New feature extraction approach for epileptic EEG signal detection using time-frequency distributions

Medical and Biological Engineering and Computing

Volumn 48, Issue 4, 2010, Pages 321-330

  Guerrero Mosquera, Carlos ^a   Trigueros, Armando Malanda ^a   Franco, Jorge Iriarte ^a   Navia Vázquez, Ángel ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Detection; Epilepsy; Feature extraction; McAulay Quatieri sinusoidal analysis; Sinwave analysis; Time frequency distributions

Indexed keywords

ANALYSIS TIME; DATA SETS; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; F-SCORE; RECEIVER OPERATING CHARACTERISTICS; SEIZURE DETECTION; SINUSOIDAL ANALYSIS; SINUSOIDAL MODEL; TIME-FREQUENCY DISTRIBUTIONS; WIGNER-VILLE DISTRIBUTION;

DATA PROCESSING; ELECTROENCEPHALOGRAPHY; SIGNAL DETECTION;

FEATURE EXTRACTION;

ADULT; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; ELECTROENCEPHALOGRAPHY; EVALUATION; FOCAL EPILEPSY; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ADULT; ARTIFACTS; ELECTROENCEPHALOGRAPHY; EPILEPSIES, PARTIAL; HUMANS; MODELS, NEUROLOGICAL; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77954459115     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-010-0590-5     Document Type: Article

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