Cognitive Dysfunction Assessment via Body Movement Accuracy
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Solution Overview
Problem
Conventional cognitive function evaluation systems are biased towards memory-related tasks and fail to assess physical capabilities, making it difficult to detect early-stage dementia through body movement analysis.
Innovation Solution
A method and apparatus that use a data processing device connected to a body movement presenting device and sensor to instruct and detect body movements, calculating positional and time-series accuracy to evaluate cognitive impairment by comparing the subject's performance with statistical data from healthy individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cognitive function evaluation systems are used, then memory-related assessment is improved, but physical capability assessment capability deteriorates
Solution Approach 1:
The evaluation system is designed to perform multiple functions: it can assess both memory-related cognitive functions through traditional tasks and physical capabilities through body movement analysis. The system accommodates various evaluation modes including memory tests, reaction time tests, and detailed body movement analysis, making it a universal platform for comprehensive cognitive and physical assessment.
2Measurement precision
If comprehensive cognitive evaluation is conducted, then assessment accuracy is improved, but examination time increases
Solution Approach 1:
The system automatically captures body movement data through sensors without requiring manual observation or additional examiner time. The evaluation apparatus autonomously processes movement data, calculates accuracy metrics, and generates assessment results, reducing the time burden on examiners while maintaining comprehensive evaluation accuracy.
3Measurement precision
If professional doctor examination is used, then diagnostic accuracy is improved, but operational complexity increases
Solution Approach 1:
The evaluation system serves as an intermediary tool that assists doctors by automatically analyzing body movement data and providing objective measurement results. It bridges the gap between simple self-assessment and complex professional examination, enabling non-experts to conduct preliminary screenings while maintaining diagnostic accuracy through automated analysis and professional interpretation.
4Measurement precision
If cerebral image measurement is used, then brain dysfunction detection capability is improved, but test cost and time increase
Solution Approach 1:
The system replaces complex and expensive cerebral image measurement equipment with simpler motion sensors and processing devices. By substituting mechanical imaging systems with electronic sensor-based movement analysis, the system achieves comparable brain dysfunction detection capability at lower cost and with significantly reduced examination time.
Data Source
AI summary
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.