Intra and Inter Relationships between Biomedical Signals: a VAR Model Analysis

In this paper, electrocardiogram (ECG) analyses were used as valuable a tool in the evaluation of cognitive tasks also given by the electroencephalograms (EEG). By taking and analyzing measurements in large quantities, we tried to better understand the functioning of human physiological systems. This study examined the cognitive and cardiovascular system function simultaneously. The purpose of this paper was to seek statistical causality in the sense of Granger between the EEG and ECG signals based on time series and auto-regressive vector processes (VAR). For this purpose, 24 hours were recorded and during the tests, random and nonstationary portions of the ECG and EEG were extracted. The results indicated that there was Granger causality between the signals. This allowed us to forecast and predict traffic spots within and between the ECG and EEG signals.