Study of functional electrical stimulation onset based on gait events and sEMG
Functional electrical stimulation during foot drop walking can help patients restore their nor-mal walking ability.Therefore,it is very important to accurately determine the on-time of functional electrical stimulation.To address this problem,this paper used the angular velocity of the lower limbs and surface electromyography(sEMG)signals during walking to explore a method of controlling the delay relationship between gait events and muscle action points as a control strategy for the accurate determination of functional electrical stimulation onset during foot drop walking.According to the characteristics of gait information and sEMG signals,this paper designed a wireless acquisition device,and then divided the angular velocity data of the thighs into gait events.The experimental results show that the gait event division has good consistency.The fuzzy entropy algorithm was used to de-termine the muscle movement onset Tmuscle from the denoised sEMG signals,to determine the delay re-lationship between Tmuscle and toe off(TO),and to determine the electrical stimulation onset T.n by combining the delineated gait event characteristic points.This study provides a new identification method for the accurate onset of functional electrical stimulation in foot drop treatment.
gait analysissurface electromyography(sEMG)fuzzy entropyfunctional electrical stim-ulation onsetfoot drop
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