WO2023100347A1 - 指タッピング計測処理装置、方法及びコンピュータプログラム - Google Patents

指タッピング計測処理装置、方法及びコンピュータプログラム Download PDF

Info

Publication number
WO2023100347A1
WO2023100347A1 PCT/JP2021/044465 JP2021044465W WO2023100347A1 WO 2023100347 A1 WO2023100347 A1 WO 2023100347A1 JP 2021044465 W JP2021044465 W JP 2021044465W WO 2023100347 A1 WO2023100347 A1 WO 2023100347A1
Authority
WO
WIPO (PCT)
Prior art keywords
time
data
series data
display
tapping
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2021/044465
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
敬治 内田
寛彦 水口
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Maxell Ltd
Original Assignee
Maxell Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Maxell Ltd filed Critical Maxell Ltd
Priority to PCT/JP2021/044465 priority Critical patent/WO2023100347A1/ja
Priority to JP2023564694A priority patent/JP7675208B2/ja
Priority to CN202180104494.6A priority patent/CN118302113A/zh
Priority to US18/715,753 priority patent/US20250031997A1/en
Publication of WO2023100347A1 publication Critical patent/WO2023100347A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1101—Detecting tremor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6825—Hand
    • A61B5/6826—Finger
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/742—Details of notification to user or communication with user or patient; User input means using visual displays
    • A61B5/7425—Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
    • G01D5/12—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using electric or magnetic means
    • G01D5/14—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using electric or magnetic means influencing the magnitude of a current or voltage
    • G01D5/20—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using electric or magnetic means influencing the magnitude of a current or voltage by varying inductance, e.g. by a movable armature
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—Two-dimensional [2D] image generation
    • G06T11/20—Drawing from basic elements
    • G06T11/26—Drawing of charts or graphs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0223—Magnetic field sensors

Definitions

  • the present invention relates to a finger tapping measurement processing device, method, and computer program for measuring finger tapping movements and processing the measurement results.
  • the fatigue level of the fingers during the exercise is used to evaluate the progress of disabilities including dementia and the degree of recovery of motor function. It can be an important indicator of However, conventionally, the finger tapping motion In some cases, an examiner such as a doctor visually confirms the number of finger opening and closing movements and the degree of finger opening. In such cases, the degree of finger fatigue is quantitatively evaluated. Can not do it.
  • the present invention has been made in view of the above circumstances, and aims to provide a finger tapping measurement processing device, method, and computer program that can quantitatively evaluate the degree of finger fatigue in finger tapping exercise.
  • the finger tapping measurement processing apparatus of the present invention includes a measurement unit having a tapping sensor that magnetically detects finger tapping movements, which are opening and closing movements of two fingers, and measurement data measured by the measurement unit.
  • the processor includes a feature amount extraction circuit for extracting, as quantitative data, a feature amount related to the degree of finger fatigue from the detection information detected by the tapping sensor, and the feature amount extraction and a time-series data generating circuit for generating time-series data of the feature quantity extracted by the circuit.
  • the feature amount related to the finger fatigue level is extracted as quantitative data from the detection information detected by the tapping sensor, and the time-series data thereof is generated. It becomes possible to quantitatively and clearly grasp the degree of fatigue of a subject (a person who undergoes measurement by this device; the same shall apply hereinafter), which changes over time. Therefore, it becomes possible to obtain an important index for evaluating the degree of progression of disorders including dementia and the degree of recovery of motor function.
  • the feature amounts extracted by the feature amount extraction circuit are the phase difference between the right and left tapping waveforms of the finger tapping motion that periodically opens and closes, the total moving distance associated with the opening and closing of the finger, and the It is preferable to include at least one of a tapping period (open/close time) and a maximum distance between two fingers (maximal point).
  • These feature amounts are parameters that directly indicate the fatigue level of the subject's finger tapping exercise over time, and therefore enable direct and clear understanding (evaluation) of the fatigue level of the finger tapping exercise. In this case, as the fatigue level of the finger tapping exercise increases, it becomes difficult to open and close the fingers at a constant timing. deviation) becomes large.
  • the opening and closing motion of the finger slows down, so the tapping cycle (opening and closing time) in the finger tapping motion becomes longer, and the total moving distance associated with the opening and closing of the finger tends to decrease.
  • the fatigue level of the finger tapping exercise increases, the movement of the fingers also decreases, so the maximum separation distance (local maximum point) between the two fingers also decreases. In this way, these parameters are directly related to the degree of finger fatigue (direct indicators of fatigue). and the degree of recovery of motor function.
  • the phase difference (phase shift) in the periodically opening and closing finger tapping motion can be obtained, for example, by extracting the deviation of the tapping waveform of the left hand from that of the right hand when one cycle of the tapping waveform of the right hand is 360 degrees. Desired.
  • the time-series data generation circuit preferably generates graphed time-series data. Graphing such time-series data enables quantitative evaluation to be performed at a glance.
  • the finger tapping measurement processing device preferably further includes a display for displaying the time-series data generated by the time-series data generation circuit.
  • the time-series data generation circuit further includes an average-value data generation circuit that generates average-value data regarding each feature amount of a plurality of subjects, and the time-series data generation circuit superimposes a reference line indicating the average-value data on the time-series data.
  • display data is generated for display on a display. For example, by calculating the average value for each age, such average value data can be compared with the current actual measurement value of the subject to determine whether or not they have age-appropriate health conditions.
  • the reference line indicating such average value data on the time-series data and displaying it, the relative health condition of the subject can be easily grasped visually at a glance. become able to.
  • the time-series data generation circuit generates display data for arranging and displaying past history data in the time-series data of the same feature amount on the display. According to this, it becomes possible to grasp the degree of progress of disability including dementia and the degree of recovery of motor function at a glance.
  • the time series data generation circuit divides the time axis of the time series data of the feature quantity into a plurality of time zones having equal elapsed times, and generates time series data corresponding to each time zone. It is preferable to generate each of the segmented data and to generate display data for arranging and displaying the segmented data on a display along a continuous time series so as to be mutually identifiable. According to this, it is possible to understand at a glance the degree of gradual change in the degree of fatigue in a series of time series as the change in the slope of the straight line over time.
  • the time series data generation circuit divides the time axis of the time series data of the feature quantity into a plurality of time zones having equal elapsed times, and generates time series data corresponding to each time zone. It is preferable to generate each of the segmented data and to generate display data for displaying the segmented data so that they can be distinguished from each other in chronological order in each time zone on a display. According to this, it is possible to understand at a glance the degree of gradual change in the degree of fatigue in a series of time series as the amount of difference in the slope of the straight line.
  • the processor may, for example, evaluate the subject's brain function and cognitive function (for example, by comparing with data from healthy subjects) based on the feature amount. Such assessments can be effective as early stage screening to discriminate dementia and aid in detection of dementia.
  • the application of the measurement processing device with such a processor is not limited to the clinical field. Wide range of applications.
  • the present invention also provides a finger tapping measurement processing method and a computer program for measuring finger tapping motion and processing the measurement results.
  • a feature quantity related to the degree of finger fatigue is extracted as quantitative data from detection information detected by a tapping sensor, and time-series data thereof is generated. Therefore, it becomes possible to quantitatively and clearly grasp the degree of fatigue of the subject, which changes over time.
  • FIG. 1 is a block diagram showing a schematic configuration of a finger tapping measurement processing device according to an embodiment of the present invention
  • FIG. FIG. 2 is a schematic diagram showing both hands of a subject with tapping sensors attached to the thumb and index finger
  • 2 is a flow chart showing an example of the operation of the finger tapping measurement processing device of FIG. 1
  • FIG. 3 is a diagram showing an example of display data in which graphed time-series data of a certain feature amount is displayed side by side, where (a) shows right-hand display data and (b) shows left-hand display data.
  • FIG. 10 is a diagram showing an example of graphed time-series data of a feature amount that is a phase difference (simultaneous phase difference) between tapping waveforms of the right and left hands of a finger tapping motion in which the right and left hands are periodically opened and closed at the same time.
  • FIG. 10 is a diagram showing an example of graphed time-series data of a feature amount that is a phase difference (simultaneous phase difference) between tapping waveforms of the right and left hands of a finger tapping motion in which the right and left hands are periodically opened and closed at the same time.
  • FIG. 10 is a diagram showing an example of graphed time-series data of a feature amount that is a phase difference (alternating phase difference) between tapping waveforms of the right hand and the left hand in a finger tapping motion in which the right hand and the left hand are alternately and periodically opened and closed.
  • the time axis of the graphed time-series data of the feature value which is the maximum separation distance (maximum point) between two fingers, is divided into multiple time zones with equal elapsed time, and the time-series data corresponding to each time zone
  • It is a figure which shows an example of the display data which arranges and displays certain division data along continuous time series, respectively.
  • FIG. 10 is a diagram showing an example of display data in which segmented data, which are time-series data corresponding to each time period, are displayed along a continuous time-series so as to be mutually identifiable.
  • FIG. 4B is a diagram showing an example of display data in which segmented data, which are time-series data corresponding to each time zone, are displayed along a continuous time series so as to be mutually identifiable from each other
  • FIG. 10 is a diagram showing an example of display data in which data are arranged and displayed in chronological order in each time period so as to be mutually identifiable.
  • FIG. 1 shows a schematic configuration of a finger tapping measurement processing device 1 according to one embodiment of the present invention. As shown in the figure, it comprises a measurement unit 10 having a tapping sensor 2 that magnetically detects finger tapping movements, which are opening and closing movements of two fingers, and a processor 30 that processes measurement data measured by the measurement unit 10 .
  • the measurement unit 10 calculates motion data of a finger based on the relative distance between a pair of a transmission coil and a reception coil attached to a finger (or other movable part) of a living body. At least one of distance, velocity, acceleration, and jerk (time-differentiated acceleration) is detected in chronological order. It can be acquired as data (waveform data).
  • the measurement unit 10 includes a tapping sensor 2, first and second switching circuits 4 and 5, an AC generator 6 for generating AC, an amplifier/filter circuit 7, an A/D converter 8, and a detector. 9, a downsampler 10 for downsampling, and a controller 11 for controlling these operations.
  • the tapping sensor 2 consists of pairs of transmitting coils 2A (2A') and receiving coils 2B (2B') (which may be multiple rows of coil pairs), for example, the subject's hand 100 as shown in FIG. is attached to the finger (for example, nail portion) of the device using, for example, double-sided tape or a fixing band.
  • a pair of the transmitter coil 2A and the receiver coil 2B are attached to the thumb 100a and the index finger 100b of the subject's right hand 100A, respectively, and the thumb 100a and the thumb 100a of the subject's left hand 100A'.
  • a pair of transmitting coil 2A' and receiving coil 2B' are respectively attached to the index finger 100b (the attached finger may be reversed or may be attached to another finger).
  • the transmitting coil 2A (2A') transmits a magnetic field
  • the receiving coil 2B (2B') receives (detects) the magnetic field transmitted by the transmitting coil 2A (2A').
  • a single AC generator 6 is connected to the transmission coil 2A (2A') via a first switching circuit 4.
  • an alternating current for example, a current of 20 kHz
  • the AC generator 6 generates an AC current with a predetermined frequency, and the controller 11 controls the timing of the current flow.
  • a signal generated by the AC generator 6 is used as a reference signal for the detection operation of the detector 9 .
  • the controller 11 generates synchronization signals for controlling the first and second switching circuits 4,5. This synchronizing signal enables the first switching circuit 4 and the second switching circuit 5 to be switched at the same time, so that each pair of the transmitting coil 2A (2A') and the receiving coil 2B (2B') operates sequentially.
  • the receiving coil 2B (2B') is connected to the amplifier/filter circuit 7 via the second switching circuit 5, and the output signal from the amplifier/filter circuit 7 is converted to a digital signal by the A/D converter 8. and the digital signal is transmitted to the wave detector 9 .
  • the conversion of analog data into digital data by the A/D converter 8 facilitates subsequent processing (such as downsampling).
  • the AC magnetic field waveform (noise portion) for a predetermined period immediately after switching by the second switching circuit 5 is deleted from the AC magnetic field waveform detected by the receiving coil 2B (2B').
  • the time of deletion processing in the AC magnetic field waveform of each receiving coil 2B (2B') is accurately controlled by the controller 11.
  • detector 9 performs full-wave rectification processing and filtering processing (mainly processing by a low-pass filter (LPF)) using the aforementioned reference signal.
  • the digital signal processed by the detector 9 is processed by the down sampler 10 to a sampling frequency (eg, 200 Hz) that is about 1/1000 (predetermined ratio) of the sampling frequency (eg, 200 kHz) of the A/D converter 8. is converted (down-sampled) to coarse data. This makes it possible to reduce the overall data capacity. Therefore, even if the communication capacity is limited, the output signal can be transmitted at high speed as data of a plurality of receiving coils.
  • the communication interface 12 of the measurement unit 10 transmits the finger movement data related to the plurality of receiving coils to the processor 30 wirelessly or by wire (through the communication interface 31 of the processor 30). ) can be delivered at once.
  • a processor 30 that processes the measurement data measured by the measurement unit 10 extracts feature values related to finger fatigue from detection information detected by the tapping sensor 2 (thus, output data output from the measurement unit 10). as quantitative data, a time series data generation circuit 34 for generating time series data of the feature amount extracted by the feature amount extraction circuit 33, and receiving the feature amount from the feature amount extraction circuit 33. Generate (calculate) average value data for each feature quantity of a plurality of subjects whose finger tapping movements are measured by the measurement unit 10 (for example, calculate average values by age of the subjects). It has a circuit 32 and a comparison circuit 35 for comparing actual measurement value data of the feature quantity received from the feature quantity extraction circuit 33 and average value data received from the average value data generation circuit 32 and outputting the comparison result.
  • the time-series data generating circuit 34 is adapted to generate time-series data in which feature quantities are graphed.
  • the feature quantity extracted by the feature quantity extraction circuit 33 is the phase difference (phase shift) between the tapping waveforms of the right hand and the left hand of the finger tapping movement that periodically opens and closes, and the total movement accompanying the opening and closing of the finger It includes at least one of distance, tapping period (open/close time) in finger tapping motion, and maximum distance between two fingers (maximal point).
  • the finger tapping measurement processing device 1 includes a display 37 that displays the time-series data generated by the time-series data generation circuit 34 of the processor 30 and the comparison results output from the comparison circuit 35 of the processor 30;
  • a memory 36 for storing various data including time-series data generated by the time-series data generation circuit 34 of the processor 30 and average value data generated by the average value data generation circuit 32 of the processor 30, and data necessary for the processor 30
  • the processor 30 is configured by a CPU or the like, and executes programs such as an operating system (OS) and various operation control applications stored in the memory 36 to control the various circuits described above. 32, 33, 34, and 35, and controls activation of various applications.
  • OS operating system
  • various operation control applications stored in the memory 36 to control the various circuits described above. 32, 33, 34, and 35, and controls activation of various applications.
  • the memory 36 is composed of a flash memory or the like, and stores programs such as an operating system and applications for operation control of various processes such as images, sounds, documents, displays, and measurements.
  • the memory 36 also stores information data such as base data required for basic operations by the operating system and file data used by various applications.
  • the processing by the processor 30 may be stored as one application, and the measurement processing of finger movements and the calculation and analysis of various feature values may be performed by starting the application.
  • an external server device with high computational performance and large capacity may receive the measurement results from the information processing terminal and calculate and analyze the feature amount.
  • the operation input interface 38 generally uses input means such as a keyboard, key buttons, touch keys, etc., but may also use, for example, gesture operation or voice input, and is used to set and input information to be input by the subject. is.
  • the communication interface 31 may not only receive measurement results from the measurement unit 10, but may also perform wireless communication with a server device or the like located at another location by short-range wireless communication, wireless LAN, or base station communication.
  • measurement data, analytically calculated feature values, and the like may be transmitted and received to and from a server device or the like via the transmitting/receiving antenna 39 during wireless communication.
  • the short-range wireless communication is performed using, for example, an electronic tag, but is not limited to this. ), IrDA (Infrared Data Association, registered trademark), Zigbee (registered trademark), HomeRF (Home Radio Frequency, registered trademark), or wireless LAN such as Wi-Fi (registered trademark) good.
  • long-distance wireless communication such as W-CDMA (Wideband Code Division Multiple Access) or GSM (Registered Trademark) (Global System for Mobile Communications) may be used. It is also possible to detect the positional relationship and orientation between terminals using an ultra-wideband (Ultra Wide Band: UWB) system.
  • UWB Ultra Wide Band
  • the communication interface 31 may use other methods such as communication using optical communication sound waves as means for wireless communication. In that case, instead of the transmitting/receiving antenna 39, a light emitting/receiving unit and a sound wave output/sound wave input interface are used.
  • the measurement unit 10 and the processor 30 have the respective components described above, but they may have a functional unit that integrates at least some or all of these components. As long as the functions of the respective components are ensured, any configuration form may be formed.
  • the time-series data generation circuit 34 of the processor 30 described above also has a function of generating various display data for displaying the generated time-series data on the display 37 in various display modes.
  • the time-series data generation circuit 34 can generate display data for displaying on the display 37 a reference line indicating the average value data generated by the average value data generation circuit 32 superimposed on the time-series data.
  • the time series data generation circuit 34 also divides the time axis of the time series data of the feature quantity into a plurality of time zones with equal elapsed times, and generates segmented data as time series data corresponding to each time zone.
  • FIG. 3 shows an example of the processing steps performed by processor 30 .
  • the finger tapping measurement processing device 1 of the present embodiment first detects the finger tapping motion performed by the subject (step S1).
  • the measurement unit 10 magnetically detects the finger tapping motion of the subject using the tapping sensor 2 (detection step), and the processor 30 acquires detection data from the tapping sensor 2 (tapping data acquisition step).
  • the processor 30 subsequently causes the feature amount extraction circuit 33 to extract the finger tapping motion from the detection information.
  • the time series data generation circuit 34 extracts time series data of the extracted feature amount (in this embodiment, especially graphed time-series data) is generated (step S3; time-series data generation step). Also concurrently or thereafter, processor 30 may: The mean value data generating circuit 32 generates mean value data regarding each feature quantity of the subject (step S4; mean value data generating step).
  • step S5 when a display mode is selected (or instructed) through the operation input interface 38 (step S5), the display data (time-series data) of the selected (instructed) corresponding display mode is generated by the time-series data generation circuit. 34 and displayed on the display 37 (step S6; display step).
  • FIG. 4 shows a display mode in which the time-series data of the feature amount, which is the maximum separation distance (maximum point) between two fingers, and the time-series data of the feature amount, which is the tapping cycle (opening/closing time) in the finger tapping motion, are displayed side by side.
  • An example of (display data) is shown.
  • the lower side shows the time of the maximum separation distance (maximum point) between the two fingers.
  • the horizontal axis is time ( ⁇ 10 ms) and the vertical axis (left vertical axis) is distance (mm).
  • the time-series data of the tapping cycle opening/closing time
  • the right hand of the same subject n who performs finger tapping exercise alternately with the right hand and left hand is shown as a scatter diagram with square dots.
  • the graphed time-series data of the feature value that is the maximum separation distance (maximum point) between the two fingers and the graphed time-series data of the feature value that is the tapping period (opening/closing time) in the finger tapping motion are used.
  • data and data are distinguished by the shape of dots and the type of straight line, they may be distinguished by other forms of identification such as different colors.
  • the time-series data generation circuit 34 causes the average value data generation circuit 32 to
  • Reference lines indicating the generated average value data for example, the reference line R1 regarding the maximum separation distance between two fingers (maximum point) and the reference line R2 regarding the tapping period (opening/closing time)
  • are time-series data straight lines L1, L2 and It may be displayed as display data on the display 37 by being superimposed on the corresponding dot).
  • the reference lines R1 and R2 based on such average value data are based on comparison with the current measured values of the target subject, and are age-appropriate.
  • a comparison circuit compares the actual measurement value data of the feature quantity received from the feature quantity extraction circuit 33 and the average value data received from the average value data generation circuit 32. Comparison results from 35 may be displayed on display 37 in the form of text data, for example.
  • FIG. 5 shows a display mode (display data) for displaying the time-series data of the feature amount, which is the phase difference (simultaneous phase difference) between the right and left tapping waveforms of the finger tapping motion in which the right and left hands are periodically opened and closed at the same time.
  • phase difference sustaneous phase difference
  • FIG. 5 shows the phase difference between the tapping waveforms of the right and left hands of the finger tapping exercise that periodically opens and closes with respect to one subject kt who performs the finger tapping exercise of the right hand and the left hand at the same time.
  • the horizontal axis is time ( ⁇ 10 ms) and the vertical axis is phase difference (°).
  • (b) of FIG. 5 shows time-series data of the phase difference between the tapping waveforms of the right hand and left hand of the periodic finger tapping motion of another subject kr who simultaneously performs the finger tapping motion of the right and left hands.
  • FIG. 6 also shows a display mode ( An example of display data) is shown. Specifically, (a) of FIG. 6 shows time-series data of the phase difference between the tapping waveforms of the right hand and the left hand of the finger tapping motion that periodically opens and closes for the same subject kt as in (a) of FIG.
  • FIG. 6 shows the time-series data of the phase difference between the right and left hand tapping waveforms of the periodic finger tapping movement for the same subject kr as shown in (b) of FIG.
  • past history data H (here, a plurality of past graphed linear history data) may be displayed side by side on the display 37 as display data.
  • FIG. 7 shows another example of the display mode (display data) for displaying the time-series data of the feature quantity, which is the maximum separation distance (maximum point) between two fingers (horizontal axis is time ( ⁇ 10 ms ) and the vertical axis is the distance (mm)).
  • the time axis of the time-series data is divided into a plurality of time zones with equal elapsed times.
  • the divided data D1, D2, D3, and D4, which are time-series data corresponding to each of the time zones T1, T2, T3, and T4, are arranged and displayed in continuous time series. More specifically, in (a) of FIG.
  • FIG. 7(b) shows the maximum distance between the two fingers as segment data D1 in the time period T1 from 0 seconds to 15 seconds for the right hand of the same subject h who performs finger tapping exercise alternately with the right hand and the left hand.
  • the time series data of the maximum separation distance (maximum point) between the two fingers is scattered by circular dots as the segmented data D2.
  • a solid straight line (approximate straight line) L5 (y -0.0007 x + 57.319) showing approximately the average value thereof, that is, graphed time series data is shown, and 31 seconds In the time period T3 of ⁇ 45 seconds, the time-series data of the maximum separation distance (maximum point) between the two fingers is shown as a scatter diagram with circular dots as the segmented data D3, and a solid line showing their approximate average value.
  • each time period may be identifiably displayed by changing the line type of straight lines or the color of dots.
  • FIG. 8 shows an example of a display mode (display data) for displaying time-series data of the feature amount, which is the total distance moved by opening and closing the finger (horizontal axis is time ( ⁇ 10 ms), vertical axis is axis is distance (mm)).
  • the time axis of the time-series data is divided into a plurality of time zones with equal elapsed times.
  • the segmented data D1, D2, D3, and D4, which are time-series data corresponding to each of the time zones T1, T2, T3, and T4, are arranged and displayed along the continuous time series so as to be mutually identifiable. . More specifically, in (a) of FIG.
  • L10 (y 0.716x + 5995.6), that is, graphed time-series data is shown, and in the time period T4 from 46 seconds to 60 seconds, the total movement associated with opening and closing the finger as segment data D4
  • FIG. 9 shows another example of the display mode (display data) for displaying time-series data of the feature amount, which is the total moving distance of the finger when the finger is opened and closed (the horizontal axis is time ( ⁇ 10 ms). , the vertical axis is the distance (mm)).
  • the time axis of the time-series data is divided into a plurality of time zones with the same elapsed time.
  • the segmented data D1, D2, D3, and D4, which are the corresponding time-series data, are arranged in respective time-series in each time zone (the origins of the time-series are aligned) and displayed so as to be identifiable from each other. More specifically, in FIG.
  • the present invention is not limited to the above-described embodiments, and can include various modifications.
  • the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described.
  • part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment.
  • each of the above configurations, functions, processing units, processing means, etc. may be realized in hardware, for example, by designing a part or all of them with an integrated circuit.
  • each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function.
  • Information such as programs, tables, and files that implement each function may be stored in recording devices such as memory, hard disks, SSDs (Solid State Drives), or recording media such as IC cards, SD cards, and DVDs. , may be stored in a device on a communication network.
  • control lines and information lines indicate what is considered necessary for explanation, and not all control lines and information lines are necessarily indicated on the product. In practice, it may be considered that almost all configurations are interconnected.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Neurology (AREA)
  • Psychiatry (AREA)
  • Physiology (AREA)
  • Developmental Disabilities (AREA)
  • Child & Adolescent Psychology (AREA)
  • Psychology (AREA)
  • Hospice & Palliative Care (AREA)
  • General Physics & Mathematics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Neurosurgery (AREA)
  • Dentistry (AREA)
  • Theoretical Computer Science (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Educational Technology (AREA)
  • Social Psychology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
PCT/JP2021/044465 2021-12-03 2021-12-03 指タッピング計測処理装置、方法及びコンピュータプログラム Ceased WO2023100347A1 (ja)

Priority Applications (4)

Application Number Priority Date Filing Date Title
PCT/JP2021/044465 WO2023100347A1 (ja) 2021-12-03 2021-12-03 指タッピング計測処理装置、方法及びコンピュータプログラム
JP2023564694A JP7675208B2 (ja) 2021-12-03 2021-12-03 指タッピング計測処理装置、方法及びコンピュータプログラム
CN202180104494.6A CN118302113A (zh) 2021-12-03 2021-12-03 手指点击测量处理装置、方法以及计算机程序
US18/715,753 US20250031997A1 (en) 2021-12-03 2021-12-03 Finger tapping measurement processing apparatus, method, and computer program

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/044465 WO2023100347A1 (ja) 2021-12-03 2021-12-03 指タッピング計測処理装置、方法及びコンピュータプログラム

Publications (1)

Publication Number Publication Date
WO2023100347A1 true WO2023100347A1 (ja) 2023-06-08

Family

ID=86611691

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/044465 Ceased WO2023100347A1 (ja) 2021-12-03 2021-12-03 指タッピング計測処理装置、方法及びコンピュータプログラム

Country Status (4)

Country Link
US (1) US20250031997A1 (https=)
JP (1) JP7675208B2 (https=)
CN (1) CN118302113A (https=)
WO (1) WO2023100347A1 (https=)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60246734A (ja) * 1984-05-22 1985-12-06 株式会社東芝 患者監視装置
WO2017212719A1 (ja) * 2016-06-06 2017-12-14 マクセル株式会社 手指運動練習メニュー生成システム、方法、及びプログラム
WO2018062173A1 (ja) * 2016-09-29 2018-04-05 マクセル株式会社 タスク実行順序決定システムおよびタスク実行方法
WO2021014717A1 (ja) * 2019-07-22 2021-01-28 マクセル株式会社 検出装置および検出方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007301003A (ja) * 2006-05-09 2007-11-22 Hitachi Ltd 運動機能検査装置および運動波形間の位相比較方法
US9703407B1 (en) * 2014-10-13 2017-07-11 The Cognitive Healthcare Company Motion restriction and measurement for self-administered cognitive tests

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60246734A (ja) * 1984-05-22 1985-12-06 株式会社東芝 患者監視装置
WO2017212719A1 (ja) * 2016-06-06 2017-12-14 マクセル株式会社 手指運動練習メニュー生成システム、方法、及びプログラム
WO2018062173A1 (ja) * 2016-09-29 2018-04-05 マクセル株式会社 タスク実行順序決定システムおよびタスク実行方法
WO2021014717A1 (ja) * 2019-07-22 2021-01-28 マクセル株式会社 検出装置および検出方法

Also Published As

Publication number Publication date
US20250031997A1 (en) 2025-01-30
JPWO2023100347A1 (https=) 2023-06-08
JP7675208B2 (ja) 2025-05-12
CN118302113A (zh) 2024-07-05

Similar Documents

Publication Publication Date Title
US11517788B2 (en) Finger exercise training menu generating system, method thereof, and program thereof
JP6592416B2 (ja) タスク実行順序決定システムおよびタスク実行方法
US11484225B2 (en) Rehabilitation evaluation apparatus, rehabilitation evaluation method, and rehabilitation evaluation program
JP7296495B2 (ja) 異常データ処理システムおよび異常データ処理方法
US7455648B2 (en) Living body inspection apparatus
US20070272599A1 (en) Moving body inspection apparatus and method of comparing phases between movement waveforms
JP6765998B2 (ja) 情報処理装置および情報処理プログラム
JP2016049282A (ja) 脳機能障害評価システム、脳機能障害評価方法およびプログラム
JP2006296618A (ja) 運動解析表示装置および運動解析方法
Sahyoun et al. ParkNosis: Diagnosing Parkinson's disease using mobile phones
JP7219182B2 (ja) 検出装置および検出方法
JP2023133526A (ja) 検出装置および検出方法
JP2007054597A (ja) 運動機能検査装置
US11172849B2 (en) Movement function assessment system and movement function measurement apparatus
JP7675208B2 (ja) 指タッピング計測処理装置、方法及びコンピュータプログラム
WO2023042343A1 (ja) 手指の動きを計測処理する計測処理端末、方法およびコンピュータプログラム
JP2023020273A (ja) 情報処理装置、プログラムおよび情報処理方法
WO2025203904A1 (ja) 軽度認知障害スクリーニング方法、該方法を伴うコンピュータプログラム及びスクリーニング装置
WO2025191875A1 (ja) 軽度認知障害スクリーニング方法、該方法を伴うコンピュータプログラム及びスクリーニング装置
JP2025127959A (ja) 指運動計測処理装置、方法及びコンピュータプログラム
WO2025210847A1 (ja) 指運動過剰性評価方法、該方法を伴うコンピュータプログラム及び装置
CN100508886C (zh) 运动机能检查装置
Ferreira et al. Validity and Reliability of a Mobile Device Application for Assessing Motor Performance in the 30-Second Sit-to-Stand Test
Medrano A smartphone-based system for detecting hand tremors in unconstrained environments

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21966428

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2023564694

Country of ref document: JP

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 202180104494.6

Country of ref document: CN

WWE Wipo information: entry into national phase

Ref document number: 18715753

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21966428

Country of ref document: EP

Kind code of ref document: A1