A genetic algorithm based time-frequency approach to a movement prediction task

Abstract

The paper presents an investigation into a genetic algorithm based time-frequency approach for extracting features from the electroencephalogram (EEG) recorded from subjects performing a four-class self-paced movement task, left and right shoulder movement together with left and right foot movement. The objective is to predict left and right movements and… (More)

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