Abstract

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.

Highlights

  • Walking is the most basic form of human activity aimed for achieving mobility

  • Higher pressure values under the forefoot were determined for black participants when compared with white (t = 0.000, p < 0.05, d = 0.78) and coloured (t = 0.026, p < 0.05, d = 0.35) participants Lower pressure values under the midfoot region were obtained for white participants compared with black (t = 0.003, p < 0.05, d = 0.94) and coloured (t = 0.02, p < 0.05, d = 0.58) participants n.a. 10: (1) the hallux, (2) lateral toes, (3–7) metatarsal 1–5, (8) midfoot, (9) medial heel, and (10) lateral heel

  • The subject performed 5 trials of steady-state walking exercises to understand the required activity and one trial steady-state walking for subsequent analysis with the proposed gait monitoring system

Read more

Summary

Introduction

Walking is the most basic form of human activity aimed for achieving mobility. As an essential function of the human body, examination and treatment procedures of walking are directed towards the preservation and restauration of good body mechanics in posture and in movement. Good body mechanics requires adequate joint range of motion, normal flexibility, a good neuro-muscular control, and even a good proprioception, all built on a good and healthy posture [1,2]. We have proposed a smart-shoe architecture based on an array of resistive pressure sensors and an electromyogram (EMG) acquisition frontend, aiming for gait monitoring in the context of activity. The extension of the smart-shoe architecture proposed in this paper targets the assessment of foot biomechanics during gait by cross-correlation of plantar pressures with corresponding lower-limb EMG signals

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call