DNN-Based FES Control for Gait Rehabilitation of Hemiplegic Patients

DNN-Based FES Control for Gait Rehabilitation of Hemiplegic Patients

In this study, we proposed a novel machine-learning-based functional electrical stimulation (FES) control algorithm to enhance gait rehabilitation in post-stroke hemiplegic patients. The electrical stimulation of the muscles on the paretic side was controlled via deep neural networks, which were tra...

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Bibliographic Details
Main Authors: Suhun Jung, Jae Hwan Bong, Seung-Jong Kim, Shinsuk Park
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
functional electrical stimulation
electromyogram
machine learning
muscle fatigue
gait rehabilitation
Online Access:https://www.mdpi.com/2076-3417/11/7/3163

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