Patent ID: 11883183
Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
Field: Medical technology (Instruments)
Classification: CPC A | IPC A

Claim 3:
4. A cognitive function evaluation method comprising:
acquiring, by a device, body movement data on a detected body movement from a body movement sensor configured to detect the body movement of a subject walking; and
calculating, by the device and in real time while the subject is walking, periodicity of the body movement from the body movement data acquired in the acquiring and identifying a cognitive function level corresponding to the calculated periodicity of the body movement by checking the calculated periodicity of the body movement against reference data that is stored in a storing unit and indicates a relationship between the periodicity of the body movement of a person walking and a cognitive function of the person,
wherein the device calculates the periodicity of the body movement, which is the frequency components of any finite range, wherein the range includes at least 6 Hz,
wherein the at least 6 Hz is a frequency component at a frequency higher than a frequency for walking, the periodicity of the body movement being indicative of a cognitive impairment in the subject,
the device calculating an integral at a frequency higher than the frequency for walking as the periodicity of the body movement,
the body movement data is data on a change in the body movement over time,
the device configured to output an evaluation result indicating the identified cognitive function level and to display the evaluation result, the evaluation result including an image indicating the cognitive function level,
the body movement data is data on a change in acceleration of the body movement over time,
the device is further configured to generate relative position data on a movement of a center of gravity position of the subject from the body movement data and, identify a time period, during which the subject makes a predetermined number of steps while walking, based on the generated relative position data and calculate the step length from the body movement data in the identified time period, the identified time period being a time period after a predetermined time has passed after the subject starts walking, and perform frequency analysis on the body movement data in the identified time period, and
the device is configured to predetermine the predetermined time.