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.