Improvement of EMG Pattern Recognition Model Performance in Repeated Uses by Combining Feature Selection and Incremental Transfer Learning

Electromyography (EMG) pattern recognition is one of the widely used methods to control the rehabilitation robots and prostheses. However, the changes in the distribution of EMG data due to electrodes shifting results in classification decline, which hinders its clinical application in repeated uses...

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Bibliographic Details
Main Authors: Qi Li, Anyuan Zhang, Zhenlan Li, Yan Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neurorobotics
Subjects:
EMG
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2021.699174/full