Detection of seizure and epilepsy using higher order statistics in the EMD domain

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 2, 2013, Pages 312-318

  Alam, S M Shafiul ^a   Bhuiyan, M I H ^a  

^a BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Bangladesh)

Author keywords

Electroencephalogram (EEG); Empirical mode decomposition (EMD); Epileptic seizure; Neural network

Indexed keywords

BENCHMARKING; BIOMEDICAL SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; NEURAL NETWORKS; NEUROLOGY;

BENCHMARK DATABASE; ELECTRO-ENCEPHALOGRAM (EEG); EMPIRICAL MODE DECOMPOSITION; EPILEPTIC SEIZURES; HIGHER-ORDER; SEIZURE ACTIVITY; STATISTICAL MOMENTS; TIME FREQUENCY ANALYSIS;

HIGHER ORDER STATISTICS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACTUAL DATABASE; HUMAN; METHODOLOGY; SEIZURE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; PROCEDURES; SEIZURES;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; NEURAL NETWORKS (COMPUTER); SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84885157742     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2012.2237409     Document Type: Article

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