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
AN - SCOPUS:84868584970
SN - 9781467303828
T3 - 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
SP - 274
EP - 279
BT - 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
T2 - 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Y2 - 2 July 2012 through 5 July 2012
ER -