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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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78844 |
| _version_ | 1811680062384111616 |
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| author | Wang, Chutong |
| author2 | Saman S. Abeysekera |
| author_facet | Saman S. Abeysekera Wang, Chutong |
| author_sort | Wang, Chutong |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T03:19:05Z |
| format | Thesis |
| id | ntu-10356/78844 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:19:05Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Chutong Modeling blood pressure using windkessel model |
| title | 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_short | Modeling blood pressure using windkessel model |
| title_sort | modeling blood pressure using windkessel model |
| topic | Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/78844 |
| work_keys_str_mv | AT wangchutong modelingbloodpressureusingwindkesselmodel |