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

Author:

Boashash Boualem,Azemi Ghasem,Ali Khan Nabeel

Funder

Qatar National Research Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

1. Time–frequency processing of nonstationary signals;Boashash;IEEE Signal Process. Mag.,2013

2. Image change detection algorithms;Radke;IEEE Trans. Image Process.,2005

3. Time–Frequency Signal Analysis and Processing: A Comprehensive Reference,2003

4. B. Boashash, T. Ben-Jabeur, Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection, in: 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), July 2012, pp. 354–359.

5. J.J. Volpe, Neurology of the Newborn, vol. 899, Elsevier Health Sciences, 2008.

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