Fast Recognition of Motor Imagery EEG Based on Energy Cluster Analysis Method
Hua Gao · Journal of Qingdao University · 2012
In the study of brain-computer interfaces,a method of feature extraction and classification used for two kinds of imaginations was proposed.Euclidean distances between mean energies recorded from channels of the two kinds and the signal energy of the single trial were considered as features,and cluster analysis method was used to determine imagination classes,7-fold cross validation was used to evaluate the performance of classifier.The background of experiment and theoretical foundation were analyzed referring to data sets Ⅲ of BCI 2003 competition,and the classification error was compared with the results of the competition.It is showed that the method has a better efficiency for applying to practical systems.