Michael Hund, Dominic Böhm, Werner Sturm, Michael Sedlmair, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Trtica Majnarić, Andreas Holzinger
Md. Asadur Rahman, Farzana Khanam, Mohiuddin Ahmad, Mohammad Shorif Uddin
AbstractThis paper proposes a novel feature selection method utilizing Rényi min-entropy-based algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet packet transformation (WPT) is extensively used for feature extraction from electro-encephalogram (EEG) signals. For the case of multiple-class problem, classification accuracy sol...... hiện toàn bộ