Automatic detection of epileptic eeg signals using higher order cumulant features

International Journal of Neural Systems

Volumn 21, Issue 5, 2011, Pages 403-414

  Acharya, U Rajendra ^a   Sree, S Vinitha ^b   Suri, Jasjit S ^c,d  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c Global Biomedical Technologies Inc   (United States)

^d IDAHO STATE UNIVERSITY   (United States)

Author keywords

Classification; cumulants; epilepsy; higher order spectra; wavelet packet decomposition

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC SYSTEMS; CLINICAL INFORMATION; CUMULANTS; DETECTION ACCURACY; DYNAMIC NATURE; EEG RECORDING; EEG SIGNALS; EPILEPSY; EPILEPTIC SEIZURES; HIGH CONFIDENCE; HIGHER ORDER CUMULANTS; HIGHER ORDER SPECTRUM; P-VALUES; WAVELET PACKET DECOMPOSITION;

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

SIGNAL DETECTION;

ARTICLE; CLASSIFICATION; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE;

ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES;

EID: 80053348045     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065711002912     Document Type: Article

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