Classification of motor imagery task based on wavelet packet entropy and support vector machines

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 31, Issue 12, 2010, Pages 2729-2735

  Wang, Yanjing ^a   Qiao, Xiaoyan ^a   Li, Peng ^a   Li, Gang ^b  

^a SHANXI UNIVERSITY   (China)

^b TIANJIN UNIVERSITY   (China)

Author keywords

Brain computer interface; Motor imagery; Mutual information; Support vector machine; Wavelet packet entropy

Indexed keywords

ANTI-INTERFERENCE; CLASSIFICATION OF MOTOR IMAGERY TASK; CLASSIFICATION PERFORMANCE; COMPUTER INTERFACES; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; EVALUATION CRITERIA; FEATURE DATA; KERNEL PARAMETER; MENTAL TASKS; MISCLASSIFICATION RATES; MOTOR IMAGERY; MOTOR IMAGERY EEG; MUTUAL INFORMATION; MUTUAL INFORMATIONS; NONSTATIONARY; RECOGNITION ACCURACY; SEARCH METHOD; SIGNAL TO NOISE; SINGLE TRIAL; TEST RESULTS; TIME-FREQUENCY CHARACTERISTICS; WAVELET PACKET; WAVELET PACKET ENTROPY;

ELECTROENCEPHALOGRAPHY; ENTROPY; FACE RECOGNITION; GEARS; INTERFACES (COMPUTER); SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SUPPORT VECTOR MACHINES; UNCERTAINTY ANALYSIS; VECTORS;

BRAIN COMPUTER INTERFACE;

EID: 79952064067     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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