Imaginary hand movement classification using electroencephalography

Imaginary hand movement classification using electroencephalography

© 2017 IEEE. This paper proposes a method to help patients who cannot control their appendicular organs to communicate and to control devices via a binary decision by electroencephalography (EEG). We exploited 12 volunteers' EEG datasets from PhysioNet (EEG Motor Movement/Imaginary Datasets) th...

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Bibliographic Details
Main Authors: Pornwitcha Somsap, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
Format: Conference Proceeding
Published: 2018
Subjects:
Chemical Engineering
Computer Science
Engineering
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050368521&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58407
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Institution: Chiang Mai University

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050368521&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58407

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