A multistage, multimethod approach for automatic detection and classification of epileptiform EEG

IEEE Transactions on Biomedical Engineering

Volumn 49, Issue 12 I, 2002, Pages 1557-1566

  Liu, He Sheng ^a   Zhang, Tong ^a   Yang, Fu Sheng ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Adaptive filtering; Artificial neural network; Electroencephalogram (EEG); Epilepsy; Wavelet transform

Indexed keywords

EXPERT SYSTEMS; MORPHOLOGY; NEURAL NETWORKS; TRANSIENTS; WAVELET TRANSFORMS;

EPILEPTIC ACTIVITIES;

ELECTROENCEPHALOGRAPHY;

ACCURACY; ADAPTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAM; EPILEPSY; EXPERT SYSTEM; FILTRATION; PERFORMANCE; RECORDING; SIGNAL PROCESSING; SLOW BRAIN WAVE; TIME;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; EXPERT SYSTEMS; FALSE POSITIVE REACTIONS; HUMANS; MONITORING, AMBULATORY; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0036940475     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2002.805477     Document Type: Article

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