Motor-Imagery EEG Signal Classification using Optimized Support Vector Machine by Differential Evolution Algorithm
L.A. Fard,
K. Jaseb,
S.M. Mehdi Safi
Abstract:Background: Motor-Imagery (MI) is a mental or cognitive stimulation without actual sensory input that enables the mind to represent perceptual information. This study aims to use the optimized support vector machine (OSVM) by differential evolution algorithm for motor-Imagery EEG signal classification.
Methods: A total of three filters were applied to each signal during the preprocessing phase. The bandstop filter was used to remove urban noise and signal recorders, the median filter to remove random sudden pe… Show more
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