Authors:
Ronakben Bhavsar
;
Neil Davey
;
Yi Sun
and
Na Helian
Affiliation:
University of Hertfordshire, United Kingdom
Keyword(s):
EEG, HRV, Biomedical Signal Processing, Time series Data Analysis, Pearson Correlation, Wavelet Transform, Independent Component Analysis, Feature Extraction, Fast Fourier Transform.
Abstract:
Recently, the correlation between biomedical signals, such as electroencephalograms (EEG) and electrocardiograms
(ECG) time series signals, has been analysed using the Pearson Correlation method. Although
Wavelet Transformations (WT) have been performed on time series data including EEG and ECG signals, so
far the correlation between WT signals has not been analysed. This research shows the correlation between
the EEG and HRV, with and without WT signals. Our results suggest electrical activity in the frontal lobe of
the brain is best correlated with the HRV. We assume this is because the frontal lobe is related to higher mental
functions of the cerebral cortex and responsible for muscle movements of the body. Our results indicate a
positive correlation between Delta, Alpha and Beta frequencies of EEG at both low frequency (LF) and high
frequency (HF) of HRV. This finding is independent of both participants and brain hemisphere.