Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis

Frontiers in Computational Neuroscience

Volumn 9, Issue MAR, 2015, Pages

  Gajic, Dragoljub ^a,b   Djurovic, Zeljko ^a   Gligorijevic, Jovan ^c   Di Gennaro, Stefano ^b   Savic Gajic, Ivana ^d  

^a University of Belgrade   (Serbia)

^b UNIVERSITY OF L'AQUILA   (Italy)

^c UNIVERSITY OF KRAGUJEVAC   (Serbia)

^d UNIVERSITY OF NI   (Serbia)

Author keywords

Epileptiform activity; Non linear analysis; Quadratic classifiers; Scatter matrices; Seizure detection

Indexed keywords

FREQUENCY BANDS; FREQUENCY DOMAIN ANALYSIS; MATRIX ALGEBRA; SIGNAL PROCESSING;

ELECTROENCEPHALOGRAPHIC SIGNALS; EPILEPTIFORM ACTIVITY; FREQUENCY SUB BAND; QUADRATIC CLASSIFIERS; SCATTER MATRIX; SEIZURE DETECTION; TIME FREQUENCY DOMAIN; TWO-DIMENSIONAL FEATURES;

SIGNAL DETECTION;

ACCURACY; ARTICLE; AUTOMATION; CLASSIFIER; CONTROLLED STUDY; DECISION MAKING; DISEASE ASSOCIATION; ELECTROENCEPHALOGRAM; EPILEPSY; EXPERIMENTAL DESIGN; FREQUENCY ANALYSIS; FREQUENCY DOMAIN ANALYSIS; HUMAN; INFRARED SPECTROSCOPY; MATHEMATICAL MODEL; NONBIOLOGICAL MODEL; NONLINEAR SYSTEM; OUTCOME ASSESSMENT; PROCESS OPTIMIZATION; SIGNAL DETECTION; SIGNAL PROCESSING; TIME DOMAIN ANALYSIS; TIME FREQUENCY DOMAIN ANALYSIS; WAVELET ANALYSIS;

EID: 84927642979     PISSN: None     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2015.00038     Document Type: Article

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