Biokinetographic Sensor System for Objective Movement Diagnosis
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Solution Overview
Problem
Current methods for interpreting human movement in medical contexts are often subjective and fail to capture the full breadth of sensory information, lacking precision and accuracy, which can hinder the diagnosis and assessment of various dysfunctions and health conditions.
Innovation Solution
A system and method utilizing biokinetographic sensors to capture and analyze motion data, converting scalar sums of acceleration values into biokinetographic data, which can automatically compare and diagnose conditions such as Parkinson's disease, hemiparesis, and other dysfunctions, providing objective assessments and prognoses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective clinical impressions are used to interpret movement, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical/subjective assessment system with an automated electronic system using accelerometers and computer algorithms to objectively measure and interpret movement patterns, thereby improving measurement precision while maintaining ease of operation through automated analysis
Solution Approach 2:
The patent introduces biokinetographic data and computer-based analysis as an intermediary between the clinician and the patient's movement, providing objective quantitative data that bridges subjective observation and precise measurement
2Measurement precision
If automated biokinetographic analysis is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional system where a single integrated platform performs data collection, processing, analysis, and interpretation across multiple medical specialties, reducing overall system complexity while maintaining high measurement precision through standardized protocols
Solution Approach 2:
The system incorporates automated algorithms that self-calibrate and self-validate against established criteria, reducing the need for complex manual configuration and maintenance while preserving measurement precision
3Loss of information
If comprehensive motion data collection is performed, then loss of information is reduced, but device complexity increases
Solution Approach 1:
The patent extracts only the essential movement parameters needed for clinical assessment using targeted accelerometer measurements, reducing information loss while avoiding the complexity of comprehensive multi-sensor systems by focusing on key biokinetographic variables
Data Source
AI summary
According to some exemplary embodiments, a method or system can involve associating a plurality of biokinetographic comparison results with a first specific dysfunction from a group of specific dysfunctions, each of the biokinetographic comparison results obtained from a comparison of a biokinetographic value to a standard for a corresponding biokinetographic variable.