Determination of Phase Coherence for Prediction of Brain to Heart Maximum Like-Hood Functional Region

Abstract

It has become essential for continuous and close monitoring of heart and brain functioning typically for the treatment of heart and brain abnormalities. In this work, analysis is carried out on coherence between Electrocardiogram (ECG) and Electroencephalogram (EEG) signals over specific frequency bands (0 ­ 35 Hz). For the analysis, ECG and EEG signals are acquired from healthy persons under the age group of 18-35 years at a sampling rate of 1000 samples per second from the PhysioBank. The number of samples used for the analysis of correlation is 5006 for each signal. The EEG signals are picked up from four different positions, namely, frontal, central, parietal and occipital brain regions. A measure of functional association between ECG and EEG signals is interpreted as coherence. The coherence between these signals is investigated by determining the maximum functional like-hood region between the brain and heart signal using maximum mean of phase coherence (PC) algorithm. The results of maximum mean of PC between ECG and EEG signals are reported.