Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting
The prevalence and cost of heart disease indicate the need for better methods of detecting, diagnosing and treating this pervasive problem. Appropriate monitoring outside of the hospital can potentially lead to earlier diagnosis and reduced costs. We use electrocardiogram (ECG) and continuous arteri...
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| Format: | Article |
| Language: | en_US |
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American Association for Artificial Intelligence
2013
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| Online Access: | http://hdl.handle.net/1721.1/78931 https://orcid.org/0000-0003-4357-6854 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-9823-8652 https://orcid.org/0000-0002-2446-1499 |
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| author | Haslam, Bryan Todd Gordhandas, Ankit Ricciardi, Catherine E. Heldt, Thomas Verghese, George C. |
| author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
| author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Haslam, Bryan Todd Gordhandas, Ankit Ricciardi, Catherine E. Heldt, Thomas Verghese, George C. |
| author_sort | Haslam, Bryan Todd |
| collection | MIT |
| description | The prevalence and cost of heart disease indicate the need for better methods of detecting, diagnosing and treating this pervasive problem. Appropriate monitoring outside of the hospital can potentially lead to earlier diagnosis and reduced costs. We use electrocardiogram (ECG) and continuous arterial blood pressure (ABP) data collected in an ambulatory setting to examine two important cardiovascular quantities, namely cardiac output (CO) and total peripheral resistance (TPR), over a range of physical activities. CO and TPR can be estimated from heart rate, pulse pressure and mean arterial blood pressure, which in turn are directly obtained from the ECG and ABP signals. More specifically, we employ a wearable cardiac and motion monitor designed by colleagues at MIT to simultaneously record ECG and 3-axis acceleration to onboard memory. The acceleration data is used to generate an estimate of physical activity at each time point. Additionally, we use a Portapres continuous blood pressure monitor to concurrently record the ABP waveform. We present representative results from data collected in a controlled ambulatory setting. Heart rate, mean ABP, CO and TPR responses to physical activity are generally consistent with what might be expected from cardiovascular physiology. The longer-term challenge is to correlate the dynamic behavior of these quantities with the state of cardiac health. |
| first_indexed | 2024-09-23T15:38:11Z |
| format | Article |
| id | mit-1721.1/78931 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:38:11Z |
| publishDate | 2013 |
| publisher | American Association for Artificial Intelligence |
| record_format | dspace |
| spelling | mit-1721.1/789312022-09-29T15:08:01Z Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting Haslam, Bryan Todd Gordhandas, Ankit Ricciardi, Catherine E. Heldt, Thomas Verghese, George C. Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Clinical Research Center Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Haslam, Bryan Todd Gordhandas, Ankit Ricciardi, Catherine E. Heldt, Thomas Verghese, George C. The prevalence and cost of heart disease indicate the need for better methods of detecting, diagnosing and treating this pervasive problem. Appropriate monitoring outside of the hospital can potentially lead to earlier diagnosis and reduced costs. We use electrocardiogram (ECG) and continuous arterial blood pressure (ABP) data collected in an ambulatory setting to examine two important cardiovascular quantities, namely cardiac output (CO) and total peripheral resistance (TPR), over a range of physical activities. CO and TPR can be estimated from heart rate, pulse pressure and mean arterial blood pressure, which in turn are directly obtained from the ECG and ABP signals. More specifically, we employ a wearable cardiac and motion monitor designed by colleagues at MIT to simultaneously record ECG and 3-axis acceleration to onboard memory. The acceleration data is used to generate an estimate of physical activity at each time point. Additionally, we use a Portapres continuous blood pressure monitor to concurrently record the ABP waveform. We present representative results from data collected in a controlled ambulatory setting. Heart rate, mean ABP, CO and TPR responses to physical activity are generally consistent with what might be expected from cardiovascular physiology. The longer-term challenge is to correlate the dynamic behavior of these quantities with the state of cardiac health. Texas Instruments Incorporated United States. Dept. of Defense National Defense Science & Engineering Graduate Fellowship (NDSEG) Program) 2013-05-23T18:06:26Z 2013-05-23T18:06:26Z 2011-03 Article http://purl.org/eprint/type/ConferencePaper 1577354966 9781577354963 Technical Report SS-11-04 http://hdl.handle.net/1721.1/78931 Haslam, Bryan et al. "Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting." Computational Physiology, Papers from the 2011 AAAI Spring Symposium, Technical Report SS-11-04, Stanford, California, USA, March 21-23, 2011. AAAI 2011. https://orcid.org/0000-0003-4357-6854 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-9823-8652 https://orcid.org/0000-0002-2446-1499 en_US http://www.aaai.org/ocs/index.php/SSS/SSS11/paper/view/2497/2901 Papers from the AAAI Spring Symposium 2011 - Computational Physiology Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Association for Artificial Intelligence Verghese via Amy Stout |
| spellingShingle | Haslam, Bryan Todd Gordhandas, Ankit Ricciardi, Catherine E. Heldt, Thomas Verghese, George C. Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting |
| title | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting |
| title_full | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting |
| title_fullStr | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting |
| title_full_unstemmed | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting |
| title_short | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting |
| title_sort | relating noninvasive cardiac output and total peripheral resistance estimates to physical activity in an ambulatory setting |
| url | http://hdl.handle.net/1721.1/78931 https://orcid.org/0000-0003-4357-6854 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-9823-8652 https://orcid.org/0000-0002-2446-1499 |
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