Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 9, 2007, Pages 1545-1551

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

^a Ohio State University   (United States)

^b 470 Hitchcock Hall ^*

Author keywords

Chaos; EEG sub bands; Epilepsy; Neural network classification; Wavelet

Indexed keywords

CHAOS THEORY; ELECTROENCEPHALOGRAPHY; NEURAL NETWORKS; WAVELET ANALYSIS;

BAND-SPECIFIC ANALYSIS; EPILEPSY; LYAPUNOV EXPONENT; STANDARD DEVIATION;

DISEASES;

ALPHA RHYTHM; ARTICLE; BETA RHYTHM; CORRELATION ANALYSIS; DATA ANALYSIS; DELTA RHYTHM; DIAGNOSTIC VALUE; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAM; EPILEPSY; GAMMA RHYTHM; HUMAN; NERVE CELL NETWORK; SEIZURE; TECHNIQUE; THETA RHYTHM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; EPILEPSY; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 34547573516     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.891945     Document Type: Article

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