Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 2, 2008, Pages 512-518

  Ghosh Dastidar, Samanwoy ^a   Adeli, Hojjat ^b   Dadmehr, Nahid ^c  

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c Neurology Inc   (United States)

Author keywords

Chaos; Classification; Electroencephalogram (EEG) subbands; Epilepsy; Principal component analysis; Radial basis function neural network; Wavelet

Indexed keywords

DISEASES; ELECTROENCEPHALOGRAPHY; NEUROLOGY; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY ANALYSIS; WAVELET ANALYSIS;

ELECTROENCEPHALOGRAM (EEG) SUBBANDS; EPILEPSY; SEIZURE DETECTION; STANDARD DEVIATION;

RADIAL BASIS FUNCTION NETWORKS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAM; EPILEPSY; PRINCIPAL COMPONENT ANALYSIS; SEIZURE; SENSITIVITY ANALYSIS;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; EXPERT SYSTEMS; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 38349123053     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.905490     Document Type: Article

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