A comparative study of wavelet families for EEG signal classification

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3051-3057

  Gandhi, Tapan ^a   Panigrahi, Bijay Ketan ^b   Anand, Sneh ^a  

^a India   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Epileptic eeg; Feature extraction; Probabilistic neural network (PNN); Support vector machine (SVM); Wavelet transform

Indexed keywords

BIOMEDICAL SIGNAL; BIORTHOGONAL; BIOSIGNALS; CLASSIFICATION ACCURACY; COMPARATIVE STUDIES; COMPUTATIONAL TIME; COMPUTING EFFICIENCY; DAUBECHIES; DE-NOISING; EEG SIGNAL CLASSIFICATION; EEG SIGNAL PROCESSING; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; FEATURE VECTORS; NONSTATIONARY; PROBABILISTIC NEURAL NETWORKS; STANDARD DEVIATION; SUB-BANDS; SUPPORT VECTOR; WAVELET FUNCTION; WAVELET THEORY;

BIOELECTRIC PHENOMENA; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; NEURAL NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

DISCRETE WAVELET TRANSFORMS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPUTER ANALYSIS; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ENTROPY; PRIORITY JOURNAL; PROBABILITY; SIGNAL DETECTION; SIGNAL PROCESSING; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

EID: 80052931335     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.04.029     Document Type: Article

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