WO2021075061A1 - Dispositif de mesure de fonction cognitive, système de mesure de fonction cognitive, procédé de mesure de fonction cognitive, et programme de mesure de fonction cognitive - Google Patents

Dispositif de mesure de fonction cognitive, système de mesure de fonction cognitive, procédé de mesure de fonction cognitive, et programme de mesure de fonction cognitive Download PDF

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Publication number
WO2021075061A1
WO2021075061A1 PCT/JP2019/041177 JP2019041177W WO2021075061A1 WO 2021075061 A1 WO2021075061 A1 WO 2021075061A1 JP 2019041177 W JP2019041177 W JP 2019041177W WO 2021075061 A1 WO2021075061 A1 WO 2021075061A1
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cognitive function
data
subject
walking
measuring device
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PCT/JP2019/041177
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English (en)
Japanese (ja)
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啓之 小林
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エーザイ・アール・アンド・ディー・マネジメント株式会社
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Priority to PCT/JP2019/041177 priority Critical patent/WO2021075061A1/fr
Publication of WO2021075061A1 publication Critical patent/WO2021075061A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording 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, mobility of a limb
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to a cognitive function measuring device, a cognitive function measuring system, a cognitive function measuring method, and a cognitive function measuring program.
  • Patent Document 1 the feature amount is calculated from the sentence voice data indicating the voice spoken by the evaluated person according to the instructed sentence, and the feature amount, the voice data indicating the voice uttered by the person, and the voice data of the person concerned are calculated.
  • a cognitive function evaluation device that evaluates the cognitive function of the evaluated person by collating with reference data showing the relationship with the cognitive function is described.
  • the movement locus of the walking point indicating the position on the walking surface on which the person to be measured walks is calculated from the moving image data of the person to be measured during walking, and the walking locus of the person to be measured is used.
  • the parameters are calculated, and the walking parameters are collated with the reference data showing the relationship between the walking parameters indicating the body movement during walking of the person and the degree of the cognitive function of the person, and the cognitive function corresponding to the walking parameters of the person to be measured is collated.
  • a cognitive function evaluation support device that outputs the degree of
  • Patent Documents 1 and 2 By the conventional evaluation of cognitive function including Patent Documents 1 and 2, it is determined whether the subject has a healthy cognitive function or has cognitive dysfunction.
  • the classification of mild cognitive impairment may be used as an intermediate condition from a healthy state to cognitive impairment.
  • the present invention provides a cognitive function measuring device, a cognitive function measuring system, a cognitive function measuring method, and a cognitive function measuring program capable of capturing minute changes in cognitive function.
  • the cognitive function measuring device includes audio data recording the subject's answer to a predetermined question, drawing data recording the subject's answer to a predetermined drawing task, and walking recording the subject's walking. Based on the acquisition unit that acquires data, the calculation unit that calculates multiple evaluation values related to cognitive function based on voice data, drawing data, and walking data, and the calculation unit that calculates multiple evaluation values, the subject is classified as healthy class and mild. It is provided with a classification unit that classifies into any of four or more classes that are finer than the three classes of cognitive dysfunction class and cognitive dysfunction class.
  • the classification unit classifies the subject based on a plurality of evaluation values into two or more subclasses included in the healthy class, two or more subclasses included in the mild cognitive impairment class, and a cognitive impairment class. It may be classified into any of.
  • the mild cognitive impairment class and the healthy class which are the pre-stages leading to cognitive impairment, into two or more subclasses, it becomes easier to grasp minute changes in cognitive function.
  • a providing unit that provides advice to the target person may be further provided based on at least one of voice data, drawing data, and walking data.
  • the acquisition unit may further acquire the vital data of the target person, and the providing unit may provide advice based on at least one of voice data, drawing data, walking data, and vital data.
  • the "voice data" in the present invention includes not only physical data of the voice itself such as voice pitch and voice volume, but also data associated with the voice itself such as response time to a question and text data of response contents to a question. ..
  • the "drawing data" in the present invention includes not only physical data of the drawing itself such as drawing smoothness and drawing speed, but also data associated with the drawing itself such as reproducibility and accuracy for a problem.
  • the "walking data” in the present invention includes data related to walking such as walking rhythm and acceleration data acquired by an acceleration sensor attached to the foot, in addition to stride length and walking speed.
  • the providing unit may provide advice for each category of activities of daily living.
  • the provider may provide advice on maintaining cognitive function.
  • the providing department may provide advice on business aptitude.
  • the provider may provide advice on driving the vehicle.
  • the provider may provide advice on property management.
  • the provider may provide advice on the contract.
  • the cognitive function measurement system includes a terminal device for acquiring voice data recording the subject's answer to a predetermined question and drawing data recording the subject's answer to a predetermined drawing task, and a target. It is a cognitive function measuring system including a sensor for acquiring walking data recording a person's walking and a cognitive function measuring device, and the cognitive function measuring device is a cognitive function based on voice data, drawing data, and walking data. It has a calculation unit that calculates a plurality of evaluation values related to the data, and a classification unit that classifies the subject into one of four or more classes based on the plurality of evaluation values.
  • the cognitive function measuring method records audio data recording the subject's answer to a predetermined question, drawing data recording the subject's answer to a predetermined drawing task, and recording the subject's walking. Acquiring walking data, calculating multiple evaluation values related to cognitive function based on voice data, drawing data, and walking data, and based on multiple evaluation values, recognizes the subject as a healthy class and mildly cognitive. Includes classifying into one of four or more classes, which is finer than the three classes of dysfunction class and cognitive dysfunction class.
  • the computer provided in the cognitive function measuring device records audio data recording the subject's answer to a predetermined question and the subject's answer to a predetermined drawing task.
  • the acquisition unit that acquires the drawn drawing data and the walking data that records the walking of the target person
  • the calculation unit that calculates a plurality of evaluation values related to cognitive function based on the voice data, the drawing data, and the walking data, and a plurality of evaluation values.
  • the subject is made to function as a classification unit that classifies the subject into one of four or more classes, which is finer than the three classes of healthy class, mild cognitive dysfunction class, and cognitive dysfunction class.
  • a cognitive function measuring device capable of capturing minute changes in cognitive function.
  • FIG. 1 is a diagram showing a functional block of the cognitive function measuring system 100 according to the embodiment of the present invention.
  • the cognitive function measuring system 100 includes a cognitive function measuring device 10, a terminal device 20, a camera 30, and a vital sensor 40.
  • the terminal device 20 acquires voice data recording the answer of the target person A to a predetermined question and drawing data recording the answer of the target person A to the predetermined drawing task.
  • the terminal device 20 is composed of, for example, a tablet terminal.
  • the camera 30 acquires walking data recording the walking of the subject A.
  • the camera 30 is an example of a sensor, and is composed of, for example, a general-purpose video camera.
  • the vital sensor 40 acquires the vital data of the target person.
  • the vital sensor 40 is an example of a sensor, and is composed of, for example, an activity meter.
  • Vital data include, for example, heart rate, blood pressure, respiratory rate, body temperature and brain waves.
  • the cognitive function measuring device 10 includes a first acquisition unit 11a, a second acquisition unit 11b, a third acquisition unit 11c, a fourth acquisition unit 11d, a voice data storage unit 12a, a drawing data storage unit 12b, a walking data storage unit 12c, and a vital. It includes a data storage unit 12d, a calculation unit 13, a classification unit 14, and a provision unit 15.
  • the first acquisition unit 11a acquires voice data recording the answer of the target person A to a predetermined question from the terminal device 20, and stores it in the voice data storage unit 12a.
  • the second acquisition unit 11b acquires drawing data recording the response of the target person A to a predetermined drawing task from the terminal device 20, and stores it in the drawing data storage unit 12b.
  • the third acquisition unit 11c acquires walking data recording the walking of the subject A from the camera 30 and stores it in the walking data storage unit 12c.
  • the fourth acquisition unit 11d acquires the vital data of the target person A from the vital sensor 40 and stores it in the vital data storage unit 12d.
  • the calculation unit 13 calculates a plurality of evaluation values related to cognitive function at least based on voice data, drawing data, and walking data.
  • the calculation unit 13 may calculate a plurality of evaluation values related to the cognitive function based on the voice data, the drawing data, the walking data, and the vital data.
  • Multiple evaluation values for cognitive function include, for example, an evaluation value for memory, an evaluation value for visual attention, an evaluation value for executive function, an evaluation value for suppression control, an evaluation value for sensitivity to interference stimuli, and an evaluation value for distributive attention. , Evaluation value related to sustainability attention, evaluation value related to calculation, and evaluation value related to time and place insight.
  • the classification unit 14 classifies the subject A into one of four or more classes, which is finer than the three classes of the healthy class, the mild cognitive impairment class, and the cognitive impairment class, based on a plurality of evaluation values. In this way, by classifying subject A into one of four or more classes, which is finer than the three classes of healthy class, mild cognitive impairment class, and cognitive impairment class, it is possible to capture minute changes in cognitive function. Will be able to.
  • the number of classification classes by the classification unit 14 may be 4 or more, and is not limited.
  • the number of classification classes by the classification unit 14 may be, for example, about 10.
  • a case where the cognitive function is evaluated one by one on a scale of 0 to 10 is also included.
  • the number of classification classes by the classification unit 14 may be changed according to the number of sample cases.
  • the classification unit 14 classifies subject A as one of two or more subclasses included in the healthy class, two or more subclasses included in the mild cognitive impairment class, and a cognitive impairment class. It may be classified into.
  • the classification unit 14 may divide the healthy class into, for example, a healthy subclass and a subclass that is healthy but has reduced suppression control.
  • the classification unit 14 classifies the mild cognitive impairment class into, for example, a subclass having mild cognitive impairment and decreased memory and inhibitory control, and a subclass having mild cognitive impairment and sensitivity to memory, inhibitory control and interference stimuli. It may be divided into subclasses with reduced memory. In this way, by dividing the mild cognitive impairment class and the healthy class, which are the pre-stages leading to cognitive impairment, into two or more subclasses, it becomes easier to grasp minute changes in cognitive function.
  • the providing unit 15 provides advice to the target person A based on at least one of voice data, drawing data, and walking data. This makes it possible to show a policy for preventing a decline in cognitive function or improving cognitive function.
  • the providing unit 15 may provide advice based on at least one of voice data, drawing data, walking data, and vital data.
  • voice data By using the voice data, the drawing data, the walking data, and the vital data, it is possible to evaluate the cognitive function of the subject A from various angles and provide more appropriate advice.
  • the providing unit 15 may provide advice for each category of activities of daily living.
  • the categories of daily living may include, for example, shopping, telephone, meal preparation, cleaning, laundry, driving, medication management and property management. In this way, it is possible to show policies for preventing deterioration of cognitive function and improving cognitive function for familiar activities of daily living.
  • the provider 15 may provide advice on maintaining cognitive function. This makes it possible to show a policy for maintaining cognitive function.
  • the providing department 15 may provide advice on business aptitude.
  • the providing unit 15 may indicate, for example, a business that is more suitable for the target person A among the product delivery and the cash register. As a result, it is possible to present a suitable work in consideration of the cognitive function of the subject A.
  • the provider 15 may provide advice on driving a vehicle. Thereby, it is possible to provide objective advice regarding the driving of the vehicle in consideration of the cognitive function of the subject A.
  • the provider 15 may provide advice on property management. As a result, it is possible to provide objective advice regarding property management in consideration of the cognitive function of the subject A.
  • the provider 15 may provide advice regarding the contract.
  • the providing unit 15 may, for example, provide advice on a lease contract, provide advice on a rental property contract, provide advice on an insurance contract, or provide advice on a sales contract. In this way, it is possible to provide objective advice regarding the contract in consideration of the cognitive function of the subject A.
  • FIG. 2 is a diagram showing a physical configuration of the cognitive function measuring device 10 according to the present embodiment.
  • the cognitive function measuring device 10 communicates with a CPU (Central Processing Unit) 10a corresponding to a calculation unit, a RAM (Random Access Memory) 10b corresponding to a storage unit, and a ROM (Read only Memory) 10c corresponding to a storage unit. It has a unit 10d, an input unit 10e, and a display unit 10f. Each of these configurations is connected to each other via a bus so that data can be transmitted and received.
  • the cognitive function measuring device 10 is composed of one computer will be described, but the cognitive function measuring device 10 may be realized by combining a plurality of computers.
  • the configuration shown in FIG. 3 is an example, and the cognitive function measuring device 10 may have configurations other than these, or may not have a part of these configurations.
  • the CPU 10a is a control unit that controls execution of a program stored in the RAM 10b or ROM 10c, calculates data, and processes data.
  • the CPU 10a is a calculation unit that executes a program (cognitive function measuring program) for measuring the cognitive function of the subject.
  • the CPU 10a receives various data from the input unit 10e and the communication unit 10d, displays the calculation result of the data on the display unit 10f, and stores the data in the RAM 10b.
  • the RAM 10b is a storage unit in which data can be rewritten, and may be composed of, for example, a semiconductor storage element.
  • the RAM 10b may store a program executed by the CPU 10a, voice data, drawing data, walking data, and the like. It should be noted that these are examples, and data other than these may be stored in the RAM 10b, or a part of these may not be stored.
  • the ROM 10c is a storage unit capable of reading data, and may be composed of, for example, a semiconductor storage element.
  • the ROM 10c may store, for example, a cognitive function measurement program or data that is not rewritten.
  • the communication unit 10d is an interface for connecting the cognitive function measuring device 10 to another device.
  • the communication unit 10d may be connected to a communication network such as the Internet.
  • the input unit 10e receives data input from the user, and may include, for example, a keyboard and a touch panel.
  • the display unit 10f visually displays the calculation result by the CPU 10a, and may be configured by, for example, an LCD (Liquid Crystal Display).
  • the display unit 10f may display advice on improving cognitive function.
  • the cognitive function measurement program may be stored in a storage medium readable by a computer such as RAM 10b or ROM 10c and provided, or may be provided via a communication network connected by the communication unit 10d.
  • the CPU 10a executes the cognitive function measuring program to realize various operations described with reference to FIG. It should be noted that these physical configurations are examples and do not necessarily have to be independent configurations.
  • the cognitive function measuring device 10 may include an LSI (Large-Scale Integration) in which the CPU 10a and the RAM 10b or ROM 10c are integrated.
  • FIG. 3 is a diagram showing the classification result DP1 provided by the cognitive function measuring device 10 according to the present embodiment.
  • the classification result DP1 is "Name”, “gender”, “age”, and “sub” for the first subject A1, the second subject A2, the third subject A3, the fourth subject A4, and the fifth subject A5.
  • a radar chart of "groups” and evaluation values is shown.
  • "Name” is indicated by ID, not the real name of the subject.
  • the first subject A1 has "Name” of "221”, “gender” of "female”, and “age” of "71 years”.
  • the "subgroup” of the first subject A1 is the "subgroup (5) dementia group", and the first subject A1 is classified into the cognitive dysfunction class.
  • the radar chart of the evaluation values includes the evaluation values related to memory, the evaluation values related to visual attention and executive function, the evaluation values related to suppression control, the evaluation values related to sensitivity to interference stimuli, the evaluation values related to distributive attention, sustainability attention and calculation, and the evaluation values related to calculation. Including six evaluation values related to time and place insight, in the case of the first subject A1, all evaluation values are at the lowest level.
  • the second subject A2 has "Name” of "706", “gender” of "female”, and “age” of "77 years old".
  • the "subgroup” of the second subject A2 is the "subgroup (1) healthy group", and the second subject A2 is classified into the healthy class. In the radar chart of the evaluation values for the second subject A2, all the evaluation values are at the highest level.
  • the third subject A3 has "Name” of "209”, “gender” of "female”, and “age” of "69 years old".
  • the "subgroup” of the third subject A3 is "subgroup (2) low: -suppression control”, and the third subject A3 is classified into a class in which the suppression control function is deteriorated although it is a healthy person. Has been done.
  • the evaluation value of the suppression control is the lowest level, but the other evaluation values are the highest level.
  • the fourth subject A4 has "Name” of "296", “gender” of "male”, and “age” of "77 years old”.
  • the "subgroup” of the 4th subject A4 is "subgroup (3) low: -memory, suppression control slightly low: -distributiveness-sustainability attention and calculation”, and the 4th subject A4 has mild cognitive impairment. It is a dysfunction (MCI: Mild Cognitive Impairment) and is classified into a class in which memory and inhibitory control are impaired.
  • MCI Mild Cognitive Impairment
  • the evaluation values of suppression control are at the lowest level
  • the memory is at the intermediate level
  • the evaluation values of distributive attention, sustainability attention, and calculation are slightly lower than the highest level.
  • the other evaluation values are at the highest level.
  • the fifth subject A5 has "Name” of "268", “gender” of "female”, and “age” of "75 years old".
  • the "subgroup” of the fifth subject A5 is "subgroup (4) low: -memory, sensitivity to interference stimuli, suppression control slightly low: -time and place orientation, visual attention and executive function”.
  • the fifth subject, A5 has mild cognitive impairment (MCI: Mild Cognitive Impairment) and is classified into a class in which memory, inhibitory control, and sensitivity to interfering stimuli are reduced.
  • MCI Mild Cognitive Impairment
  • the radar chart of the evaluation values for the fifth subject A5 shows that the evaluation values of suppression control and sensitivity to interference stimuli are at the lowest level, the memory is at the intermediate level, and the evaluation values of visual attention and executive function, and the time and place.
  • the evaluation value of orientation is slightly lower than the highest level, and the evaluation values of distributive attention, sustainability attention and calculation are at the highest level.
  • FIG. 4 is a diagram showing a first example DP2 of advice provided by the cognitive function measuring device 10 according to the present embodiment.
  • the first example DP2 of advice includes a comprehensive evaluation DP2a and an individual evaluation DP2b.
  • the first example of advice DP2 is generated based on the walking test, the voice test, the drawing test, and the attribute information of the subject.
  • the walking test is a test for acquiring walking data
  • the voice test is a test for acquiring voice data
  • the drawing test is a test for acquiring drawing data.
  • the attribute information includes the subject's gender, age, height, weight, medical history, and the like.
  • Individual evaluation DP2b includes advice presented for each of the items of shopping, telephone, meal preparation, cleaning, laundry, driving, medication management and property management. Specifically, regarding shopping items, it is stated that "I think you can shop on your own without any problems", and the circles indicate that there are no problems.
  • the cognitive function measuring device 10 As described above, according to the cognitive function measuring device 10 according to the present embodiment, it is possible to show a policy for preventing a decrease in cognitive function or improving cognitive function in familiar activities of daily living.
  • FIG. 5 is a diagram showing a second example DP3 of advice provided by the cognitive function measuring device 10 according to the present embodiment.
  • the second example of advice DP3 includes exercise advice DP3a, cognitive advice DP3b and vital advice DP3c.
  • the second example of advice, DP3, is generated based on the walking test, the voice test, the drawing test, and the attribute information of the subject.
  • Exercise advice DP3a includes a radar chart regarding the evaluation value of motor function and advice for improving motor function.
  • the radar chart for the evaluation value of the motor function includes the evaluation value for five items of posture, speed, center of gravity, stride length and toe.
  • the advice for improving motor function is, "By developing a sense of balance, you can expect recovery of cognitive function. It tends to lean to the left. Let's walk straight.” Includes specific and detailed advice.
  • Cognitive advice DP3b includes a radar chart regarding the evaluation value of cognitive function and advice for improving cognitive function.
  • the radar chart for the evaluation value of cognitive function includes the evaluation value for five items of pen pressure, speed, spatial grasp, strength and imitation degree.
  • the advice for improving cognitive function is, "By performing walking training on a daily basis, you can expect recovery of not only exercise but also cognitive function. Especially, by focusing on the sense of balance, you will recover. Includes specific and detailed advice: "It's likely.”
  • Vital advice DP3c includes radar charts regarding vital evaluation values and advice for improving vitals.
  • the radar chart for vital evaluation values includes evaluation values for five items: heart rate, blood flow, bone density, muscle mass, and body temperature.
  • the advice for improving vital signs is, "You can expect recovery of cognitive function by raising body temperature. In addition to daily exercise, it is possible to recover by eating foods high in iron and calcium to prevent anemia. Includes specific and detailed advice: "It's highly sexual.”
  • FIG. 6 is a diagram showing a third example DP4 of advice provided by the cognitive function measuring device 10 according to the present embodiment.
  • the third example DP4 of advice includes a radar chart DP4a of evaluation values, a caution DP4b, and an aptitude business DP4c.
  • the third example of advice, DP4 is provided based on at least one of audio data, drawing data, walking data and vital data measured for the subject.
  • the evaluation value radar chart DP4a shows a plurality of evaluation values calculated for the target person, and also shows the average value of the persons engaged in the product delivery business. In this way, by showing the evaluation value of the target person and the average value of the person engaged in the predetermined work in a comparable manner, it becomes easy to grasp the strengths and weaknesses of the target person.
  • Precautions DP4b is an example of advice on business aptitude, and indicates that the target person should pay particular attention when performing a predetermined business. In the case of this example, it is stated that "Be careful of wobbling when putting out the product.”
  • Aptitude work DP4c is an example of advice on work aptitude, and indicates work suitable for the target person.
  • the business performance of "cashiers” is "86”
  • the business performance of "delivery” is "40".
  • the business performance is calculated by inputting a plurality of evaluation values into the business performance prediction model.
  • the work performance prediction model may be, for example, a learning model such as a neural network learned by supervised learning.
  • FIG. 7 is a flowchart of the process executed by the cognitive function measuring device 10 according to the present embodiment.
  • the cognitive function measuring device 10 acquires voice data, drawing data, walking data, and vital data (S10).
  • the cognitive function measuring device 10 calculates a plurality of evaluation values related to the cognitive function based on the voice data, the drawing data, and the walking data (S11). Then, the cognitive function measuring device 10 classifies the subject into one of four or more classes, which is finer than the three classes of the healthy class, the mild cognitive impairment class, and the cognitive impairment class, based on a plurality of evaluation values. (S12).
  • the cognitive function measuring device 10 provides advice based on at least one of voice data, drawing data, walking data, and vital data (S13). In addition, the cognitive function measuring device 10 displays the class to which the subject belongs and the advice (S14). Advice may be provided to the subject, to the subject's family, or to the physician examining the subject.
  • 10 ... Cognitive function measuring device 10a ... CPU, 10b ... RAM, 10c ... ROM, 10d ... Communication unit, 10e ... Input unit, 10f ... Display unit, 11a ... First acquisition unit, 11b ... Second acquisition unit, 11c ... 3rd acquisition unit, 11d ... 4th acquisition unit, 12a ... audio data storage unit, 12b ... drawing data storage unit, 12c ... walking data storage unit, 12d ... vital data storage unit, 13 ... calculation unit, 14 ... classification unit, 15 ... Provider, 20 ... Terminal device, 30 ... Camera, 40 ... Vital sensor, 100 ... Cognitive function measurement system

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Abstract

L'invention concerne un dispositif de mesure de fonction cognitive, un système de mesure de fonction cognitive, un procédé de mesure de fonction cognitive, et un programme de mesure de fonction cognitive, moyennant quoi une variation fine de la fonction cognitive peut être perçue. Le dispositif de mesure de fonction cognitive comprend : une unité d'acquisition pour acquérir des données vocales dans lesquelles une réponse d'un sujet à une question prédéterminée est enregistrée, des données de dessin dans lesquelles une réponse du sujet à un problème de dessin prédéterminé est enregistré, et des données de marche dans lesquelles la marche par le sujet est enregistrée; une unité de calcul pour calculer une pluralité de valeurs d'évaluation concernant une fonction cognitive sur la base des données vocales, des données de dessin et des données de marche; et une unité de classification pour classer le sujet en quatre classes ou plus qui sont plus détaillées que les trois classes d'une classe saine, une classe de déficience cognitive légère et une classe de déficience cognitive sur la base de la pluralité de valeurs d'évaluation.
PCT/JP2019/041177 2019-10-18 2019-10-18 Dispositif de mesure de fonction cognitive, système de mesure de fonction cognitive, procédé de mesure de fonction cognitive, et programme de mesure de fonction cognitive WO2021075061A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114224343A (zh) * 2022-01-13 2022-03-25 平安科技（深圳）有限公司 认知障碍检测方法、装置、设备及存储介质
WO2023275975A1 (fr) * 2021-06-29 2023-01-05 日本電気株式会社 Dispositif d'estimation de fonction cognitive, procédé d'estimation de fonction cognitive et support d'enregistrement

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