Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand.

Objective: This study aimed to find effective approaches to electroencephalographic (EEG) signal analysis and resolve problems of real and imaginary finger movement pattern recognition and categorization for one hand. Methods and Materials: Eight right-handed subjects (mean age 32.8 [SD=3.3] years)...

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Bibliographic Details

Published in:	Artificial Intelligence in Medicine Vol. 63; no. 2; pp. 107 - 118
Main Authors:	Sonkin, Konstantin M, Stankevich, Lev A, Khomenko, Julia G, Nagornova, Zhanna V, Shemyakina, Natalia V
Format:	Journal Article
Published:	Elsevier B.V. Feb2015
Online Access:	View this record in EBSCOhost