Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection

Expert Systems with Applications

Volumn 38, Issue 11, 2011, Pages 14314-14320

  Wang, Deng ^a,b   Miao, Duoqian ^a,b   Xie, Chen ^a,b  

^a TONGJI UNIVERSITY   (China)

^b Department of Computer Science and Technology   (China)

Author keywords

Electroencephalogram (EEG); Epileptic detection; Feature extraction; Hierarchical knowledge base; Wavelet packet entropy

Indexed keywords

10-FOLD CROSS-VALIDATION; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; CROSS VALIDATION; DATA SETS; DIAGNOSIS SYSTEMS; EARLY DETECTION; EEG CLASSIFICATION; EEG SIGNALS; ELECTROENCEPHALOGRAM (EEG); ENTROPY METHODS; EPILEPTIC DETECTION; EPILEPTIC SEIZURE DETECTION; HEALTHY SUBJECTS; HIERARCHICAL KNOWLEDGE; HIERARCHICAL KNOWLEDGE BASE; K-NEAREST NEIGHBORS; REJECTION RATES; THREE STAGES; WAVELET PACKET; WAVELET PACKET COEFFICIENT;

ENTROPY; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION;

ELECTROENCEPHALOGRAPHY;

EID: 79959978998     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.096     Document Type: Article

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