A Novel Approach for Computing EEG Phase Synchronization: Interchannels Phase Clustering Method

Abstract

EEG is one of the most used devices in brain examinations, provides important information about many neurological diseases. The power of EEG signal's phase synchronization is a parameter that has been commonly used in brain investigations. The Interchannels Phase Clustering (ICPC) method that we propose in our study, is an improved version of the Intertrial Phase Clustering (ICPC) method. Global and regional phase synchronization studies can be done with ICPC method. The method is applied to the signals produced by an EEG simulator and the results are computed with high accuracy. This method can be applied to neuropsychiatric diseases and provide important information on functional connectivity and cognitive functions.