WO2019198691A1 - Dispositif de traitement d'informations et terminal portatif - Google Patents

Dispositif de traitement d'informations et terminal portatif Download PDF

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Publication number
WO2019198691A1
WO2019198691A1 PCT/JP2019/015391 JP2019015391W WO2019198691A1 WO 2019198691 A1 WO2019198691 A1 WO 2019198691A1 JP 2019015391 W JP2019015391 W JP 2019015391W WO 2019198691 A1 WO2019198691 A1 WO 2019198691A1
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Prior art keywords
period
result
information processing
graph
processing apparatus
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PCT/JP2019/015391
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English (en)
Japanese (ja)
Inventor
あずさ 中野
林　哲也
洋 昌谷
啓司 武田
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シャープ株式会社
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Priority to JP2020513271A priority Critical patent/JPWO2019198691A1/ja
Publication of WO2019198691A1 publication Critical patent/WO2019198691A1/fr

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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00—Other apparatus for animal husbandry
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval

Definitions

  • the following disclosure relates to a technique for acquiring the mental state or physical state of an animal.
  • Patent Document 1 JP 2010-155166 A discloses a pulse wave diagnostic device and a pulse wave diagnostic device control method. According to Patent Document 1, the pulse wave diagnostic device and the pulse wave diagnostic device control method detect a pulse wave using a photoelectric sensor, and calculate a fluctuation of the pulse wave from the detected pulse wave.
  • the pulse wave diagnostic device control method includes a photoelectric pulse wave detector that receives transmitted light transmitted through an artery or scattered light scattered by an artery and detects a pulse wave, and the photoelectric pulse The pulse wave amplitude for each beat of the pulse wave detected by the wave detection unit is calculated, and the point of the pulse wave amplitude on the orthogonal coordinate plane formed by the two pulse wave amplitudes calculated successively is calculated. And a pulse wave amplitude Poincare calculation unit that calculates Poincare coordinates for each beat.
  • An object of the present disclosure is to provide an information processing apparatus, a state acquisition program, a server, and an information processing apparatus that can accurately grasp the mental state or physical state of an animal more accurately than in the past or more efficiently than in the past. It is to provide an information processing method.
  • a second electrode including a plurality of electrodes, a dispersion or standard deviation of the potential difference in the first period, which is obtained via the plurality of electrodes, and a second period including the period before the first period.
  • an information processing apparatus including a processor having a first determination unit that determines whether a predetermined condition is satisfied based on a variance or standard deviation of a potential difference of a period.
  • an information processing apparatus capable of grasping an animal's mental state or physical state more accurately than before or grasping more efficiently than before, and state acquisition A program, a server, and an information processing method are provided.
  • Correspondence relationship table 321A between pulsation interval RR (n) and the next pulsation interval RR (n + 1) according to the first embodiment from the Y X direction and the axis in the direction perpendicular thereto. It is an image figure which shows conversion.
  • 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 information processing system 1 concerning 1st Embodiment. It is an example of the relationship between the pulsation detection timing concerning 1st Embodiment, and a pulsation interval. It is an example of the power spectrum distribution concerning 1st Embodiment.
  • R relating to the determination according to the eighth embodiment is a flowchart showing a processing procedure for determining whether or not the amplitude is too large. It is a flowchart which shows the flat determination regarding the determination concerning 8th Embodiment, and the process sequence which judges whether the amplitude of R wave is too large.
  • FIG. 1 is a diagram showing an overall configuration of an information processing system 1 according to the present embodiment.
  • FIG. 1 is a diagram showing an overall configuration of an information processing system 1 according to the present embodiment.
  • the case where the state of the dog which has a respiratory arrhythmia is judged on behalf of an animal is demonstrated.
  • An information processing system 1 mainly includes electrodes 401, 402, and 403 for acquiring electrocardiograms attached to a chest of a dog, a signal processing device 500 for processing an electrocardiogram signal, and signal processing. Diagnostic terminal 300 that can communicate with apparatus 500 is included.
  • 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.
  • the hair balls such as the paws of both front legs (or front legs and rear legs) are grown. There may be no place.
  • 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 with hair is desirable. Thereby, even an animal whose epidermis such as a dog is covered with hair can obtain an electrocardiogram.
  • three electrodes 401, 402, and 403 are used. However, the number of electrodes may be two or more, and more electrodes may be used.
  • FIG. 2 is a diagram illustrating a functional configuration of the information processing system 1 according to the present embodiment.
  • FIG. 3 is a flowchart showing a processing procedure of the information processing system 1 according to the present embodiment.
  • the signal processing device 500 includes an electrocardiogram preprocessing unit 511, a pulsation interval calculation unit 512, and a transmission unit 560.
  • the electrocardiogram preprocessing unit 511 includes a filter and an amplifier.
  • the electrocardiogram pre-processing unit 511 converts the electrocardiogram signal sent from the electrodes 401, 402, and 403 into pulsation data, and delivers it to the pulsation interval calculation unit 512.
  • 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.
  • the filter device, the amplification device, and the like may be implemented by software.
  • the beat interval calculation unit 512 is realized by, for example, a CPU (Central Processing Unit) 510 executing a memory program.
  • the pulsation interval calculation unit 512 sequentially calculates pulsation intervals based on the pulsation data. More specifically, the pulsation interval calculation unit 512 detects an electrocardiographic peak signal (R wave) by a method such as threshold detection, and calculates the interval (time) of each electrocardiographic peak.
  • the pulsation interval may be calculated by derivation of a period using an autocorrelation function or a method using a rectangular wave correlation trigger.
  • the pulsation interval calculation unit 512 continuously calculates the pulsation interval for the electrocardiogram signals that are continuously input.
  • the pulsation interval calculation unit 512 transmits the calculated pulsation interval and pulsation data itself to the diagnosis terminal 300 via the transmission unit 560.
  • the transmission unit 560 is realized by a communication interface including an antenna, a connector, and the like, for example.
  • the diagnostic terminal 300 includes a reception unit 361, a beat interval storage unit 321, a statistical processing 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. .
  • 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 beat interval from the signal processing device 500 (step S102).
  • the pulsation interval storage unit 321 includes various types of memory 320 and stores data received from the signal processing device 500.
  • CPU 310 sequentially accumulates beat intervals received via communication interface 360 as a beat interval table in memory 320 (step S104).
  • these data may be stored in the memory 320 of the diagnostic terminal 300 or may be stored in another device accessible from the diagnostic terminal 300.
  • the statistical processing 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 statistical processing unit 311 reads out the beat interval data from the beat interval storage unit 321 in a unit of time necessary for determining the state, for example, 1 minute, 10 minutes, 1 hour, etc.
  • a correspondence table 321A between the pulsation interval RR (n) and the next pulsation interval RR (n + 1) is created (step S106).
  • the beat interval is calculated in units of msec (millisec) as shown in the figure.
  • the statistical processing unit 311 may specify an axis that maximizes the variance by a method such as principal component analysis, and may calculate a standard deviation regarding the axis and an axis perpendicular to the axis. Furthermore, the statistical processing unit 311 may calculate a standard deviation regarding the X axis and the Y axis without performing axis conversion.
  • 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 degree of variation in the pulsation interval is regarded as the degree of autonomic nerve balance.
  • the numerical value indicating the autonomic balance is not limited to the standard deviation after the axis conversion.
  • the CPU 310 performs the calculation shown in FIG. 3 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.
  • the information processing system 1 concerning this Embodiment may be the form containing the server 100 with which the diagnostic terminal 300 can communicate as shown in FIG.
  • the CPU 310 as the result output unit 313 accumulates the standard deviation and the relation table in the data storage unit 322 or uses the transmission unit 362 to transmit to the server 100 via the Internet or the like.
  • the current output result can be used for grasping the short-term or long-term stress state of the observation target.
  • the graph creation unit 312 determines from the correspondence table in FIG. 5 the pulsation interval RR (n) in the range used for calculating the standard deviation and the next beat. Data with the movement interval RR (n + 1) is acquired, and Poincare plot diagrams as shown in FIGS. 8 to 11 are created.
  • the result output unit 313 displays the generated Poincare plot on an output device such as a display of the diagnostic terminal 300 or an external display.
  • the graph creation unit 312 may create and output a Poincare plot diagram after axis conversion using the result of step S108.
  • FIG. 8 is a Poincare plot in the excited state of the dog according to the present embodiment.
  • FIG. 9 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. 10 is a Poincare plot in the normal state of the dog according to the present embodiment.
  • FIG. 11 is a Poincare plot in the resting state of the dog according to 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.
  • the mental state or physical state of the animal can be predicted.
  • the statistical processing unit 311 calculates the degree of variation of the Poincare plot, that is, the standard deviation of the pulsation interval, as a numerical value indicating the autonomic nerve balance.
  • the variation degree refers to, for example, an index for quantifying the variation degree, represented by a dispersion value or a standard deviation.
  • the product of the two standard deviations may be calculated as a numerical value indicating the autonomic balance.
  • FIG. 12 is a flowchart showing a processing procedure of the information processing system 1 according to the present embodiment. Steps S102 to S108 are the same as those in FIG. 3, and therefore description thereof will not be repeated here.
  • the CPU 310 as the statistical processing unit 311 calculates the standard deviation for each axis after the axis conversion (step S110). Note that the statistical processing 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.
  • the statistical processing unit 311 calculates the product of these two standard deviations, the square root of the product, and the like as a numerical value indicating the autonomic balance (step S112).
  • surface which shows the standard of the square root of etc. and the ratio of standard deviation.
  • the result output unit 313 accumulates the standard deviation, the product of the standard deviation, the square root of the product, the correspondence table, and the like in the data storage unit 322, or uses the transmission unit 362 via the Internet or the like. 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 statistical processing unit 311 calculates a product of standard deviations of two axes, a square root of the product, etc., but calculates a product of standard deviations of three or more axes or a power root thereof. Good.
  • 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 diagnostic terminal 300 may calculate the respiratory rate of the target animal in addition to the information indicating the autonomic nerve balance of the target animal.
  • CPU 310 of diagnostic terminal 300 executes the following process, for example, by executing a program in memory 320.
  • the CPU 310 obtains a beat interval as shown in FIG. 4 (step S204). As shown in FIG. 15, the CPU 310 mathematically interpolates (for example, spline interpolation) the relationship between the beat detection time for one minute and the beat interval (step S206). More specifically, the CPU 310 detects an electrocardiographic peak signal (R wave) by a method such as threshold detection, and calculates an 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.
  • R wave electrocardiographic peak signal
  • the pulsation interval may be calculated by derivation of a period using an autocorrelation function or a method using a rectangular wave correlation trigger.
  • the CPU 310 performs frequency analysis of the obtained function as shown in FIG. 16 (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. 16 obtained by the frequency analysis (step S210). ).
  • the CPU 310 determines that the state is “measurable”.
  • 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. 17B, 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”.
  • the RRI fluctuation after spline interpolation of 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. 18B, 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.
  • the CPU 310 determines that the measurement is impossible, the CPU 310 repeats the processing from step S106 based on the beat interval that the signal processing device 500 has already acquired for another timing.
  • the 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.
  • an arbitrary frequency range for example, a range of 0.05 to 0.5 Hz
  • the CPU 310 displays the respiration rate per unit time and outputs sound through 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. 14 every 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.
  • the CPU 310 calculates the respiration rate by calculating the reciprocal of the frequency with the maximum peak frequency in the frequency analysis as the respiration frequency.
  • FIG. 19 shows the results of 60-minute respiration rate measurement.
  • the measurement result can be output every minute as shown in FIG. 19A, but the measurement result in various states is included and it is difficult to ensure the accuracy.
  • the respiration rate as shown in FIG. 19B, and obtain only the respiration rate in an appropriate state. be able to.
  • the state of the measurement subject is determined by analyzing the measurement data (for example, an electrocardiogram signal), and vital data (for example, the respiratory rate derived from the electrocardiogram signal) is calculated based on the determination result of the state. , Can be recorded.
  • the measurement data for example, an electrocardiogram signal
  • vital data for example, the respiratory rate derived from the electrocardiogram signal
  • Can be recorded as a means for determining the state, it is determined whether or not an appropriate state has been maintained for a certain time (for example, 1 minute) during measurement.
  • the determination criterion of “whether or not an appropriate state has been maintained” is defined from the fluctuation cycle due to respiration using, for example, heart rate variability analysis.
  • An animal such as a dog has a change in heart rate and respiration rate even when no movement is observed, and this discrimination criterion can discriminate an appropriate state with higher accuracy than analysis of movement using an acceleration sensor or the like. Further, by performing both state determination and vital data detection from a single measurement data such as an electrocardiogram signal, the measurement apparatus can be made small and simple. By reducing the size of the apparatus and system, it is possible to reduce the stress and load on the measurer and to perform measurement in a more natural state.
  • step S110 of FIG. 14 the CPU 310 searches for the maximum peak of the power spectrum in an arbitrary frequency range (for example, between 0.05 Hz and 0.5 Hz) in the power spectrum distribution obtained by the frequency analysis.
  • an arbitrary frequency range for example, between 0.05 Hz and 0.5 Hz
  • the respiratory rate is measurable. More specifically, if it can be determined whether or not the maximum peak in an arbitrary frequency range (for example, between 0.05 and 0.5 Hz) is prominent in the power spectrum distribution as compared with other power spectra.
  • the CPU 310 may determine the “measurable state” by another method.
  • the CPU 310 determines that the target animal is in a resting state when the standard deviation, the product of the standard deviation, its square root, or the like is larger than a predetermined value. It may be judged (steps S302 to 312). Then, when it is determined as “measurable state”, the CPU 310 may calculate the number of maximum (or minimum) points in the time series change of the pulsation interval as the respiration rate, as shown in FIG. The CPU 310 performs the calculation shown in FIG. 20 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. ⁇ Result output method>
  • the CPU 310 of the diagnostic terminal 300 displays various graphs on the display 330 based on the signal as shown in FIG.
  • the CPU 310 shows, for each individual, a first graph in which the pulsation interval is spline-interpolated, a second graph showing the ECG peak signal itself, and a Poincare plot of the pulsation interval.
  • a third graph of interpolation, a fourth graph obtained by frequency analysis of the first graph, and the like are displayed on the display 330.
  • FIG. 22 shows (a) a first graph in which the beat interval is spline-interpolated, (b) a second graph showing the electrocardiographic peak signal itself, and (c) regarding an individual in a normally relaxed state.
  • FIG. 5 shows a third interpolated graph showing a Poincare plot of pulsation intervals, and (d) a fourth graph obtained by frequency analysis of the first graph.
  • FIG. 23 shows (a) a first graph showing a signal itself when an electrocardiographic peak signal cannot be acquired correctly, (b) a second graph showing a Poincare plot of a beat interval, and (c 3) A third graph in which the pulsation intervals are spline-interpolated, and (d) a fourth graph in which the third graph is frequency-analyzed.
  • the second graph showing the electrocardiographic peak signal itself at the lower right is marked as “not adopted” in the time zone when it was not correctly acquired.
  • the “non-adopted” period refers to a period in which it is determined that the R wave cannot be detected correctly or is likely not to be detected correctly. An example of the determination method will be described later.
  • the 2nd graph of this embodiment may show transition of the environmental data of the environment which is measuring the pulsation or pulse of the animal individual for every animal individual or every timing instead of the graph which shows the ECG peak signal itself. good.
  • the environmental data may be, for example, changes in temperature, humidity, noise, and the like.
  • the CPU 310 can select a mode in which any kind of graph relating to each of a plurality of individuals is arranged and displayed on the display 330.
  • CPU 310 makes the display mode of the graph related to the measurement determined to be highly likely to be different from the display mode of the graph related to the measurement determined to be normal.
  • the CPU 310 displays the second graph of a plurality of individuals side by side on the display 330 and displays the original first graph together with the second graph for the measurement determined to be abnormal. It is.
  • the second graph and the first graph may be displayed simultaneously for a predetermined period.
  • the first graph may be displayed after a while after the second graph is displayed. If the first graph and the second graph are simultaneously displayed for a predetermined period, the first graph is displayed. Either the second graph or the second graph may not be displayed on the display first.
  • the horizontal axes of the first graph and the second graph both indicate the measurement time. It is preferable that the measurement interval, length, and scale on the horizontal axis of the first graph and the second graph are aligned. Furthermore, the horizontal axis of the first graph and the horizontal axis of the second graph are preferably arranged in parallel to each other. By aligning the horizontal axes of the first graph and the second graph, it is easy to confirm the correspondence between the data included in both graphs when visually comparing the two graphs.
  • the original first graph together with the second graph is displayed smaller than the graph related to the measurement determined to be normal so that the position where the graph related to the measurement determined to be normal is not changed.
  • FIG. 25 is a flowchart for determining whether or not the obtained electrocardiographic data is sufficient to detect the R wave, that is, whether or not the R wave cannot be detected correctly or is likely not to be detected correctly. is there.
  • the determination is divided into two stages.
  • the first stage is a stage for determining whether or not the amplitude of the R wave is sufficient
  • the second stage is a stage for determining depending on whether or not there is more noise than or equal to the R wave.
  • the first stage is referred to as flat determination (second determination means, step S410)
  • the second stage is referred to as multi-noise determination (first determination means).
  • the CPU 310 obtains an average Et_ave of Et as a flat determination (step S412), and obtains a difference from the maximum value Em of Et (step S414). If the difference exceeds a predetermined threshold value Jflat (for example, 30), the CPU 310 sets the flat determination result to FALSE (step S416), and sets the difference to TRUE (step S416).
  • a predetermined threshold value Jflat for example, 30
  • the CPU 310 determines that this area Et cannot be employ
  • the threshold value Jflat may be changed according to the size of the dog breed or the contact resistance of the skin, or may be changed according to the ambient temperature and humidity.
  • the CPU 310 obtains dispersion values Dt and Dref for Et and Eref, respectively (step S434).
  • Dt exceeds Dref
  • the CPU 310 determines that this section Et is not adopted because there is too much noise (first result, step S446).
  • Dt is lower than Dref
  • the CPU 310 determines that Et can be adopted (second result, step S442).
  • the t seconds and ref seconds may be changed according to the size of the dog breed and the contact resistance of the skin, or may be changed depending on the ambient temperature and humidity. Moreover, you may change according to the activeness of the dog under measurement. For example, the activity can be measured by an acceleration sensor or the like.
  • each maximum value is determined depending on whether or not a predetermined threshold EMAX (for example, 150) is exceeded when Et and Eref are acquired. Normalization (step S422, step S424, step S430, step S432).
  • This predetermined threshold EMAX is desirably adjusted according to the resolution of the voltage value to be detected.
  • the numerical value indicating the autonomic balance is not limited to the product of the standard deviation or standard deviation of the Poincare plot, but the average of the distances between two consecutive Poincare plots can be used, and other Poincare blot variations The numerical value shown may be used, or another calculation method other than the Poincare plot may be used.
  • the pulsation interval is calculated using the electrodes 401, 402, and 403 for acquiring electrocardiograms.
  • a pulse wave signal may be acquired by a photoelectric pulse wave type pulse wave meter or a pulse oximeter, and a pulsation interval may be calculated from the pulse wave signal.
  • the pulse wave measurement site is preferably the site where the skin, including the tongue and ears, is exposed.
  • a heart sound signal may be acquired by an electronic stethoscope or the like, and the heart sound signal or the beat interval may be calculated. In these cases, measurement can be performed by a method that does not use an electrode.
  • a pulse wave signal may be acquired using a pulse wave acquisition sensor such as a microwave Doppler sensor, and the pulsation interval may be calculated from the pulse wave signal.
  • a microwave transmission device is installed on the ceiling or the like, and a form of acquiring a pulse wave from an animal such as a dog without contact is conceivable. In this case, non-contact measurement is possible and there is an effect of further reducing the load on the subject.
  • the output method of the result is not limited to that of the above embodiment.
  • the CPU 310 of the diagnostic terminal 300 acquires the average Et_ave of Et as the flat determination shown in FIG. 26 (step S412), and obtains the difference from the maximum value Em of Et (step S414). Then, the CPU 310 may not arrange the graph itself on the display 330 when the difference does not exceed the second predetermined threshold value Jflat (for example, 15).
  • step S446 in FIG. 25 if Dt exceeds a predetermined value (for example, twice) of Dref, the CPU 310 may not arrange this graph on the display 330 because there is too much noise. Good.
  • a predetermined value for example, twice
  • the CPU 310 determines that there is an abnormal range in the graph when a part or all of the graph satisfies a predetermined condition by the second determination unit.
  • the graph 330 is displayed on the display 330 with a display different from that of the graph. Then, when a part or all of the graph further satisfies a predetermined condition by the first determination means, the CPU 310 does not display the graph itself but instead displays the next graph on the display 330. To do.
  • a graph such as 80% or more that is highly likely to be abnormal is automatically excluded in advance, and a user such as a veterinarian may diagnose a graph that may be abnormal, such as 30% or more It becomes easier to judge whether or not to adopt or consider.
  • the CPU 310 receives a setting such as a numerical value of the possibility itself or other threshold value, which serves as an index for the determination, via an operation unit such as a button or a touch panel.
  • CPU 310 changes the display mode of the graph related to the measurement that is determined to be highly likely to be different from the display mode of the graph related to the measurement that is determined to be normal. For example, the CPU 310 causes the display 330 to display the second graphs of a plurality of individuals side by side, and regarding the measurement result determined to be not normal, it is determined to be not normal on the screen as shown in FIG. The original first graph may be superimposed on the second graph and displayed.
  • the CPU 310 preferably matches the vertical main range of the first graph and the vertical main range of the second graph to the same extent.
  • the CPU 310 may change the display mode of the graph related to the measurement that is determined to be highly likely to be different from the display mode of the graph related to the measurement that is determined to be normal. That is, the CPU 310 causes the display 330 to display the second graph of a plurality of individuals side by side, and displays a frame around the second graph for the measurement result determined to be not normal. Alternatively, the CPU 310 changes the line color of the second graph, changes the back color, or adds exclamation.
  • the CPU 310 displays the original graph together with the second graph regarding the measurement that is determined to be abnormal on the screen as shown in FIG.
  • the first graph is also displayed side by side.
  • CPU 310 displays an image or text for accepting an instruction to leave or exclude a graph related to the measurement on the screen. Then, the CPU 310 returns the display mode of the measurement graph to be the same as that of the normal graph according to the “remaining command” input through the operation unit, or “input through the operation unit”. In response to the “exclusion command”, the graph of the target measurement is removed from the screen, and the next graph of another measurement is displayed in front.
  • the CPU 310 displays the first graph together with the second graph while displaying the original first graph side by side.
  • a portion of the graph that is determined to be highly likely to be abnormal may be displayed in a display mode different from the other portions.
  • the CPU 310 displays a frame line that surrounds a portion of the first and second graphs that is determined to have a high possibility of being abnormal.
  • the CPU 310 makes the back color of the area of the first and second graphs determined to be highly normal different from the other parts.
  • the CPU 310 displays three or more values related to the measurement determined to be abnormal on the screen. You may transition to a screen that displays a graph. Also in this case, the CPU 310 may display a portion of the first and second graphs that is determined to be highly likely to be abnormal in a display mode different from other portions.
  • the output method of the result is not limited to the method of displaying the graphs of a plurality of different individuals side by side as in the above embodiment.
  • the CPU 310 of the diagnostic terminal 300 may display a graph regarding each of a plurality of different timings related to a specified individual on the display 330.
  • the signal processing device 500 acquires the beat interval based on the electrocardiogram signals from the electrodes 401, 402, and 403, and the diagnosis terminal 300 determines the state of the animal from the beat interval.
  • the information for judging the above or the information on the judgment result of the animal state is calculated and output.
  • 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.
  • the diagnostic terminal 300 may be equipped with all or part of the functions of the signal processing device 500.
  • the diagnostic terminal 300 acquires the electrocardiogram signals from the electrodes 401, 402, and 403 from the simple signal processing device 501 by wireless communication.
  • An electrocardiogram signal from the electrode is converted into a digital signal by a simple electrocardiogram preprocessing unit 570 including a minimum filter device, amplification device, and A / D conversion device, and transmitted from the transmission unit 560.
  • the diagnosis terminal 300 calculates information for determining the interval between pulsations and the state of the animal or information on the determination result of the state of the animal from the electrocardiogram signal. Then, the diagnostic terminal 300 outputs the final result information to a display or a speaker.
  • the signal processing device 500 may be equipped with all or part of the functions of the diagnostic terminal 300. In this case, based on the electrocardiogram signals from the electrodes 401, 402, and 403, the signal processing device 500 calculates information for determining the pulsation interval and the state of the animal or information on the determination result of the state of the animal. Then, the signal processing device 500 outputs the final result information to a display or a speaker.
  • the server 100 may play the role of the diagnostic terminal 300.
  • the server 100 is equipped with the function of the diagnostic terminal 300 of the above embodiment.
  • a communication terminal as the diagnostic terminal 300 transmits necessary information such as a beat interval from the signal processing 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 diagnostic terminal 300. It is conceivable that the diagnostic terminal 300 outputs the final result information to a display or a speaker.
  • 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 beat interval storage unit 121 and the data storage unit 122 are realized by the memory 120 of the server 100 or another device 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.
  • the signal processing device 500 transmits necessary information such as a beat 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 a communication terminal as the diagnostic terminal 300 via the Internet, a carrier network, a router, or the like.
  • the diagnostic terminal 300 outputs information on the final result to a display or a speaker.
  • the signal processing device 500 and the diagnostic terminal 300 may not be connected by a wireless LAN or a wired LAN.
  • 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 beat interval storage unit 121 and the data storage unit 122 are realized by the memory 120 of the server 100 or another device 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.
  • the CPU of the apparatus 500 should not be limited to actually printing or displaying a Poincare plot image on a paper medium or a display.
  • the process is a concept including, for example, a process in which the CPU stores or expands data that substantially indicates a Poincare plot in a memory.
  • the display mode of the graph related to the measurement that is determined to be highly normal is different from the display mode of the graph related to the measurement that is determined to be normal.
  • it is not limited to such a form.
  • a determination is made according to whether or not the amplitude of the R wave is sufficient, or it is equal to or higher than the R wave. It may be determined (multiple noise determination) according to whether there is a lot of noise.
  • the CPU 310 determines that it is normal, it does not display an error on the display 330 as shown in FIG.
  • the CPU 310 may output a message that “the electrodes are disconnected” to the display 330 as illustrated in FIG.
  • the CPU 310 determines that it is not normal in the multi-noise determination, as shown in (c) of FIG. May be output ".
  • determination is made according to whether or not the amplitude of the R wave is sufficient (flat determination). Or making a determination (multiple noise determination) depending on whether there is more noise than the R wave.
  • the CPU 310 obtains an average Et_ave of Et (step S412), and obtains a difference from the maximum value Em of Et (step S414B). The CPU 310 determines whether or not this difference exceeds a predetermined threshold (for example, 200) (step S414B). If this difference exceeds a predetermined threshold, the determination result is TRUE (step S418B), and if not, FALSE is set (step S416B). If the determination is TRUE, the CPU 310 determines that this section Et cannot be adopted and causes the display 330 or the speaker to output that effect (step S418B).
  • a predetermined threshold for example, 200
  • the CPU 310 obtains an average Et_ave of Et as a flat determination (step S412), and obtains a difference from the maximum value Em of Et (step S414). If the difference does not exceed a predetermined threshold value Jflat (for example, 30), CPU 310 sets TRUE (step S418). If the CPU 310 determines that the flat determination is TRUE, the CPU 310 causes the display 330 or the speaker to output the fact that the section Et cannot be adopted (step S418). On the other hand, when the flat determination is FALSE, it is determined whether or not the difference between the maximum value Em of Et exceeds a predetermined threshold (for example, 200) (step S414B).
  • a predetermined threshold for example, 200
  • step S418B If this difference exceeds a predetermined threshold, the determination result is TRUE (step S418B), and if not, FALSE is set (step S416B). If the determination is TRUE, the CPU 310 determines that this section Et cannot be adopted and causes the display 330 or the speaker to output that effect (step S418B).
  • CPU 310 determines whether or not Dt exceeds 150% of Dref (step S436B). When Dt exceeds 150% of Dref, CPU 110 causes the display 330 and the speaker to output the fact that the section Et is not adopted because there is too much noise (step S446B). Conversely, if Dt is less than 150% of Dref, CPU 310 can adopt Et (step S442).
  • the CPU 310 may determine whether Dt is 70% or less of Dref (step S436C). When Dt is 70% or less of Dref, CPU 110 causes the display 330 and the speaker to output the fact that the section Et is not adopted because the voltage value is too low (step S446B). Conversely, when Dt exceeds 70% of Dref, the CPU 310 can adopt Et (step S442).
  • CPU 310 determines whether or not Dt exceeds 150% of Dref (step S436B). When Dt exceeds 150% of Dref, CPU 110 causes the display 330 and the speaker to output the fact that the section Et is not adopted because there is too much noise (step S446B). Conversely, if Dt is less than 150% of Dref, it is determined whether Dt is 70% or less of Dref (step S436C). When Dt is 70% or less of Dref, CPU 110 causes the display 330 and the speaker to output the fact that the section Et is not adopted because the voltage value is too low (step S446B). Conversely, when Dt exceeds 70% of Dref, the CPU 310 can adopt Et (step S442). ⁇ Tenth Embodiment>
  • all or a part 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.
  • the CPU 510 of the signal processing device 500 may execute the above various determinations. That is, the CPU 510 executes the processing of FIG. 25, FIG. 26, FIG. 39 to FIG. 44, and outputs the display as shown in FIG. 38 to the display 530 of the signal processing device 500 and the display 330 of the diagnostic terminal 300. Also good. Alternatively, when the CPU 510 determines that an error has occurred, the light 531 of the signal processing device 500 and the light 331 of the diagnostic terminal 300 shine red, or when it is determined to be normal, the light 531 of the signal processing device 500 and the diagnostic terminal 300 The light 331 may be lit in green.
  • the CPU 510 may cause the speaker 532 of the signal processing device 500 or the speaker 332 of the diagnostic terminal 300 to output the determination result.
  • the signal processing device 500 is a wearable terminal for wearing on an animal such as a dog, and determines whether data can be normally acquired in the wearable terminal.
  • the display 530, the light 531 and the speaker 532 of the wearable terminal may output error information and the like.
  • the signal processing device 500 is provided in an appliance (for example, a wear, a harness, etc.) for wearing on an animal such as a dog.
  • the signal processing device 500 may be configured to be detachable with respect to the appliance by hooks, buttons, cables, or the like.
  • the signal processing device 500 is electrically connected to the electrodes 401, 402, and 403 via hooks, buttons, and cables. Connect.
  • the signal processing device 500 is electrically insulated from the electrodes 401, 402, and 403 by detaching from the equipment connected by hooks, buttons, and cables.
  • the electrodes 401, 402, 403 can also be configured to be removable from the appliance.
  • the electrodes 401, 402, and 403 are attached to the appliance by means of hook-and-loop fasteners, buttons, hooks, and the like, and the signal processing device 500 is also connected to the appliance so that it can be configured as a wearable terminal as a whole. It becomes.
  • FIG. 48 shows an example in which the reference periods are different in flat determination and noise determination.
  • E 48 is an example in which the periods used for evaluation in S410 and S436 in FIG. 25 are different.
  • electrocardiogram data Es third period
  • Em in Es is acquired (S404B).
  • Es is used instead of Et, and in the same drawing, Et can be read as Es, so that periods used in both determination processes can be made different.
  • 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.
  • 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.
  • Information processing system 100 Server 110: CPU 111: statistical processing unit 112: graph creation unit 113: result output unit 120: memory 121: pulsation interval storage unit 122: data storage unit 160: communication interface 161: reception unit 162: transmission unit 300: diagnostic terminal (information processing apparatus) ) 310: CPU 311: Statistical processing unit 312: Graph creation unit 313: Result output unit 320: Memory 321: Beat interval storage unit 321A: Correspondence table 322: Data storage unit 330: Display 331: Light 332: Speaker 360: Communication interface 361: Receiver 362: Transmitter 370: Speaker 401: Electrode 402: Electrode 403: Electrode 500: Signal processor 501: Simple signal processor 511: Electrocardiogram preprocessor 512: Pulsation interval calculator 530: Display 531: Light 532 : Speaker 560: Transmission unit 570: Simple electrocardiogram preprocessing unit

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Abstract

La présente invention concerne des dispositifs de traitement d'informations (500, 300) munis : d'une pluralité d'électrodes (401, 402, 403) ; et de processeurs (510, 310) pour émettre une erreur lorsqu'une condition prescrite est satisfaite sur la base du degré de fluctuation de différence potentielle dans une première période et du degré de fluctuation de différence potentielle dans une seconde période qui comprend une période avant la première période, les degrés étant acquis à travers la pluralité d'électrodes (401, 402, 403).
PCT/JP2019/015391 2018-04-11 2019-04-09 Dispositif de traitement d'informations et terminal portatif WO2019198691A1 (fr)

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JP2001000407A (ja) * 1999-06-21 2001-01-09 Shimadzu Corp 生体信号計測装置
WO2014208343A1 (fr) * 2013-06-26 2014-12-31 京都府公立大学法人 Procédé et appareil d'évaluation de profondeur d'anesthésie et leur utilisation
KR101649445B1 (ko) * 2015-03-17 2016-08-18 포항공과대학교 산학협력단 비접촉식 심전도 측정 시스템 및 이를 이용한 심전도 측정 방법
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