# US 10,478,114 B2 · Brain dysfunction assessment method, brain dysfunction assessment device, and program thereof

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- Number: US 10,478,114 B2
- Document ID: US10478114B2
- Status: Granted
- Kind: B2
- Application number: 14/893,338
- Filed: 2013-09-11
- Published: 2016-04-14
- Granted: 2019-11-19
- Earliest claimed: 2013-09-11
- Assignees: Maxell, Ltd.
- Applicants: Maxell, Ltd.
- Inventors: Yuko Sano; Akihiko Kandori; Kanako Esaki; Kazuhiro Kaizaki; Shinya Katsuki; Kenji Katsumata; Tomohiko Mizuguchi; Yasushi Saito; Tamotsu Nagabayashi; Tomochika Yamashita; Takumi Okamura
- Web page: https://patentgrep.com/patent/US10478114B2

## CPC

- A61B 5/4064: {Evaluating the brain (for intracranial pressure A61B5/031; for cerebral blood gases A61B5/14553; using EEG A61B5/369)}
- A61B 5/1124: {Determining motor skills}
- A61B 5/121: {evaluating hearing capacity}
- A61B 5/4088: {Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia}
- A61B 5/4094: {Diagnosing or monitoring seizure diseases, e.g. epilepsy}
- A61B 5/6898: {Portable consumer electronic devices, e.g. music players, telephones, tablet computers}
- A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick}
- A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals}
- A61B 5/7405: {using sound}
- A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)}
- A61B 2560/0223: of calibration, e.g. protocols for calibrating sensors
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)

## Abstract

A brain dysfunction assessment device (100) comprises: a body movement indicator (10) which presents a body movement to be performed to a subject with a body movement presentation device (2); a body movement data acquisition unit (20) which acquires the subject's body movement data with a body movement detection sensor (3); a body movement accuracy calculation unit (30) which calculates a positional accuracy and a time sequence accuracy of the subject's body movement from the acquired body movement data; and a cognitive dysfunction assessment unit (40) which assesses the level of cognitive dysfunction of the subject by comparing a value which indicates the accuracy of the subject's body movement that is obtained from the calculated positional accuracy and time sequence accuracy with statistical data which indicates the accuracy of body movement of healthy individuals.

## Claims

### Claim 1

A measurement method for cerebral dysfunction evaluation, the method comprising:
providing a subject with a touch enabled computer, wherein the touch enabled computer includes one or more sensors that measure a position of a touch gesture by a first hand or a second hand of the subject;
acquiring, using the one or more sensors, a response time and position accuracy for a plurality of prescribed touch gestures performed by the subject, where the response time and the position accuracy for each of the plurality of prescribed touch gestures are acquired by:
displaying, using the display, a target with a known position on the display,
detecting, using the one or more sensors, a touch gesture performed in response to the displaying,
determining, by a processor of the touch enabled computer, the position of the touch gesture detected,
calculating, by the processor, an elapsed time from the displaying to the detecting as the response time, and
calculating, by the processor, a difference between the known position and the position of the touch gesture performed in response to the displaying as the position accuracy; and
generating evaluation data for cerebral dysfunction evaluation based on a correlation between the response time and the position accuracy for the plurality of prescribed touch gestures performed by the subject.

### Claim 2 (depends on 1)

The method according to claim 1, wherein a calibration process is performed to account for at least one capability of a visual capability, an auditory capability, and a physical capability that the subject individually has.

### Claim 3 (depends on 1)

The method according to claim 1, further comprising:
calculating, by the processor, a cognitive impairment degree of the subject based on the evaluation data.

### Claim 4 (depends on 1)

The method according to claim 1, wherein in the touch gesture performed in response to the displaying is an opening and closing of two fingers of the subject while with the two fingers are kept in touch with the touch enabled computer.

### Claim 5 (depends on 1)

The method according to claim 1, wherein in the response time and the position accuracy for each of the plurality of prescribed touch gestures are further acquired by:
playing, by the touch enabled computer, a sound;
wherein the response time is calculated based on a time from the playing to the detecting.

### Claim 6

A non-transitory computer readable storage medium that stores instructions that when executed by a processor of a touch enabled computer, cause the processor to:
acquire, using one or more sensors of the touch enabled computer, a response time and position accuracy for a plurality of prescribed touch gestures performed by a subject, where the response time and the position accuracy for each of the plurality of prescribed touch gestures are acquired by:
displaying, using the display, a target with a known position on the display,
detecting, using the one or more sensors, a touch gesture performed in response to the displaying,
determining the position of the touch gesture detected,
calculating an elapsed time from the displaying to the detecting as the response time, and
calculating a difference between the known position and the position of the touch gesture detected as the position accuracy; and
generate evaluation data for cerebral dysfunction evaluation based on a correlation between the response time and the position accuracy for the plurality of prescribed touch gestures performed by the subject.

### Claim 7 (depends on 6)

The non-transitory computer readable storage medium according to claim 6, wherein the instructions further cause the processor to: the
perform a calibration process that accounts for at least one capability of a visual capability, an auditory capability, and a physical capability that the subject individually has.

### Claim 8 (depends on 6)

The non-transitory computer readable storage medium according to claim 6, wherein the instructions further cause the processor to:
calculate a cognitive impairment degree of the subject based on the evaluation data.

### Claim 9 (depends on 6)

The non-transitory computer readable storage medium according to claim 6, wherein the touch gesture performed in response to the displaying is an opening and closing of two fingers of the subject while with the two fingers are kept in touch with the touch enabled computer.

### Claim 10 (depends on 6)

The non-transitory computer readable storage medium according to claim 6, wherein the instructions further cause the processor to:
playing, using the touch enabled computer, a sound;
wherein the response time is calculated based on a time from the playing to the detecting.

### Claim 11

A sensor for evaluation of cerebral dysfunction comprising:
a memory;
a display;
one or more sensors that measure a position of a touch gesture by a first hand or a second hand of a subject;
a processor communicatively coupled to memory, the display and the one or more sensors, wherein the processor:
acquires, using the one or more sensors, a response time and position accuracy for a plurality of prescribed touch gestures performed by the subject, where the response time and the position accuracy for each of the plurality of prescribed touch gestures are acquired by:
displaying, using the display, a target with a known position on the display,
detecting, using the one or more sensors, a touch gesture performed in response to the displaying,
determining the position of the touch gesture detected,
calculating an elapsed time from the displaying to the detecting as the response time, and
calculating a difference between the known position and the position of the touch gesture detected as the position accuracy; and
generates evaluation data for cerebral dysfunction evaluation based on a correlation between the response time and the position accuracy for the plurality of prescribed touch gestures performed by the subject.

### Claim 12 (depends on 11)

The sensor according to claim 11, wherein the processor further:
performs a calibration process to account for at least one capability of a visual capability, an auditory capability, and a physical capability that the subject individually has.

### Claim 13 (depends on 1)

The method according to claim 1, further comprising:
storing, in a memory of the touch enabled computer, the evaluation data generated in each of a plurality of time periods; and
displaying a relationship between the evaluation data generated in each of the plurality of time periods by rendering the evaluation data in a graph-like form.

### Claim 14 (depends on 13)

The method according to claim 13, wherein a horizontal axis of the graph-like form indicates information on measurement date and time, and a vertical axis of the graph-like form indicates information on cognitive impairment degree.

### Claim 15 (depends on 6)

The non-transitory computer readable storage medium according to claim 6, wherein the instructions further cause the processor to:
store, the evaluation data generated in each of a plurality of time periods in a memory, and
display a relationship between the evaluation data generated in each of the plurality of time periods by rendering the evaluation data in a graph-like form.

### Claim 16 (depends on 15)

The non-transitory computer readable storage medium according to claim 15, wherein a horizontal axis of the graph-like form indicates information on measurement date and time, and a vertical axis of the graph-like form indicates information on cognitive impairment degree.

### Claim 17 (depends on 11)

The sensor according to claim 11, wherein the processor further:
stores, in the memory, the evaluation data generated in each of a plurality of time periods; and
displays a relationship between the evaluation data generated in each of the plurality of time periods by rendering the evaluation data in a graph-like form.

### Claim 18 (depends on 17)

The sensor according to claim 17, wherein a horizontal axis of the graph-like form indicates information on measurement date and time, and a vertical axis of the graph-like form indicates information on cognitive impairment degree.

### Claim 19 (depends on 1)

The method according to claim 1, wherein the correlation is determined based on a linear analysis.

### Claim 20 (depends on 6)

The non-transitory computer readable storage medium according to claim 6, wherein the correlation is determined based on a linear analysis.