期刊
JOURNAL OF NEURAL ENGINEERING
卷 4, 期 2, 页码 R1-R13出版社
IOP Publishing Ltd
DOI: 10.1088/1741-2560/4/2/R01
关键词
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In this paper we review classification algorithms used to design brain-computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, we compare them in terms of performance and provide guidelines to choose the suitable classification algorithm(s) for a specific BCI.
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