Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection

Pattern Recognition

Volumn 48, Issue 3, 2015, Pages 616-627

  Boashash, Boualem ^a,b   Azemi, Ghasem ^b   Ali Khan, Nabeel ^a  

^a Qatar University   (Qatar)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Abnormality detection; Newborn EEG artifacts; ROC analysis; Seizure; Time frequency feature extraction

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; BRAIN; EXTRACTION; SIGNAL DETECTION;

ABNORMALITY DETECTION; NEWBORN EEG ARTIFACTS; ROC ANALYSIS; SEIZURE; TIME FREQUENCY FEATURES;

FEATURE EXTRACTION;

EID: 84916629444     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.08.016     Document Type: Article

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