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Eeg channel selection techniques in motor imagery applications: A review and new perspectives

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Main Authors: Abdullah, Faye, Ibrahima, Islam, Md Rafiqul
Format: Article
Published: MDPI 2022
Online Access:http://scholars.utp.edu.my/id/eprint/36729/
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id oai:scholars.utp.edu.my:36729
record_format eprints
spelling oai:scholars.utp.edu.my:367292023-07-28T03:24:52Z http://scholars.utp.edu.my/id/eprint/36729/ Eeg channel selection techniques in motor imagery applications: A review and new perspectives Abdullah Faye, Ibrahima Islam, Md Rafiqul MDPI 2022 Article NonPeerReviewed Abdullah and Faye, Ibrahima and Islam, Md Rafiqul (2022) Eeg channel selection techniques in motor imagery applications: A review and new perspectives. Bioengineering, 9 (12). p. 726.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Abdullah
Faye, Ibrahima
Islam, Md Rafiqul
spellingShingle Abdullah
Faye, Ibrahima
Islam, Md Rafiqul
Eeg channel selection techniques in motor imagery applications: A review and new perspectives
author_facet Abdullah
Faye, Ibrahima
Islam, Md Rafiqul
author_sort Abdullah
title Eeg channel selection techniques in motor imagery applications: A review and new perspectives
title_short Eeg channel selection techniques in motor imagery applications: A review and new perspectives
title_full Eeg channel selection techniques in motor imagery applications: A review and new perspectives
title_fullStr Eeg channel selection techniques in motor imagery applications: A review and new perspectives
title_full_unstemmed Eeg channel selection techniques in motor imagery applications: A review and new perspectives
title_sort eeg channel selection techniques in motor imagery applications: a review and new perspectives
publisher MDPI
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/36729/
_version_ 1772814402197651456
score 13.214268

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