Improved ensemble average approach for systolic blood pressure estimation

There are many existing wearable devices which are meant to measure blood pressure and heart rate using the Electrocardiogram (ECG) and Photoplethysmogram (PPG), and can be worn on the wrist or finger. However, the future trend of wearable devices is moving towards head-mounted devices. Pulse wave t...

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Main Author:	Silvadorai, Kahuthaman
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/96436/1/KahuthamanSilvadoralMSC2019.pdf.pdf
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spelling	my-utm-ep.964362022-07-24T09:55:04Z Improved ensemble average approach for systolic blood pressure estimation 2019 Silvadorai, Kahuthaman QA75 Electronic computers. Computer science There are many existing wearable devices which are meant to measure blood pressure and heart rate using the Electrocardiogram (ECG) and Photoplethysmogram (PPG), and can be worn on the wrist or finger. However, the future trend of wearable devices is moving towards head-mounted devices. Pulse wave transit time (PWTT) is used as a non-invasive and cuffless method for blood pressure estimation. Therefore, a question needs to be asked if Systolic Blood Pressure (SBP) can be measured or estimated from ECG and PPG recordings from the head. In this study, ECG signals from the head were first extracted by using improved ensemble averaging approach to compute for the PWTThead with reference to the Photoplethysmogram (PPG) signals from the earlobe. The chest ECG signals (lead II) and fingertip Photoplethysmogram (PPG) signals were simultaneously recorded with the head recordings and earlobe PPG to be used as reference signals to measure the PWTTchest from the chest and to verify the performance of the PWTThead measured from the head. The results obtained were analyzed by using regression plots, Bland-Altman plots and hypothesis test. The mean error ±SD (standard deviation) based on PWTThead for the 7 different recorded positions were from -90° Finger position, Sit Rest position, Stand Rest position, 45° head position, Supine position, 45° finger position and 90° head position. The mean error ±SD for -90° Finger position (2.6364 ± 2.5406 mmHg) and Sit Rest position (2.8182 ± 2.6007 mmHg) were within the ANSI.AAMI SP10:2002 standards for noninvasive blood pressure accuracy (±5[mmHg] mean error, 8[mmHg] standard deviations). Overall, this research has contributed a new ensemble based approach to estimate SBP from the head by extracting head ECG using earlobe PPG. 2019 Thesis http://eprints.utm.my/id/eprint/96436/ http://eprints.utm.my/id/eprint/96436/1/KahuthamanSilvadoralMSC2019.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143445 masters Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Silvadorai, Kahuthaman Improved ensemble average approach for systolic blood pressure estimation
description	There are many existing wearable devices which are meant to measure blood pressure and heart rate using the Electrocardiogram (ECG) and Photoplethysmogram (PPG), and can be worn on the wrist or finger. However, the future trend of wearable devices is moving towards head-mounted devices. Pulse wave transit time (PWTT) is used as a non-invasive and cuffless method for blood pressure estimation. Therefore, a question needs to be asked if Systolic Blood Pressure (SBP) can be measured or estimated from ECG and PPG recordings from the head. In this study, ECG signals from the head were first extracted by using improved ensemble averaging approach to compute for the PWTThead with reference to the Photoplethysmogram (PPG) signals from the earlobe. The chest ECG signals (lead II) and fingertip Photoplethysmogram (PPG) signals were simultaneously recorded with the head recordings and earlobe PPG to be used as reference signals to measure the PWTTchest from the chest and to verify the performance of the PWTThead measured from the head. The results obtained were analyzed by using regression plots, Bland-Altman plots and hypothesis test. The mean error ±SD (standard deviation) based on PWTThead for the 7 different recorded positions were from -90° Finger position, Sit Rest position, Stand Rest position, 45° head position, Supine position, 45° finger position and 90° head position. The mean error ±SD for -90° Finger position (2.6364 ± 2.5406 mmHg) and Sit Rest position (2.8182 ± 2.6007 mmHg) were within the ANSI.AAMI SP10:2002 standards for noninvasive blood pressure accuracy (±5[mmHg] mean error, 8[mmHg] standard deviations). Overall, this research has contributed a new ensemble based approach to estimate SBP from the head by extracting head ECG using earlobe PPG.
format	Thesis
qualification_level	Master's degree
author	Silvadorai, Kahuthaman
author_facet	Silvadorai, Kahuthaman
author_sort	Silvadorai, Kahuthaman
title	Improved ensemble average approach for systolic blood pressure estimation
title_short	Improved ensemble average approach for systolic blood pressure estimation
title_full	Improved ensemble average approach for systolic blood pressure estimation
title_fullStr	Improved ensemble average approach for systolic blood pressure estimation
title_full_unstemmed	Improved ensemble average approach for systolic blood pressure estimation
title_sort	improved ensemble average approach for systolic blood pressure estimation
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2019
url	http://eprints.utm.my/id/eprint/96436/1/KahuthamanSilvadoralMSC2019.pdf.pdf
_version_	1747818668056641536

Improved ensemble average approach for systolic blood pressure estimation

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