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

Amir Omidvarnia, Sampsa Vanhatalo, Mostefa Mesbah, Ghasem Azemi, Paul Colditz, Boualem Boashash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Pages274-279
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 - Montreal, QC, Canada
Duration: Jul 2 2012Jul 5 2012

Other

Other2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
CountryCanada
CityMontreal, QC
Period7/2/127/5/12

Fingerprint

Electroencephalography
Brain

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

Cite this

Omidvarnia, A., Vanhatalo, S., Mesbah, M., Azemi, G., Colditz, P., & Boashash, B. (2012). Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. In 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (pp. 274-279). [6310559] https://doi.org/10.1109/ISSPA.2012.6310559

Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. / Omidvarnia, Amir; Vanhatalo, Sampsa; Mesbah, Mostefa; Azemi, Ghasem; Colditz, Paul; Boashash, Boualem.

2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012. 2012. p. 274-279 6310559.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Omidvarnia, A, Vanhatalo, S, Mesbah, M, Azemi, G, Colditz, P & Boashash, B 2012, Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. in 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012., 6310559, pp. 274-279, 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012, Montreal, QC, Canada, 7/2/12. https://doi.org/10.1109/ISSPA.2012.6310559
Omidvarnia A, Vanhatalo S, Mesbah M, Azemi G, Colditz P, Boashash B. Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. In 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012. 2012. p. 274-279. 6310559 https://doi.org/10.1109/ISSPA.2012.6310559
Omidvarnia, Amir ; Vanhatalo, Sampsa ; Mesbah, Mostefa ; Azemi, Ghasem ; Colditz, Paul ; Boashash, Boualem. / Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012. 2012. pp. 274-279
@inproceedings{ba7a32804c0144418011f32a86d08dfc,
title = "Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG",
abstract = "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.",
author = "Amir Omidvarnia and Sampsa Vanhatalo and Mostefa Mesbah and Ghasem Azemi and Paul Colditz and Boualem Boashash",
year = "2012",
doi = "10.1109/ISSPA.2012.6310559",
language = "English",
isbn = "9781467303828",
pages = "274--279",
booktitle = "2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012",

}

TY - GEN

T1 - Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG

AU - Omidvarnia, Amir

AU - Vanhatalo, Sampsa

AU - Mesbah, Mostefa

AU - Azemi, Ghasem

AU - Colditz, Paul

AU - Boashash, Boualem

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84868584970&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868584970&partnerID=8YFLogxK

U2 - 10.1109/ISSPA.2012.6310559

DO - 10.1109/ISSPA.2012.6310559

M3 - Conference contribution

SN - 9781467303828

SP - 274

EP - 279

BT - 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

ER -