4.6 Article

A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics

Journal

APPLIED SCIENCES-BASEL
Volume 11, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/app11010268

Keywords

EMG; resistive pressure sensor; footprint; center of pressure progression line; microcontroller; smart-shoe; cross-correlation; gait analysis; gait physiology; gait biomechanics

Funding

  1. project 21 PFE [PDI-PFE-CDI 2018]

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The study introduces a wearable monitoring system for the assessment of walking physiology, which aims to objectively evaluate muscle activity during walking by monitoring foot biomechanics. The proposed solution assumes a correlation between plantar pressure and lower-limb muscular activity, and gait physiology is assessed by comparing a gait map to a reference gait template.
Featured Application: A wearable monitoring system for the assessment of walking physiology. Walking is the most basic form of human activity for achieving mobility. As an essential function of the human body, the examination of walking is directed towards the assessment of body mechanics in posture and during movement. This work proposes a wearable smart system for the monitoring and objective evaluation of foot biomechanics during gait. The proposed solution assumes the cross-correlation of the plantar pressure with lower-limb muscular activity, throughout the stance phase of walking. Plantar pressure is acquired with an array of resistive pressure sensors deployed onto a shoe insole along the center of gravity progression line. Lower-limb muscular activity is determined from the electromyogram of the tibialis anterior and gastrocnemius lower limb muscles respectively. Under this scenario, physiological gait assumes the interdependency of plantar pressure on the heel area with activation of the tibialis anterior, as well as plantar pressure on the metatarsal arch/toe area with activation of the gastrocnemius. As such, assessment of gait physiology is performed by comparison of a gait map, formulated based on the footprint-lower-limb muscle cross-correlation results, to a reference gait template. A laboratory proof of concept validates the proposed solution in a test scenario which assumes a normal walking and two pathological walking patterns.

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