Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions-Reference-Cited by-同舟云学术

Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions

Published:2023 Issue: Volume:31 Page:1997-2005
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Barmpas Konstantinos¹^ORCID,Panagakis Yannis²^ORCID,Bakas Stylianos³^ORCID,Adamos Dimitrios A.¹^ORCID,Laskaris Nikolaos³^ORCID,Zafeiriou Stefanos¹^ORCID

Affiliation:

1. Department of Computing, Imperial College London, London, U.K

2. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

3. School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10093935.pdf?arnumber=10093935

Reference54 articles.

1. Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial