A learnable EEG channel selection method for MI-BCI using efficient channel attention
A learnable EEG channel selection method for MI-BCI using efficient channel attention
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Publisher
Lausanne: Frontiers Research Foundation
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Language
English
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Publisher
Lausanne: Frontiers Research Foundation
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Contents
During electroencephalography (EEG)-based motor imagery-brain-computer interfaces (MI-BCIs) task, a large number of electrodes are commonly used, and consume much computational resources. Therefore, channel selection is crucial while ensuring classification accuracy. This paper proposes a channel selection method by integrating the efficient channe...
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Full title
A learnable EEG channel selection method for MI-BCI using efficient channel attention
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TN_cdi_doaj_primary_oai_doaj_org_article_f7164975258a480e94ff5ed64bd32cec
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f7164975258a480e94ff5ed64bd32cec
Other Identifiers
ISSN
1662-453X,1662-4548
E-ISSN
1662-453X
DOI
10.3389/fnins.2023.1276067
