangle. In any of the shapes, in a resting state, a blank portion can be seen at the center of the distribution of plot points of the Poincare plot.

As described above, in the present embodiment, the size and shape of the distribution of the plot points of the Poincare plot is indirectly estimated based on the calculation result, and whether or not the plot is often observed or reduced in the central portion. As a result, the mental state or physical state of the animal can be predicted. And as above-mentioned, the analysis part 311 calculates the standard deviation of the variation degree of a Poincare plot, ie, a pulsation interval, as a numerical value which shows autonomic balance.
<Another form of numerical values for autonomic balance>

In the above embodiment, the communication terminal 300 outputs the standard deviation along the Y = X axis of the Poincare plot or the standard deviation along the axis perpendicular to Y = X. However, the product of the two standard deviations may be calculated as a numerical value indicating the autonomic balance. Below, with reference to FIG. 14, the process sequence of the network system 1 concerning this Embodiment is demonstrated.

FIG. 14 is a flowchart showing a processing procedure of the network system 1 according to the present embodiment. Steps S100 to S108 are the same as those in FIG. 6, and thus description thereof will not be repeated here.

The CPU 310 as the analysis unit 311 calculates the standard deviation for each axis after the axis conversion (step S110). The analysis unit 311 may specify an axis that maximizes the variance, and calculate a standard deviation regarding the axis and an axis perpendicular to the axis.

And the analysis part 311 calculates the product of these two standard deviations, the square root of a product, etc. as a numerical value which shows autonomic balance (step S112).

The result output unit 313 displays the product of the standard deviation, the square root of the product, or the like, or outputs a voice message on an output device such as a display or a speaker of the communication terminal 300 or outside (step S114). ). More specifically, the result output unit 313 may output a standard deviation with respect to the Y = X axis, a standard deviation with respect to the Y = −X axis, the product of both, the square root of the product, and the like.

FIG. 15 shows the product or product of the standard deviation on the Y = X axis, the standard deviation on the axis perpendicular to Y = X, and the standard deviation as a numerical value indicating the autonomic balance for each mental state or physical state of the dog. It is a table | surface which shows the standard of the square root of etc. and the ratio of standard deviation.

By calculating the product of the standard deviation, the size of the spread of the beat interval distribution obtained by Poincare plot with the beat interval R−R (n) and the next beat interval R−R (n + 1) as axes, respectively, Variations such as shape, uniform dispersion, and blank at the center can be evaluated. In addition, it is possible to effectively evaluate the variation state when the aspect ratio is the same and only the size is changed, or when the distribution spread area is the same and the variation state of the central portion is different.

Also in this case, the result output unit 313 accumulates the standard deviation, the product of the standard deviation, the square root of the product, the pulsation interval table, and the like in the data storage unit 322 or uses the transmission unit 362, and the like via the Internet. To the server 100. As a result, the current output result can be used for grasping the short-term or long-term stress state of the observation target.

The analysis unit 311 calculates a product of standard deviations of two axes, a square root of the product, or the like, but may calculate a product of standard deviations of three or more axes or a power root thereof. .

The CPU 310 performs the calculation shown in FIG. 12 for a predetermined period, for example, every few minutes, and accumulates the calculation result in the database of the memory 320 for creating a diagnostic graph to be described later.
<Calculation method of respiratory rate>

The CPU 310 of the communication terminal 300 according to the present embodiment may calculate the respiration rate of the target animal in addition to the information indicating the autonomic nerve balance of the target animal. Referring to FIG. 16, CPU 310 of communication terminal 300 executes, for example, the following process by executing a program in memory 320.

CPU310 receives the time information which shows a pulsation timing from the signal acquisition apparatus 500 via the communication interface 360 (step S100). CPU310 calculates the time between pulsations based on pulsation timing (step S102). The CPU 310 sequentially accumulates pulsation intervals as a pulsation interval table (see FIG. 7) in the memory 320 (step S104). However, these data may be stored in the memory 320 of the communication terminal 300 or may be stored in another device accessible from the communication terminal 300.

The CPU 310 mathematically interpolates (for example, spline interpolation) the relationship between the beat detection time for one minute and the beat interval as shown in FIG. 17 (step S206).

Then, the CPU 310 performs frequency analysis of the obtained function as shown in FIG. 18 (step S208). The CPU 310 specifies the maximum peak of the power spectrum in an arbitrary frequency range (for example, between 0.05 and 0.5 Hz) in the power spectrum distribution as shown in FIG. 18 obtained by the frequency analysis (step S210). ). Here, as an example, if the ratio of the maximum peak compared to the second largest peak has a magnitude (for example, three times) equal to or greater than an arbitrary threshold, the CPU 310 determines that the state is “measurable”.

More specifically, for example, the RRI fluctuation after the spline interpolation of a dog in a relaxed state in an indoor quiet room is as shown in FIG. The power spectrum distribution in this case is as shown in FIG. 19B, and the ratio of the maximum peak compared to the second largest peak has a magnitude (for example, three times) greater than an arbitrary threshold value. The CPU 310 determines that the state is “measurable”.

Conversely, for example, the RRI fluctuation after spline interpolation in a dog that is not calm in an outdoor noisy environment is as shown in FIG. The power spectrum distribution in this case is as shown in FIG. 20B, and the ratio of the maximum peak compared to the second largest peak has a magnitude (for example, three times) greater than an arbitrary threshold value. Therefore, the CPU 310 determines that the measurement is impossible.

When the CPU 310 determines that the state is “unmeasurable”, the processing from step S206 is repeated based on the beat interval that the signal acquisition device 500 has already acquired for another timing.

CPU 310 detects various vital data when it is determined as “measurable state”. For example, the CPU 310 calculates the respiration rate by calculating the reciprocal with the maximum peak in an arbitrary frequency range (for example, a range of 0.05 to 0.5 Hz) in the frequency analysis as the respiration frequency.

The CPU 310 displays the respiration rate per unit time and outputs sound via the display 330, the speaker 370, the communication interface 360 for transmitting data to the outside, and the like. Further, the CPU 310 performs the calculation shown in FIG. 16 for a predetermined period, for example, every few minutes, and accumulates the calculation result in the database of the memory 320 for creating various diagnostic graphs.
<Handling of missing data>

In the present embodiment, the time information indicating the pulsation timing is sequentially sent from the signal acquisition device 500. Therefore, if data transmission for any given period fails, the CPU 310 of the communication terminal 300 For example, in step S104 of FIG. 6, step S104 of FIG. 14, or step S104 of FIG. 16, as shown in FIG. 21, the pulsation interval related to the predetermined period is invalidated, and The calculation of the beat interval is restarted from the later beat timing.

FIG. 32 shows an example of a pulsation interval array for plotting pulsation intervals before performing spline interpolation. (A) is an array of beat intervals created from data without loss, and (b) is a numerical value obtained by sequentially adding beat intervals from the beat timing data after data loss has occurred ( This is an array of pulsation intervals in which the deficit is corrected by calculating “accumulation time of pulsation intervals”. The spline interpolation data array shown in FIG. 22 can be created by performing spline interpolation on this array and plotting it.

The CPU 110 creates an array in which the data loss is corrected as described above by the following method. For example, “2017/1/1 10:10:15” and “2017/1/1 10:10:16” in FIG. The accumulated pulsation interval time until “2017/1/1１０10: 10: 14”, which is the time immediately before the location where the data is missing, is 14378 msec, and in “2017/1/1 10:10:14” The pulsation timing is 511 msec, and the time from the pulsation timing to “2017/1/1 10:10:15” of the next time is 489 msec. Next, since the missing portion is 2 seconds, 2000 msec elapses. Since the pulsation of “2017/1/1 10:10:17” occurs at 206 msec, the accumulated pulsation time of “10:10:17” can be obtained by 14378 + 1217 + 489 + 2000 + 206 = 18290.

That is, if the accumulated pulse time for the beat interval data that can be calculated next to the missing portion is X, α: the accumulated beat interval time before the loss, β: the beat interval before the loss, and Y: X is calculated by the following formula using the time from the pulsation timing before loss to the next second, Z: time seconds that cannot be calculated, and γ: time until pulsation timing that can be received after loss. be able to.
X = α + β + (1000-y) +1000 (z + 1) + γ

When spline interpolation is performed on the array thus created and plotted, a diagram as shown in FIG. 22 is obtained. As shown in FIG. 22, the plotting is based on the pulsation interval array created after the calculation is resumed. Thereby, the deviation of the graph after spline complementation when data is missing from the graph after spline complementation when data is not missing can be reduced. Plotting on the graph does not necessarily mean that the graph is actually created, but means creating a two-dimensional array that can be plotted on various calculations and graphs.

For reference, when time information indicating the beat interval is sequentially sent from the signal acquisition device 500, if the transmission of data for any given period fails, the communication terminal 300, for example, In step S104 of FIG. 6, step S104 of FIG. 14, and step S104 of FIG. 16, the CPU 310 cancels the beat interval even if the beat interval related during the predetermined period is invalidated as shown in FIG. I don't know the exact time to resume plotting. If the next pulsation interval is plotted as it is without leaving a predetermined period, as shown in FIG. 24, the graph after spline interpolation when data is missing, after spline interpolation when data is not missing The gap will be larger.
<Second Embodiment>

In the network system 1 according to the above embodiment, as shown in FIG. 5, the signal acquisition device 500 has a time in seconds (hereinafter referred to as “second time”) possessed by a processor in the predetermined time period for each predetermined time period. , Which is referred to as “reference time”) and a detailed elapsed time from the reference time in the predetermined time zone for each pulsation timing included in the predetermined time zone via the communication interface 300 was sent.

However, in the present embodiment, as shown in FIG. 25, the CPU 510 of the signal acquisition device 500 has a time stamp indicating a reference of the predetermined time zone and a predetermined time zone for each predetermined time zone. The detailed current time for each included pulsation timing is transmitted to the communication terminal 300 via the communication interface.

Also in this case, the CPU 310 of the communication terminal 300, for example, in step S104 in FIG. 6, step S104 in FIG. 14, or step S104 in FIG. 16, beats related during the predetermined period as shown in FIG. The motion interval is invalidated, and the calculation of the beat interval is restarted from the beat timing after the predetermined period. Then, as shown in FIG. 22, the CPU 110 plots the pulsation interval after the restart of the calculation on various graphs based on the time of the pulsation timing. Thereby, the deviation of the graph after spline complementation when data is missing from the graph after spline complementation when data is not missing can be reduced.

Note that the CPU 510 of the signal acquisition device 500 transmits a reference time at which the current measurement is started at the start of measurement, for example, 2017/1/1 10:10:00 in FIG. Each time a time stamp indicating the predetermined time zone and an elapsed time from the reference time at which the current measurement is started for each pulsation timing included in the predetermined time zone are communicated via a communication interface. You may transmit to 300.

Alternatively, the CPU 510 of the signal acquisition device 500 transmits the reference time at which the current measurement is started at the start of measurement, 2017/1/1 10:10:00 in FIG. 25, to the communication terminal 300, and for each pulsation timing. The elapsed time from the reference time when the current measurement is started may be transmitted to the communication terminal 300 via the communication interface.
<Third Embodiment>

Alternatively, as shown in FIG. 26, the CPU 510, for each predetermined time zone, a time stamp indicating the reference time of the predetermined time zone and a predetermined time for each pulsation timing included in the predetermined time zone. The detailed elapsed time from the reference time of the band, the time stamp indicating the reference time of the previous predetermined time period, and the previous one for each pulsation timing included in the previous predetermined time period A detailed elapsed time (first predetermined period) from the reference time of the predetermined time zone, a time stamp indicating the reference time of the two previous predetermined time zones, and a predetermined time zone two previous times The detailed elapsed time from the reference time in the two previous predetermined time zones for each included pulsation timing may be transmitted to the communication terminal 300 via the communication interface. Furthermore, when transmitting the detailed elapsed time from the reference time of a plurality of predetermined time zones, the information may be transmitted at a predetermined time interval (second predetermined period) shorter than the predetermined time zone. . As a result, even when the data of the retroactive time is transmitted together, it is possible to continue receiving the pulsation timing at a predetermined time interval.

In this case, the CPU 310 of the communication terminal 300 determines, for example, the pulsation timing in the time zone in which data is lost in step S104 in FIG. 6, step S104 in FIG. 14, or step S104 in FIG. When receiving the data, it can be acquired retrospectively.
<Fourth embodiment>

In the network system 1 according to the above embodiment, as shown in FIG. 5, the signal acquisition device 500 includes a time stamp indicating the predetermined time period and a predetermined time period for each predetermined time period. The detailed elapsed time from the start time of a predetermined time zone for each included pulsation timing is transmitted to the communication terminal 300 via the communication interface.

However, as shown in FIG. 27, the CPU 510 of the signal acquisition device 500 may realize a pulsation interval acquisition unit 512B instead of the pulsation timing acquisition unit 512. More specifically, the pulsation interval obtaining unit 512B detects an electrocardiographic peak signal (R wave) by a method such as threshold detection, and calculates the interval (time) of each electrocardiographic peak. In addition to the above, the pulsation interval may be calculated by derivation of a period using an autocorrelation function or a method using a rectangular wave correlation trigger.

In the present embodiment, the pulsation interval obtaining unit 512B continuously calculates the pulsation interval for the electrocardiogram signals that are continuously input (step S008B in FIG. 28). The pulsation interval acquisition unit 512B transmits the calculated pulsation interval and pulsation data itself to the communication terminal 300 via the transmission unit 560.

And as shown in FIG. 29, CPU310 of the communication terminal 300 performs the following processes, for example by executing the program of the memory 320. FIG. That is, the CPU 310 receives information indicating the beat interval from the signal acquisition device 500 via the communication interface 360 (step S202). Then, the CPU 310 sequentially accumulates pulsation intervals as a pulsation interval table in the memory 320 (step S204).

In the present embodiment, when transmission data from the signal acquisition device 500 is missing, the CPU 310 of the communication terminal 300, for example, step S104 in FIG. 6, step S104 in FIG. 14, or step S104 in FIG. In, the beat interval related during the predetermined period is invalidated, and the beat interval after the predetermined period is used. For example, the CPU 510 resumes plotting the pulsation intervals on various graphs after the same time period as a predetermined time period for transmitting the pulsation timings collectively. Thereby, the deviation of the graph after spline complementation when data is missing from the graph after spline complementation when data is not missing can be reduced.
<Fifth embodiment>

In the network system 1 according to the above embodiment, the signal acquisition device 500 acquires the pulsation timing and the pulsation interval based on the electrocardiogram signals from the

electrodes

401, 402, and 403, and the communication terminal 300 determines from the pulsation interval. Information for judging the state of the animal or information on the result of judging the state of the animal is calculated and output. However, all or some of the roles of the one device may be played by another device or may be shared by a plurality of devices. Conversely, one device may play the role of all or part of the plurality of devices, or another device may play the role.

For example, as shown in FIG. 30, the server 100 may play the role of the communication terminal 300. In this case, the server 100 is equipped with the function of the communication terminal 300 of the above embodiment. For example, the communication terminal 300 transmits necessary information such as a beat timing and a beat interval from the signal acquisition device 500 to the server 100 via a router, a carrier network, the Internet, or the like. The server 100 calculates information for determining the animal state or information indicating the determination result of the animal state, and transmits the information to the communication terminal 300. It is conceivable that the communication terminal 300 outputs the final result information to a display or a speaker.

In this case, as a matter of course, the reception unit 161 and the transmission unit 162 of the server 100 are realized by the communication interface 160 of the server 100. The pulsation interval acquisition unit 121 and the data storage unit 122 are realized by the memory 120 of the server 100 or other devices accessible from the server 100. The statistical processing unit 111, the graph creation unit 112, and the result output unit 113 are realized by the CPU 110 executing the program in the memory 120.

Alternatively, as shown in FIG. 31, the signal acquisition device 500 transmits necessary information such as pulsation timing and pulsation interval to the server 100 via a router, a carrier network, the Internet, or the like. The server 100 calculates information for determining the state of the animal or information on the determination result of the state of the animal, and transmits the information to the communication terminal 300 via the Internet, a carrier network, a router, or the like. The communication terminal 300 outputs the final result information to a display or a speaker. In this case, the signal acquisition device 500 and the communication terminal 300 may not be connected by a wireless LAN or a wired LAN.

In this case, as a matter of course, the reception unit 161 and the transmission unit 162 of the server 100 are realized by the communication interface 160 of the server 100. The pulsation interval acquisition unit 121 and the data storage unit 122 are realized by the memory 120 of the server 100 or other devices accessible from the server 100. The statistical processing unit 111, the graph creation unit 112, and the result output unit 113 are realized by the CPU 110 executing the program in the memory 120.
<Other application examples>

Needless to say, the present disclosure can also be applied to a case where the present disclosure is achieved by supplying a program to a system or apparatus. Then, a storage medium (or memory) storing a program represented by software for achieving the present disclosure is supplied to the system or apparatus, and the computer (or CPU or MPU) of the system or apparatus stores it in the storage medium. The effect of the present disclosure can also be enjoyed by reading and executing the program code.

In this case, the program code itself read from the storage medium realizes the functions of the above-described embodiments, and the storage medium storing the program code constitutes the present disclosure.

Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also an OS (operating system) running on the computer based on the instruction of the program code However, it is needless to say that a case where the function of the above-described embodiment is realized by performing part or all of the actual processing and the processing is included.

Furthermore, after the program code read from the storage medium is written to another storage medium provided in the function expansion board inserted into the computer or the function expansion unit connected to the computer, based on the instruction of the program code, It goes without saying that the CPU of the function expansion board or function expansion unit performs part or all of the actual processing and the functions of the above-described embodiments are realized by the processing.

The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present disclosure is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

1: Network system 100: Server 110: CPU
111: Statistical processing unit 112: Graph creation unit 113: Result output unit 120: Memory 121: Beat interval acquisition unit 122: Data storage unit 160: Communication interface 161: Reception unit 162: Transmission unit 300: Communication terminal 310: CPU
311: Analysis unit 312: Graph creation unit 313: Result output unit 320: Memory 321: Beat interval acquisition unit 322: Data storage unit 330: Display 360: Communication interface 361: Reception unit 362: Transmission unit 370: Speaker 401: Electrode 402: Electrode 403: Electrode 500: Signal acquisition device 510: CPU
511: ECG pre-processing unit 512: Pulsation timing acquisition unit 512B: Pulsation interval acquisition unit 560: Transmission unit

Claims

A communication interface;
Electrodes,
A state acquisition apparatus comprising: a first processor that measures a pulsation timing of a living body based on a signal from the electrode and transmits information indicating the pulsation timing via the communication interface.
The first processor transmits a reference time of a predetermined period and an elapsed time from the reference time for each pulsation timing within the predetermined period via the communication interface. The state acquisition device described.
The state acquisition device according to claim 1, wherein the first processor transmits a time at each pulsation timing within a predetermined period via the communication interface.
The state acquisition device according to claim 1, wherein the first processor transmits an elapsed time from a reference time for each pulsation timing within a predetermined period via the communication interface.
The state acquisition according to any one of claims 1 to 4, wherein the first processor transmits a plurality of pieces of information indicating each of a plurality of pulsation timings through the communication interface by overlapping a plurality of times. apparatus.
The first processor receives a plurality of pieces of information indicating a plurality of pulsation timings within a first predetermined period for each second predetermined period shorter than the first predetermined period via the communication interface. The state acquisition device according to claim 5, which transmits.
A communication interface for communicating;
The 2nd processor which receives the pulsation timing and pulsation interval which were transmitted to the state acquisition device of any one of Claim 1 to 6 via the said communication interface, and produces the arrangement | sequence regarding the said pulsation interval A state processing apparatus.
The said 2nd processor creates the arrangement | sequence regarding the said pulsation interval, leaving | separating the said part for a predetermined time, when there exists the location where the information which shows these several pulsation timings is missing. State processing device.
9. The array according to claim 8, wherein the second processor creates an array related to a beat interval by spacing the positions for a predetermined time based on information indicating the plurality of beat timings immediately before and after the places. State processing device.
The second processor calculates the predetermined time based on information indicating a pulsation timing immediately before the location, an elapsed time of the location, and information indicating a pulsation timing immediately after the location. The state processing device according to claim 8 or 9.
The state acquisition device according to any one of claims 1 to 6,
A state processing device according to any one of claims 7 to 10,
A network system comprising: communication means for performing transmission / reception between the state acquisition device and the state processing device.