Modeling blood pressure using windkessel model

Healthcare is a fast-growing industry now catering to the increasing demand of people. Blood pressure is an essential parameter for health condition evaluation. Non-invasive and continuous methods for blood pressure measurement support patients to do monitoring in home and hospital. Among them, Wind...

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Main Author: Wang, Chutong
Other Authors: Saman S. Abeysekera
Format: Theses and Dissertations
Language:English
Published: 2019
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Online Access:http://hdl.handle.net/10356/78844
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-788442023-07-04T16:18:48Z Modeling blood pressure using windkessel model Wang, Chutong Saman S. Abeysekera School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Healthcare is a fast-growing industry now catering to the increasing demand of people. Blood pressure is an essential parameter for health condition evaluation. Non-invasive and continuous methods for blood pressure measurement support patients to do monitoring in home and hospital. Among them, Windkessel model is one of the advanced methods used in blood pressure measurement and 2-element Windkessel model has been widely used in the literature. In this dissertation, we work on analyzing and testing few Windkessel models and attempt to develop a more sensitive and accurate Windkessel model. Experimental results that are performed on a standard hospital dataset yield few errors for blood pressure estimation using the basic 2-element Windkessel model. The simulated plots also show the loss of some detailed information. Using the modified Windkessel model, additional features like dicrotic notch can be clearly shown in the simulated signal but with an increase in computational complexity. Master of Science (Signal Processing) 2019-07-23T00:48:09Z 2019-07-23T00:48:09Z 2019 Thesis http://hdl.handle.net/10356/78844 en 70 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Wang, Chutong
Modeling blood pressure using windkessel model
description Healthcare is a fast-growing industry now catering to the increasing demand of people. Blood pressure is an essential parameter for health condition evaluation. Non-invasive and continuous methods for blood pressure measurement support patients to do monitoring in home and hospital. Among them, Windkessel model is one of the advanced methods used in blood pressure measurement and 2-element Windkessel model has been widely used in the literature. In this dissertation, we work on analyzing and testing few Windkessel models and attempt to develop a more sensitive and accurate Windkessel model. Experimental results that are performed on a standard hospital dataset yield few errors for blood pressure estimation using the basic 2-element Windkessel model. The simulated plots also show the loss of some detailed information. Using the modified Windkessel model, additional features like dicrotic notch can be clearly shown in the simulated signal but with an increase in computational complexity.
author2 Saman S. Abeysekera
author_facet Saman S. Abeysekera
Wang, Chutong
format Theses and Dissertations
author Wang, Chutong
author_sort Wang, Chutong
title Modeling blood pressure using windkessel model
title_short Modeling blood pressure using windkessel model
title_full Modeling blood pressure using windkessel model
title_fullStr Modeling blood pressure using windkessel model
title_full_unstemmed Modeling blood pressure using windkessel model
title_sort modeling blood pressure using windkessel model
publishDate 2019
url http://hdl.handle.net/10356/78844
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