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

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Title
Principles of time–frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection
Authors
Keywords
Time–frequency feature extraction, Abnormality detection, Seizure, Newborn EEG artifacts, ROC analysis
Journal
PATTERN RECOGNITION
Volume 48, Issue 3, Pages 616-627
Publisher
Elsevier BV
Online
2014-08-27
DOI
10.1016/j.patcog.2014.08.016

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