dc.contributor.author | Bhavsar, Ronakben | |
dc.contributor.author | Davey, Neil | |
dc.contributor.author | Sun, Yi | |
dc.contributor.author | Helian, Na | |
dc.date.accessioned | 2018-09-04T00:05:18Z | |
dc.date.available | 2018-09-04T00:05:18Z | |
dc.date.issued | 2018-02-07 | |
dc.identifier.citation | Bhavsar , R , Davey , N , Sun , Y & Helian , N 2018 , An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain . in International Conference on Bio-inspired Systems and Signal Processing : Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies . vol. 3: BIOSIGNALS , SciTePress , pp. 139-146 , International Conference on Bio-inspired Systems and Signal Processing , Madeira , Portugal , 19/01/18 . https://doi.org/10.5220/0006551001390146 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-989-758-279-0 | |
dc.identifier.isbn | 9789897582790 | |
dc.identifier.other | ORCID: /0000-0001-6687-0306/work/64003370 | |
dc.identifier.uri | http://hdl.handle.net/2299/20496 | |
dc.description | © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved | |
dc.description.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. | en |
dc.format.extent | 8 | |
dc.format.extent | 1161801 | |
dc.language.iso | eng | |
dc.publisher | SciTePress | |
dc.relation.ispartof | International Conference on Bio-inspired Systems and Signal Processing | |
dc.subject | Biomedical Signal Processing | |
dc.subject | EEG | |
dc.subject | Fast Fourier Transform | |
dc.subject | Feature Extraction | |
dc.subject | HRV | |
dc.subject | Independent Component Analysis | |
dc.subject | Pearson Correlation | |
dc.subject | Time series Data Analysis | |
dc.subject | Wavelet Transform | |
dc.subject | Signal Processing | |
dc.subject | Biomedical Engineering | |
dc.subject | Electrical and Electronic Engineering | |
dc.title | An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Biocomputation Research Group | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85051735126&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.5220/0006551001390146 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |