Motion Capture Angular Analysis for Movement Disorder Diagnosis
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Solution Overview
Problem
Existing diagnostic methods for movement disorders and musculoskeletal disorders lack accuracy due to heterogeneous or homogeneous symptoms of varying intensities, making it difficult to make precise diagnoses and monitor disorder progression.
Innovation Solution
Utilizing angular features derived from motion capture technology to digitally characterize human body movements by tracking markers affixed to specific body parts, analyzing their relative positions, and comparing these features to known geometric patterns to diagnose and monitor disorders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical professionals rely on traditional observation-based diagnosis methods, then the diagnostic process is simple and quick, but the diagnostic accuracy is low due to heterogeneous or homogeneous symptoms of varying intensities
Solution Approach 1:
The patent segments the diagnostic process into multiple components: motion capture data acquisition, angular feature extraction, geometric pattern matching, and confidence score generation. By dividing the complex diagnostic task into these manageable segments, the system achieves high diagnostic accuracy through systematic analysis of movement disorders while maintaining organizational clarity in the diagnostic workflow
Solution Approach 2:
The patent introduces angular features as an intermediary between raw motion capture data and final diagnostic conclusions. These angular features serve as intermediate representations that capture essential movement characteristics, enabling accurate diagnosis by bridging the gap between complex motion data and interpretable diagnostic criteria
2Measurement precision
If medical professionals conduct comprehensive evaluations to improve diagnostic accuracy, then the diagnostic precision improves, but the time required for evaluation increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining geometric patterns associated with specific movement disorders and pre-establishing angular feature calculations. This preparation work is done in advance, allowing the diagnostic system to quickly match observed movements against known patterns during actual evaluation, thereby achieving comprehensive diagnostic precision without proportionally increasing evaluation time
Solution Approach 2:
The patent transforms complex motion capture data into simplified angular parameters that capture essential movement characteristics. By changing the representation from raw three-dimensional motion data to specific angular features, the system maintains diagnostic precision while reducing the computational and temporal complexity of the evaluation process
Data Source
AI summary
Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.