Time-frequency processing of nonstationary signals: advanced tfd design to aid diagnosis with highlights from medical applications

Boashash, Boualem, Azemi, Ghasem and O'Toole, John M. (2013) Time-frequency processing of nonstationary signals: advanced tfd design to aid diagnosis with highlights from medical applications. IEEE Signal Processing Magazine, 30 6: 108-119. doi:10.1109/MSP.2013.2265914


Author Boashash, Boualem
Azemi, Ghasem
O'Toole, John M.
Title Time-frequency processing of nonstationary signals: advanced tfd design to aid diagnosis with highlights from medical applications
Journal name IEEE Signal Processing Magazine   Check publisher's open access policy
ISSN 1053-5888
1558-0792
Publication date 2013
Sub-type Article (original research)
DOI 10.1109/MSP.2013.2265914
Open Access Status
Volume 30
Issue 6
Start page 108
End page 119
Total pages 12
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2014
Language eng
Abstract This article presents a methodical approach for improving quadratic time-frequency distribution (QTFD) methods by designing adapted time-frequency (T-F) kernels for diagnosis applications with illustrations on three selected medical applications using the electroencephalogram (EEG), heart rate variability (HRV), and pathological speech signals. Manual and visual inspection of such nonstationary multicomponent signals is laborious especially for long recordings, requiring skilled interpreters with possible subjective judgments and errors. Automated assessment is therefore preferred for objective diagnosis by using T-F distributions (TFDs) to extract more information. This requires designing advanced high-resolution TFDs for automating classification and interpretation. As QTFD methods are general and their coverage is very broad, this article concentrates on methodologies using only a few selected medical problems studied by the authors.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 35 times in Scopus Article | Citations
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Created: Thu, 28 Nov 2013, 21:09:08 EST by System User on behalf of UQ Centre for Clinical Research