Automatic channel selection in EEG signals for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm

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• 作者：Alireza Ghaemi^a ; ^{alirezaghaemi83@gmail.com} ; Esmat Rashedi^a ; ^{e.rashedi@kgut.ac.ir} ; Ali Mohammad Pourrahimi^b ; ^{am.pourrahimi@kmu.ac.ir} ; Mehdi Kamandar^a ; Farhad Rahdari^c
• 关键词：Brain computer interface ; Signal processing ; EEG signals ; Classification ; Channel selection ; Feature extraction ; Improved binary gravitation search algorithm
• 刊名：Biomedical Signal Processing and Control
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：33
• 期：Complete
• 页码：109-118
• 全文大小：2189 K
• 卷排序：33

文摘

This paper presents an automatic method for finding optimal channels in Brain Computer Interfaces (BCIs). Improved Binary Gravitation Search Algorithm (IBGSA) is used to automatically detect the effective electroencephalography (EEG) channels in left or right hand classification. Feature extraction process is carried out by analyzing EEG signals in time and wavelet domains. The maximum accuracy of 80% and average accuracy of 76.24% were obtained using Support Vector Machine (SVM) classifier for eight subjects in BCI competition IV dataset.