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Published on: June 4, 2020
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Center of pressure metrics derived from spatially registered typically developing data.
B A MacWilliams1, M L McMulkin2, P Saraswat3
1Shriners Hospitals for Children, Salt Lake City, UT, USA; University of Utah, Department of Orthopaedics, Salt Lake City, UT, USA.
Gait & Posture
|November 13, 2019
Summary
New pedobarography metrics, combining plantar pressure and motion capture, accurately assess foot function. These indices show sensitivity to foot pathologies and surgical outcomes, improving clinical gait analysis.
Area of Science:
- Biomechanics
- Clinical Gait Analysis
- Foot Function Assessment
Background:
- Pedobarography is crucial in gait analysis but limited in clinical quantification.
- Spatial registration of plantar pressure and motion capture data enables quantitative assessment.
- Developing metrics from typically developing cohorts is key for clinical application.
Purpose of the Study:
- To validate new center of pressure (COP) based metrics using anatomically registered pedobarography data.
- To evaluate kinematic relationships and metric sensitivity to foot pathologies and interventions.
- To assess the utility of these metrics in planovalgus and cavovarus foot conditions.
Main Methods:
- 3D marker trajectories and plantar pressure data were spatially registered.
- New indices (MLI, |MLI|, MFI, API, |API|) were derived from COP deviations.
- 198 feet were analyzed for pathology spectrum, and planovalgus/cavovarus feet pre/post-surgery.
Main Results:
- Mediolateral indices (MLI, MFI) and anteroposterior index (|API|) differentiated typical from pathological feet (planovalgus, cavovarus).
- MFI and |API| showed significant improvement post-surgery for planovalgus and cavovarus, respectively.
- Mediolateral indices strongly correlated with foot supination (r² > 0.5).
Conclusions:
- Spatially registered pedobarography and motion capture yield robust foot function indices.
- These metrics are sensitive to foot pathologies and surgical treatment outcomes.
- The developed indices enhance quantitative assessment in clinical gait analysis.
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