Motion Imaging System for Objective Neurological Assessment
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Solution Overview
Problem
Current methods for assessing and treating motor dysfunction in patients with neurological disorders are subjective, require specialized equipment, and are not suitable for fine motor measurements, often necessitating multiple clinical visits and the use of dedicated sensors and computer systems.
Innovation Solution
A system and method for capturing and analyzing movement and neurological coordination information using automated intelligent computer systems that image and process motion data to generate visual indicators, allowing for remote evaluation and therapy management without the need for specialized sensors or equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized sensors and dedicated computer processing systems are used for assessing motor dysfunction, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses video cameras to capture visual copies of patient movements, which are then processed through computer vision algorithms to extract motion data. This replaces complex specialized sensors with standard video recording equipment, achieving comparable measurement precision through optical copying and digital analysis of movement patterns.
2Measurement precision
If multiple clinical visits are required for comprehensive evaluation, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary assessments through automated video analysis that can be conducted remotely and asynchronously. Motion capture data is collected and analyzed before clinical visits, allowing clinicians to review objective movement data in advance and conduct more focused evaluations during in-person appointments, reducing the need for multiple repetitive visits.
Solution Approach 2:
The system provides automated feedback through detailed motion analysis reports that quantify movement parameters, tremor characteristics, and coordination metrics. This objective feedback enables patients to understand their condition better and allows clinicians to monitor progression or improvement over time without requiring frequent in-person assessments.
3Ease of operation
If subjective scoring by clinicians is used for assessing motor dysfunction, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical system of manual clinical observation and subjective scoring with an automated computer vision system that uses algorithms to objectively analyze video data. The system automatically extracts kinematic parameters, measures movement quality, and quantifies motor dysfunction, eliminating inter-rater variability while maintaining ease of use through automated processing.
4Measurement precision
If specialized equipment is required for fine motor measurements, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system uses standard video cameras and general-purpose computers that are universally available, replacing specialized medical equipment. The same hardware can be used for various assessments including fine motor tasks, gait analysis, and coordination evaluation, making the system accessible in ordinary settings without requiring dedicated medical facilities or specialized devices.
Data Source
AI summary
A motion sensing and capture system to provide to a patient and/or healthcare provider, patient motion data and/or motion impairment data, which can be used as a diagnostic, predictive or therapeutic tool. Such method comprises the steps of: (a) selecting one or more patient motions; (b) using a sensing and capture system to image an initial set comprising the one or more motions to provide an initial set of motion data; and (c) conveying such initial set of motion data to a patient and/or healthcare provider.