A Remark on the Most Informative EEG Signal Components in a Super-scalable Method for Functional State Classification based on the Wavelet Decomposition
Titel:
A Remark on the Most Informative EEG Signal Components in a Super-scalable Method for Functional State Classification based on the Wavelet Decomposition
Auteur:
Galatenko, Vladimir V. Livshitz, Eugene D. Staroverov, Vladimir M. Lukashenko, Taras P. Galatenko, Alexey A. Podol'skii, Vladimir E. Sadovnichy, Victor A. Lebedev, Vyacheslav V. Isaychev, Sergey A. Chernorizov, Alexandr M. Zinchenko, Yuriy P.