Classification and Identification of EEG based Imagery Left-right Hands Movement
Wei Lei · Microprocessors · 2010
Use brain-electrical signal's phenomena of event-related desynchmnization/event-related synchronization(ERS/ERD),aim at its non-stationary random feature,adopt short-time Fourier transform to extract its time-frequently feature.After that,classify the feature with fisher,Artificial Neural Network and support vector machine,and respectively,The correct clssfication rates are 59 percent,70 percent,as well as over 80 percent.Experimental result manifest STFT there can be used for extracting characteristic of the brain electrical signal,and SVM is a great method relatively.