Detection of seizures in EEG using subband nonlinear parameters and genetic algorithm

Computers in Biology and Medicine

Volumn 40, Issue 10, 2010, Pages 823-830

  Hsu, Kai Cheng ^a,b   Yu, Sung Nien ^a  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^b Hsu Kai Cheng Neurology Clinic   (Taiwan)

Author keywords

Discrete wavelet transform; Genetic algorithm; Nonlinear parameters; Seizure; Support vector machine

Indexed keywords

CLINICAL SERVICES; FEATURE SUBSET; KERNEL FUNCTION; LINEAR KERNEL FUNCTIONS; NON-LINEAR PARAMETERS; RADIAL BASIS FUNCTIONS; SEIZURE; SEIZURE DETECTION; SUB-BANDS;

DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

GENETIC ALGORITHMS;

ARTICLE; AUTOANALYSIS; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; GENETIC ALGORITHM; HUMAN; INTERMETHOD COMPARISON; NONLINEAR SYSTEM; PRIORITY JOURNAL; SEIZURE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, GENETIC; NONLINEAR DYNAMICS; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77957252563     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2010.08.005     Document Type: Article

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