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Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features

  • Published:2020-03-03 Issue: Volume:8 Page:
  • ISSN:2296-4185
  • Container-title:Frontiers in Bioengineering and Biotechnology
  • language:
  • Short-container-title:Front. Bioeng. Biotechnol.

Author:

Côté-Allard Ulysse,Campbell Evan,Phinyomark Angkoon,Laviolette François,Gosselin Benoit,Scheme Erik

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference96 articles.

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3. The history began from alexnet: a comprehensive survey on deep learning approaches;Alom;arXiv [Preprint] arxiv,2018

4. Improving the performance against force variation of EMG controlled multifunctional upper-limb prostheses for transradial amputees;Al-Timemy;IEEE Trans. Neural Syst. Rehabil. Eng.,2015

5. Electromyographic comparison of barbell deadlift, hex bar deadlift, and hip thrust exercises: a cross-over study;Andersen;J. Strength Condit. Res.,2018
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