Research Article

Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms

Table 4

Comparison between the proposed method and previous studies for MI recognition.

Author Electrode number State numberAnalysis methodAC (%)

Brunner [17]224CSP, LDAs65.1
Lu [33]643SCS-NMF, SVM68.9
García-Laencina [34]42BP/HJ/AAR, LFDA77.3
Yi [4]647CAR, CSP, SVM70
This study164wCCA, R-CSP, KNN-SVM87