A CNN-LSTM model for six human ankle movements classification on different loads

A CNN-LSTM model for six human ankle movements classification on different loads

This study aims to address three problems in current studies in decoding the ankle movement intention for robot-assisted bilateral rehabilitation using surface electromyogram (sEMG) signals: (1) only up to four ankle movements could be identified while six ankle movements should be classified to pro...

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Bibliographic Details
Main Authors: Min Li, Jiale Wang, Shiqi Yang, Jun Xie, Guanghua Xu, Shan Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Human Neuroscience
Subjects:
SEMG signal
ankle movement classification
load variation
CNN
LSTM
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2023.1101938/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2023.1101938/full

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