Quantifying EEG synchrony using copulas

In this paper, we consider the problem of quantifying synchrony between multiple simultaneously recorded electroencephalographic signals. These signals exhibit nonlinear dependencies and nonGaussian statistics. A copula based approach is presented to model the joint statistics. We then consider the application of copula derived synchrony measures for early diagnosis of Alzheimer’s disease. Results on real data are presented.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Satish G. Iyengar, Justin Dauwels, Pramod K. Varshney, Andrzej Cichocki
• Keywords: Copula Based Approach, Electroencephalographic Signals, ICASSP 2010, Signal Processing, Synchrony