Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal

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Veröffentlicht in:	IEEE Access Jg. 8; S. 98255 - 98265
Hauptverfasser:	Md. Khademul Islam Molla, Abdullah Al Shiam, Md. Rabiul Islam, Toshihisa Tanaka
Format:	Journal Article
Sprache:	Japanisch
Veröffentlicht:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2020
Schlagworte:	Artificial intelligence Blind Source Separation and Independent Component Analysis Brain-Computer Interfaces in Neuroscience and Medicine Brain–computer interface Brain–computer interface (BCI) Cellular and Molecular Neuroscience Cognitive Neuroscience Computer science Deep Learning for EEG Discriminative model EEG Analysis Electrical engineering. Electronics. Nuclear engineering Electroencephalography electroencephalography (EEG) Epilepsy Detection Feature (linguistics) Feature extraction Feature selection Feature vector FOS: Languages and literature FOS: Philosophy, ethics and religion FOS: Psychology k-nearest neighbors algorithm Life Sciences Linguistics machine learning Motor imagery motor imagery (MI) Neural Interface Technology Neuroscience Pattern recognition (psychology) Philosophy Physical Sciences Psychiatry Psychology Signal Decomposition Signal Processing subband decomposition supervised feature selection Support vector machine TK1-9971
ISSN:	2169-3536
Online-Zugang:	Volltext
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