Current Trends in Deep Learning for Movement Analysis and Prostheses Control

5,363
Total Downloads
29k
Total Views and Downloads

Articles

EDITORIAL

Published on 25 Apr 2022

Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control

Ali H. Al-Timemy
Claudio Castellini
Javier Escudero
Rami Khushaba
Silvia Muceli

doi 10.3389/fnins.2022.889202

1,260 views
1 citation

ORIGINAL RESEARCH

Published on 09 Mar 2022

Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions

Parviz Ghaderi
Marjan Nosouhi
Mislav Jordanic
Hamid Reza Marateb
Miguel Angel Mañanas
Dario Farina

Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions

doi 10.3389/fnins.2022.796711

2,150 views
4 citations

ORIGINAL RESEARCH

Published on 17 Nov 2021

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

Alexander E. Olsson
Nebojša Malešević
Anders Björkman
Christian Antfolk

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

doi 10.3389/fnins.2021.777329

3,129 views
6 citations

ORIGINAL RESEARCH

Published on 19 Aug 2021

A Validation of Supervised Deep Learning for Gait Analysis in the Cat

Charly G. Lecomte
Johannie Audet
Jonathan Harnie
Alain Frigon

A Validation of Supervised Deep Learning for Gait Analysis in the Cat

doi 10.3389/fninf.2021.712623

6,659 views
15 citations

ORIGINAL RESEARCH

Published on 11 Aug 2021

Toward More Robust Hand Gesture Recognition on EIT Data

David P. Leins
Christian Gibas
Rainer Brück
Robert Haschke

Toward More Robust Hand Gesture Recognition on EIT Data

doi 10.3389/fnbot.2021.659311

3,982 views
12 citations

ORIGINAL RESEARCH

Published on 23 Jun 2021

Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals

Diu K. Luu
Anh T. Nguyen
Ming Jiang
Jian Xu
Markus W. Drealan
Jonathan Cheng
Edward W. Keefer
Qi Zhao
Zhi Yang

Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals

doi 10.3389/fnins.2021.667907

4,594 views
16 citations

ORIGINAL RESEARCH

Published on 24 May 2021

Deep Cross-User Models Reduce the Training Burden in Myoelectric Control

Evan Campbell
Angkoon Phinyomark
Erik Scheme

Deep Cross-User Models Reduce the Training Burden in Myoelectric Control

doi 10.3389/fnins.2021.657958

2,773 views
32 citations

Share on

Frontiers in Neuroscience

Frontiers in Neuroscience

Neuroprosthetics

Participating Journals

Frontiers in Neuroinformatics
- 2.5 impact factor
- 4.8 citescore
Frontiers in Neurology
- NeuroprostheticsOffline
- 2.7 impact factor
- 4.9 citescore
Frontiers in Neurorobotics
- 2.6 impact factor
- 5.2 citescore

Impact

29kTopic views
21kArticle views
5,363Article downloads