A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis
Payam Shahsavari Baboukani, Ghasem Azemi, Boualem Boashash, Paul Colditz, Amir Omidvarnia
DIGITAL SIGNAL PROCESSING | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2019
Phase synchrony assessment across non-stationary multivariate signals is a useful way to characterize the dynamical behavior of their underlying systems. Traditionally, phase synchrony of a multivariate signal has been quantified by first assessing all pair-wise phase relationships between different channels and then, averaging their phase coupling. This approach, however, may not necessarily provide a full picture of multiple phase ratios within non-stationary signals with time-varying statistical properties. Several attempts have been made to generalize pair-wise phase synchrony concept to multivariate signals. In this paper, we introduce a new measure of generalized phase synchrony based ..View full abstract
Awarded by Qatar Foundation NPRP grants
The newborn data used in this paper were collected in UQCCR as part of three Qatar Foundation NPRP grants (NPRP 4-1303-2-517, NPRP 9-465-2-174 and NPRP 6-885-2-364 awarded to Profs. B. Boashash and P. Colditz).