Study of hypertension among UTM staff using analysis of heart rate variability

The occurrence of hypertension around the globe is showing an alarming figure and calls for a mechanism for its early detection. Heart Rate Variability (HRV) analysis can possibly be used as a tool for detecting hypertension due to its appealing non-invasive and quantitative approach. Various resear...

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Main Author: Abdullah Maamuom, Maya
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://eprints.utm.my/id/eprint/79368/1/MayaAbdullahMaamuomMFBME2016.pdf
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spelling my-utm-ep.793682018-10-14T08:44:59Z Study of hypertension among UTM staff using analysis of heart rate variability 2016 Abdullah Maamuom, Maya QH Natural history The occurrence of hypertension around the globe is showing an alarming figure and calls for a mechanism for its early detection. Heart Rate Variability (HRV) analysis can possibly be used as a tool for detecting hypertension due to its appealing non-invasive and quantitative approach. Various research has been done on finding the relationship between HRV and hypertension and generally hypertension is often being related to a decrease in HRV values. However, the results remain inconsistent across measures of gender, age and many other factors. This research aimed to extract HRV features associated to hypertension and investigate the relationship between HRV and hypertension with focus on academic staff. It was carried out by acquiring ECG data from hypertensive and non-hypertensive subjects and extracting HRV signal. This was followed by extracting five time domain and three frequency domain features from the HRV signal. The HRV features were subsequently analysed using statistical approach namely the ROC test, Mann Whitney-U Test and the Spearman Correlation Coefficient Test. Results from the three test done shown that the parameter normalized low frequency (n.u. LF) value can be used to associate between HRV and hypertension. In conclusion, the hypertensive subjects have higher n.u. LF values as compared to the non-hypertensive subjects. However, the limitation of this study is that the number of subjects is relatively small. Therefore, in future, the analysis may be repeated for a larger database. 2016 Thesis http://eprints.utm.my/id/eprint/79368/ http://eprints.utm.my/id/eprint/79368/1/MayaAbdullahMaamuomMFBME2016.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering Faculty of Biosciences and Medical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QH Natural history
spellingShingle QH Natural history
Abdullah Maamuom, Maya
Study of hypertension among UTM staff using analysis of heart rate variability
description The occurrence of hypertension around the globe is showing an alarming figure and calls for a mechanism for its early detection. Heart Rate Variability (HRV) analysis can possibly be used as a tool for detecting hypertension due to its appealing non-invasive and quantitative approach. Various research has been done on finding the relationship between HRV and hypertension and generally hypertension is often being related to a decrease in HRV values. However, the results remain inconsistent across measures of gender, age and many other factors. This research aimed to extract HRV features associated to hypertension and investigate the relationship between HRV and hypertension with focus on academic staff. It was carried out by acquiring ECG data from hypertensive and non-hypertensive subjects and extracting HRV signal. This was followed by extracting five time domain and three frequency domain features from the HRV signal. The HRV features were subsequently analysed using statistical approach namely the ROC test, Mann Whitney-U Test and the Spearman Correlation Coefficient Test. Results from the three test done shown that the parameter normalized low frequency (n.u. LF) value can be used to associate between HRV and hypertension. In conclusion, the hypertensive subjects have higher n.u. LF values as compared to the non-hypertensive subjects. However, the limitation of this study is that the number of subjects is relatively small. Therefore, in future, the analysis may be repeated for a larger database.
format Thesis
qualification_level Master's degree
author Abdullah Maamuom, Maya
author_facet Abdullah Maamuom, Maya
author_sort Abdullah Maamuom, Maya
title Study of hypertension among UTM staff using analysis of heart rate variability
title_short Study of hypertension among UTM staff using analysis of heart rate variability
title_full Study of hypertension among UTM staff using analysis of heart rate variability
title_fullStr Study of hypertension among UTM staff using analysis of heart rate variability
title_full_unstemmed Study of hypertension among UTM staff using analysis of heart rate variability
title_sort study of hypertension among utm staff using analysis of heart rate variability
granting_institution Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering
granting_department Faculty of Biosciences and Medical Engineering
publishDate 2016
url http://eprints.utm.my/id/eprint/79368/1/MayaAbdullahMaamuomMFBME2016.pdf
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