Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG

Omidvarnia, Amir, Vanhatalo, Sampsa, Mesbah, Mostefa, Azemi, Ghasem, Colditz, Paul and Boashash, Boualem (2012). Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. In: ISSPA 2012 : 2012 11th International Conference on Information Science, Signal Processing and thei Applications. 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012, Montreal, QC Canada, (274-279). 2 - 5 July 2012. doi:10.1109/ISSPA.2012.6310559


Author Omidvarnia, Amir
Vanhatalo, Sampsa
Mesbah, Mostefa
Azemi, Ghasem
Colditz, Paul
Boashash, Boualem
Title of paper Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG
Conference name 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Conference location Montreal, QC Canada
Conference dates 2 - 5 July 2012
Proceedings title ISSPA 2012 : 2012 11th International Conference on Information Science, Signal Processing and thei Applications
Place of Publication Piscataway, NJ United States
Publisher I E E E
Publication Year 2012
Year available 2012
Sub-type Fully published paper
DOI 10.1109/ISSPA.2012.6310559
Open Access Status
ISBN 9781467303828
Start page 274
End page 279
Total pages 6
Collection year 2013
Language eng
Abstract/Summary Inter-hemispheric asynchrony within the multichannel recordings of newborn EEG is associated with abnormal functionality of the newborn brain. Mean Phase Coherence (MPC) as a bivariate phase synchrony measure is widely used for pair-wise comparisons of scalp EEG phase information. A bivariate measure, however, is unlikely to capture the key feature of asynchrony seen in the sick neonatal brain, which is characterized by a global disruption of synchrony. In this study, the concept of cointegration is employed to generalize the bivariate MPC to deal with the multivariate case. The performance of the generalized MPC (GMPC) is evaluated using two simulated signals. It is also tested on a multichannel newborn EEG dataset with asynchronous inter-hemispheric bursts. The proposed method can be used to detect and quantify the degree of inter-hemispheric asynchrony from EEG signals.
Subjects 1706 Computer Science Applications
1711 Signal Processing
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collections: UQ Centre for Clinical Research Publications
Non HERDC
 
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Created: Thu, 28 Nov 2013, 09:17:15 EST by System User on behalf of UQ Centre for Clinical Research