Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer Interfaces
نویسندگان
چکیده
منابع مشابه
Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor imageryrelated features from electroencephalogram (EEG) signals for classifying motor intentions. However, the optimal frequency band and time segment for extracting such features differ from subject to subject. In this work, we aim to improve the multi-class classification and to reduce the required EE...
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ژورنال
عنوان ژورنال: Cognitive Computation
سال: 2016
ISSN: 1866-9956,1866-9964
DOI: 10.1007/s12559-015-9379-z