An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals

Ronakben Bhavsar, Neil Davey, Yi Sun, Na Helian

2018

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.

Paper Citation

in Harvard Style

Bhavsar R., Davey N., Sun Y. and Helian N. (2018). An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS; ISBN 978-989-758-279-0, SciTePress, pages 139-146. DOI: 10.5220/0006551001390146

in Bibtex Style

@conference{biosignals18,
author={Ronakben Bhavsar and Neil Davey and Yi Sun and Na Helian},
title={An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS},
year={2018},
pages={139-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006551001390146},
isbn={978-989-758-279-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS
TI - An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals
SN - 978-989-758-279-0
AU - Bhavsar R.
AU - Davey N.
AU - Sun Y.
AU - Helian N.
PY - 2018
SP - 139
EP - 146
DO - 10.5220/0006551001390146
PB - SciTePress