Entropies based detection of epileptic seizures with artificial neural network classifiers

Expert Systems with Applications

Volumn 37, Issue 4, 2010, Pages 3284-3291

  Pravin Kumar, S ^a   Sriraam, N ^a   Benakop, P G ^b   Jinaga, B C ^c  

^a SSN COLLEGE OF ENGINEERING   (India)

^b Aurora Engineering College   (India)

^c JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

Classification; EEG; Epilepsy; Recurrent neural network; Sample entropy; Spectral entropy; Wavelet entropy

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATED DETECTION; CLASSIFICATION ACCURACY; COMPUTER ASSISTED; CONTINUOUS MONITORING; ELECTROENCEPHALOGRAM SIGNALS; ELMAN NETWORK; EPILEPTIC SEIZURES; NEURAL NETWORK MODEL; NEUROLOGICAL DISORDERS; NONLINEAR FEATURES; NONSTATIONARY SIGNALS; RADIAL BASIS NETWORKS; SAMPLE ENTROPY; SPECTRAL ENTROPY; STATIONARY PROPERTIES; TIME FRAME; WAVELET ENTROPIES;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; RECURRENT NEURAL NETWORKS; SIGNAL DETECTION;

ENTROPY;

EID: 71349088028     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.09.051     Document Type: Article

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