Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure
The purpose of this study was to introduce and validate a new algorithm to estimate instantaneous aortic blood flow (ABF) by mathematical analysis of arterial blood pressure (ABP) waveforms. The algorithm is based on an autoregressive with exogenous input (ARX) model. We applied this algorithm to di...
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| Format: | Article |
| Language: | en_US |
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American Physiological Society
2013
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| Online Access: | http://hdl.handle.net/1721.1/79388 https://orcid.org/0000-0002-4058-3832 https://orcid.org/0000-0002-5573-0137 |
| _version_ | 1826215136565657600 |
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| author | Marini, Robert P. Arai, Tatsuya Lee, Kichang Cohen, Richard J. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Marini, Robert P. Arai, Tatsuya Lee, Kichang Cohen, Richard J. |
| author_sort | Marini, Robert P. |
| collection | MIT |
| description | The purpose of this study was to introduce and validate a new algorithm to estimate instantaneous aortic blood flow (ABF) by mathematical analysis of arterial blood pressure (ABP) waveforms. The algorithm is based on an autoregressive with exogenous input (ARX) model. We applied this algorithm to diastolic ABP waveforms to estimate the autoregressive model coefficients by requiring the estimated diastolic flow to be zero. The algorithm incorporating the coefficients was then applied to the entire ABP signal to estimate ABF. The algorithm was applied to six Yorkshire swine data sets over a wide range of physiological conditions for validation. Quantitative measures of waveform shape (standard deviation, skewness, and kurtosis), as well as stroke volume and cardiac output from the estimated ABF, were computed. Values of these measures were compared with those obtained from ABF waveforms recorded using a Transonic aortic flow probe placed around the aortic root. The estimation errors were compared with those obtained using a windkessel model. The ARX model algorithm achieved significantly lower errors in the waveform measures, stroke volume, and cardiac output than those obtained using the windkessel model (P < 0.05). |
| first_indexed | 2024-09-23T16:17:08Z |
| format | Article |
| id | mit-1721.1/79388 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:17:08Z |
| publishDate | 2013 |
| publisher | American Physiological Society |
| record_format | dspace |
| spelling | mit-1721.1/793882022-09-29T19:22:05Z Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure Marini, Robert P. Arai, Tatsuya Lee, Kichang Cohen, Richard J. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Aerospace Biomedical and Life Support Engineering Massachusetts Institute of Technology. Division of Comparative Medicine Cohen, Richard J. Marini, Robert P. Arai, Tatsuya Lee, Kichang Cohen, Richard J. The purpose of this study was to introduce and validate a new algorithm to estimate instantaneous aortic blood flow (ABF) by mathematical analysis of arterial blood pressure (ABP) waveforms. The algorithm is based on an autoregressive with exogenous input (ARX) model. We applied this algorithm to diastolic ABP waveforms to estimate the autoregressive model coefficients by requiring the estimated diastolic flow to be zero. The algorithm incorporating the coefficients was then applied to the entire ABP signal to estimate ABF. The algorithm was applied to six Yorkshire swine data sets over a wide range of physiological conditions for validation. Quantitative measures of waveform shape (standard deviation, skewness, and kurtosis), as well as stroke volume and cardiac output from the estimated ABF, were computed. Values of these measures were compared with those obtained from ABF waveforms recorded using a Transonic aortic flow probe placed around the aortic root. The estimation errors were compared with those obtained using a windkessel model. The ARX model algorithm achieved significantly lower errors in the waveform measures, stroke volume, and cardiac output than those obtained using the windkessel model (P < 0.05). 2013-07-01T14:45:00Z 2013-07-01T14:45:00Z 2012-03 2011-12 Article http://purl.org/eprint/type/JournalArticle 8750-7587 1522-1601 http://hdl.handle.net/1721.1/79388 Arai, T., K. Lee, R. P. Marini, and R. J. Cohen. Estimation of Changes in Instantaneous Aortic Blood Flow by the Analysis of Arterial Blood Pressure. Journal of Applied Physiology 112, no. 11 (June 1, 2012): 1832-1838. https://orcid.org/0000-0002-4058-3832 https://orcid.org/0000-0002-5573-0137 en_US http://dx.doi.org/10.1152/japplphysiol.01565.2011 Journal of Applied Physiology Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf American Physiological Society Cohen via Courtney Crummett |
| spellingShingle | Marini, Robert P. Arai, Tatsuya Lee, Kichang Cohen, Richard J. Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| title | Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| title_full | Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| title_fullStr | Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| title_full_unstemmed | Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| title_short | Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| title_sort | estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure |
| url | http://hdl.handle.net/1721.1/79388 https://orcid.org/0000-0002-4058-3832 https://orcid.org/0000-0002-5573-0137 |
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