End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks

End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks

Processing myoelectrical activity in the forearm has for long been considered a promising framework to allow transradial amputees to control motorized prostheses. In spite of expectations, contemporary muscle–computer interfaces built for this purpose typically fail to satisfy one or more important...

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Bibliographic Details
Main Authors: Alexander E. Olsson, Nebojša Malešević, Anders Björkman, Christian Antfolk
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Neuroscience
Subjects:
iEMG
force
deep learning
LSTM
recurrent neural networks
regression
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.777329/full

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