Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection-Reference-Cited by-同舟云学术

Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection

Published:2017-09 Issue: Volume:132 Page:188-203
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Boashash Boualem,Barki Hichem,Ouelha Samir

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

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3. A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals;Boashash;EURASIP J. Adv. Signal Process.,2012

4. Detecting neonatal seizures with computer algorithms;Temko;Clin. Neurophysiol.,2016

5. Time-Frequency Signal Analysis and Processing;Boashash,2016

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