Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control
Front Neurosci
.
2022 Apr 25:16:889202.
doi: 10.3389/fnins.2022.889202.
eCollection 2022.
Authors
Ali H Al-Timemy
1
,
Claudio Castellini
2
3
,
Javier Escudero
4
,
Rami Khushaba
5
,
Silvia Muceli
6
Affiliations
1
Biomedical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq.
2
Department of Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
3
DLR - German Aerospace Center, Institute of Robotics and Mechatronics, Cologne, Germany.
4
School of Engineering, Institute for Digital Communications, The University of Edinburgh, Edinburgh, United Kingdom.
5
Australian Center for Field Robotics, University of Sydney, Chippendale, NSW, Australia.
6
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
PMID:
35546883
PMCID:
PMC9082791
DOI:
10.3389/fnins.2022.889202
No abstract available
Keywords:
deep learning; deep neural network; kinematics; myoelectric control; neuroprosthetics.
Publication types
Editorial