Cardiac output estimation using arterial blood pressure waveforms
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/41625 |
| _version_ | 1811073596039102464 |
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| author | Sun, James Xin |
| author2 | Roger G. Mark. |
| author_facet | Roger G. Mark. Sun, James Xin |
| author_sort | Sun, James Xin |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. |
| first_indexed | 2024-09-23T09:35:28Z |
| format | Thesis |
| id | mit-1721.1/41625 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:35:28Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/416252019-04-10T18:28:06Z Cardiac output estimation using arterial blood pressure waveforms Sun, James Xin Roger G. Mark. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. Includes bibliographical references (p. 73-74). Cardiac output (CO) is a cardinal parameter of cardiovascular state, and a fundamental determinant of global oxygen delivery. Historically, measurement of CO has been limited to critically-ill patients, using invasive indicator-dilution methods such as thermodilution via Swan-Ganz lines, which carry risks. Over the past century, the premise that CO could be estimated by analysis of the arterial blood pressure (ABP) waveform has captured the attention of many investigators. This approach of estimating CO is minimally invasive, cheap, and can be done continuously as long as ABP waveforms are available. Over a dozen different methods of estimating CO from ABP waveforms have been proposed and some are commercialized. However, the effectiveness of this approach is nebular. Performance validation studies in the past have mostly been conducted on a small set of subjects under well-controlled laboratory conditions. It is entirely possible that there will be circumstances in real world clinical practice in which CO estimation produces inaccurate results. In this thesis, our goals are to (1) build a computational system that estimates CO using 11 of the established methods; (2) evaluate and compare the performance of the CO estimation methods on a large set clinical data, using the simultaneously available thermodilution CO measurements as gold-standard; and (3) design and evaluate an algorithm that identifies and eliminates ABP waveform segments of poor quality. Out of the 11 CO estimation methods studied, there is one method (Liljestrand method) that is clearly more accurate than the rest. Across our study population of 120 subjects, the Liljestrand method has an error distribution with a 1 standard deviation error of 0.8 L/min, which is roughly twice that of thermodilution CO. These results suggest that although CO estimation methods may not generate the most precise values, they are still useful for detecting significant (>1 L/min) changes in CO. by James Xin Sun. M.Eng. 2008-05-19T16:02:24Z 2008-05-19T16:02:24Z 2006 2006 Thesis http://hdl.handle.net/1721.1/41625 216884084 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 74 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Sun, James Xin Cardiac output estimation using arterial blood pressure waveforms |
| title | Cardiac output estimation using arterial blood pressure waveforms |
| title_full | Cardiac output estimation using arterial blood pressure waveforms |
| title_fullStr | Cardiac output estimation using arterial blood pressure waveforms |
| title_full_unstemmed | Cardiac output estimation using arterial blood pressure waveforms |
| title_short | Cardiac output estimation using arterial blood pressure waveforms |
| title_sort | cardiac output estimation using arterial blood pressure waveforms |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/41625 |
| work_keys_str_mv | AT sunjamesxin cardiacoutputestimationusingarterialbloodpressurewaveforms |