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dc.contributor.authorBhavsar, Ronakben
dc.contributor.authorDavey, Neil
dc.contributor.authorSun, Yi
dc.contributor.authorHelian, Na
dc.date.accessioned2018-09-04T00:05:18Z
dc.date.available2018-09-04T00:05:18Z
dc.date.issued2018-02-07
dc.identifier.citationBhavsar , 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.citationconference
dc.identifier.isbn978-989-758-279-0
dc.identifier.isbn9789897582790
dc.identifier.otherORCID: /0000-0001-6687-0306/work/64003370
dc.identifier.urihttp://hdl.handle.net/2299/20496
dc.description© 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
dc.description.abstractRecently, 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.extent8
dc.format.extent1161801
dc.language.isoeng
dc.publisherSciTePress
dc.relation.ispartofInternational Conference on Bio-inspired Systems and Signal Processing
dc.subjectBiomedical Signal Processing
dc.subjectEEG
dc.subjectFast Fourier Transform
dc.subjectFeature Extraction
dc.subjectHRV
dc.subjectIndependent Component Analysis
dc.subjectPearson Correlation
dc.subjectTime series Data Analysis
dc.subjectWavelet Transform
dc.subjectSignal Processing
dc.subjectBiomedical Engineering
dc.subjectElectrical and Electronic Engineering
dc.titleAn 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 brainen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionBiocomputation Research Group
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85051735126&partnerID=8YFLogxK
rioxxterms.versionofrecord10.5220/0006551001390146
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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