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Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
Published on: January 15, 2016
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Combined gait asymmetry metric
Summary
A new Combined Gait Asymmetry Metric uses Mahalanobis distance to assess gait symmetry. This metric offers a comprehensive view of asymmetry, improving evaluation of gait patterns in individuals with physical impairments.
Area of Science:
- Biomechanics
- Gait Analysis
- Rehabilitation Engineering
Background:
- Individuals with physical impairments frequently exhibit asymmetric gait patterns.
- Assessing improvements in gait symmetry during interventions requires a simple, comprehensive metric.
- Existing methods may focus on limited parameters, potentially overlooking overall gait dynamics.
Purpose of the Study:
- To introduce a novel Combined Gait Asymmetry Metric (CGAM) for evaluating overall gait symmetry.
- To demonstrate the utility of the CGAM in classifying gait patterns based on multiple asymmetry measures.
- To provide a straightforward metric applicable to various gait parameters for intervention assessment.
Main Methods:
- The Combined Gait Asymmetry Metric is developed using Mahalanobis distance applied to multiple gait parameters.
- Able-bodied subjects underwent perturbations simulating impairments (altered leg length, ankle weights).
- Mahalanobis distances were calculated relative to a perfect symmetry baseline to quantify asymmetry.
Main Results:
- The CGAM effectively quantifies asymmetry introduced by different perturbations.
- Analysis using the CGAM provides a more holistic perspective on gait asymmetry than individual parameter analysis.
- The metric demonstrated sensitivity to changes in gait symmetry under simulated impairment conditions.
Conclusions:
- The Combined Gait Asymmetry Metric offers a robust and simple method for evaluating gait symmetry.
- This metric can enhance the assessment of gait improvement in individuals undergoing physical rehabilitation.
- The CGAM is extensible to incorporate a wide range of spatiotemporal, kinematic, and kinetic parameters for comprehensive gait analysis.

