A reliable approach to distinguish between transient with and without HFOs using TQWT and MCA

Journal of Neuroscience Methods

Volumn 232, Issue , 2014, Pages 36-46

  Chaibi, Sahbi ^a   Lajnef, Tarek ^a   Sakka, Zied ^a   Samet, Mounir ^a   Kachouri, Abdennaceur ^a,b  

^a UNIVERSITY OF SFAX   (Tunisia)

^b UNIVERSITY OF GABES   (Tunisia)

Author keywords

Complex Morlet wavelet (CMW); Epilepsy; High frequency oscillations (HFOs); Morphological component analysis (MCA); Transient with HFOs (TWH); Transient without HFOs (TWHH); Tunable Q factor wavelet transform (TQWT)

Indexed keywords

ALGORITHM; ARTICLE; COMPLEX MORLET WAVELET; DATA BASE; ELECTROENCEPHALOGRAM; EPILEPTOGENESIS; HIGH FREQUENCY OSCILLATION; MATHEMATICAL ANALYSIS; MORPHOLOGICAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; TRANSIENT WITH HIGH FREQUENCY OSCILLATION; TRANSIENT WITHOUT HIGH FREQUENCY OSCILLATION; TUNABLE Q FACTOR WAVELET TRANSFORM; WAVELET ANALYSIS; ANIMAL; BRAIN; ELECTROENCEPHALOGRAPHY; HUMAN; PHYSIOLOGY;

ALGORITHMS; ANIMALS; BRAIN; BRAIN WAVES; ELECTROENCEPHALOGRAPHY; HUMANS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84901014722     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2014.04.025     Document Type: Article

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