Feature Selection and Classification of EEG Finger Movement Based on Genetic Algorithm

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Date
2018
Author
Al Dabag, M.L.
Ozkurt, N.
Najeeb, S.M.M.
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Abstract
Electroencephalography (EEG) classification for mental tasks is the crucial part of the braincomputer interface. Many studies try to extract discriminative features from EEG signals. In this study, feature selection algorithm based on genetic algorithm (G
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059972164&doi=10.1109%2fASYU.2018.8554029&partnerID=40&md5=67fb6bb7c2246b1c6baf488940c1dcef
https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9924
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