University of Hertfordshire

By the same authors

Standard

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. / Bhavsar, Ronakben; Davey, Neil; Sun, Yi; Helian, Na.

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, 2018. p. 139-146.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

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

APA

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, pp. 139-146). SciTePress. https://doi.org/10.5220/0006551001390146

Vancouver

Bhavsar R, Davey N, Sun Y, Helian N. 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. 2018. p. 139-146 https://doi.org/10.5220/0006551001390146

Author

Bhavsar, Ronakben ; Davey, Neil ; Sun, Yi ; Helian, Na. / 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. 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, 2018. pp. 139-146

Bibtex

@inproceedings{304e3cd8bc4943dc9afd3e78795a1874,
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",
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.",
keywords = "Biomedical Signal Processing, EEG, Fast Fourier Transform, Feature Extraction, HRV, Independent Component Analysis, Pearson Correlation, Time series Data Analysis, Wavelet Transform",
author = "Ronakben Bhavsar and Neil Davey and Yi Sun and Na Helian",
note = "{\circledC} 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved",
year = "2018",
month = "2",
day = "7",
doi = "10.5220/0006551001390146",
language = "English",
isbn = "978-989-758-279-0",
volume = "3: BIOSIGNALS",
pages = "139--146",
booktitle = "International Conference on Bio-inspired Systems and Signal Processing",
publisher = "SciTePress",

}

RIS

TY - GEN

T1 - An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals

T2 - The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain

AU - Bhavsar, Ronakben

AU - Davey, Neil

AU - Sun, Yi

AU - Helian, Na

N1 - © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

PY - 2018/2/7

Y1 - 2018/2/7

N2 - 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.

AB - 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.

KW - Biomedical Signal Processing

KW - EEG

KW - Fast Fourier Transform

KW - Feature Extraction

KW - HRV

KW - Independent Component Analysis

KW - Pearson Correlation

KW - Time series Data Analysis

KW - Wavelet Transform

UR - http://www.scopus.com/inward/record.url?scp=85051735126&partnerID=8YFLogxK

U2 - 10.5220/0006551001390146

DO - 10.5220/0006551001390146

M3 - Conference contribution

SN - 978-989-758-279-0

VL - 3: BIOSIGNALS

SP - 139

EP - 146

BT - International Conference on Bio-inspired Systems and Signal Processing

PB - SciTePress

ER -