Contactless Motor Function Assessment System
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Solution Overview
Problem
Current motor function assessment systems for patients with brain diseases are subjective and lack accuracy, relying on clinician judgment and requiring multiple sensors, which can be cumbersome and inconvenient, especially for those with muscle contractures.
Innovation Solution
A motor function assessment system that uses contactless sensors to acquire human body exercise information, processes it with a processor to extract features and analyze target motions, and calculates a final assessment score using machine learning, minimizing the number of sensors needed and providing objective, accurate scoring independent of extensive patient data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to sense human body exercise information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing functions (joint position, joint orientation, grasp state, grasp force) into a single integrated sensor unit that can capture all necessary motor function assessment data through one device, eliminating the need for multiple separate sensors while maintaining comprehensive measurement capability
Solution Approach 2:
The sensor is designed to perform multiple assessment functions simultaneously - detecting joint positions, orientations, grasp states, and forces - making it a universal sensor that replaces multiple specialized sensors and simplifies the overall assessment system
2Ease of operation
If contactless sensors are used, then ease of operation is improved for patients with muscle contractures, but measurement precision may deteriorate
Solution Approach 1:
The patent replaces direct mechanical contact sensors with contactless sensing technology that uses fields (such as electromagnetic fields) to detect joint positions, orientations, and grasp parameters without physically touching the patient, thereby eliminating discomfort for those with muscle contractures while maintaining measurement accuracy through advanced signal processing
3Ease of operation
If subjective clinician judgment is used for FMA assessment, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system enables self-assessment capability where the automated sensor-based system objectively measures and evaluates motor function parameters without requiring subjective clinician interpretation, allowing the assessment to be performed independently while maintaining high precision through algorithmic analysis of sensor data
Solution Approach 2:
The system incorporates automated feedback mechanisms where sensor data is continuously processed and converted into objective assessment scores, providing real-time, data-driven feedback that replaces subjective judgment with quantifiable, repeatable measurements
Data Source
AI summary
Disclosed is system for assessing a motor function, the system including a sensor configured to acquire human body exercise information including a joint position, a joint orientation, a grasp state, or a grasp force, a processor configured to extract an exercise feature for analyzing a human body motion time and human body motion information based on the acquired human body exercise information, analyze at least one target motion for assessment based on a set assessment condition using the extracted exercise feature, classify an assessment factor of the at least one target motion for assessment as a success or a failure, and determine a final assessment score of the at least one target motion for assessment based on the classified assessment factor, and a display configured to display the final assessment score.