Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring
This paper presents a novel method to identify the cardiovascular (CV) system using two distinct peripheral blood pressure (BP) signals. The method can characterize the distinct arterial path dynamics that shape each of the BP signals and recover the common central-flow signal fed to them. A Laguerr...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/52602 https://orcid.org/0000-0003-3155-6223 https://orcid.org/0000-0001-5429-2836 |
| _version_ | 1826205688219566080 |
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| author | McCombie, D. B. Asada, Harry Reisner, Andrew T. Hahn, Jin-Oh Hojman, H. M. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology McCombie, D. B. Asada, Harry Reisner, Andrew T. Hahn, Jin-Oh Hojman, H. M. |
| author_sort | McCombie, D. B. |
| collection | MIT |
| description | This paper presents a novel method to identify the cardiovascular (CV) system using two distinct peripheral blood pressure (BP) signals. The method can characterize the distinct arterial path dynamics that shape each of the BP signals and recover the common central-flow signal fed to them. A Laguerre series data-compression technique is used to obtain a compact representation of the CV system, whose coefficients are identified using the multichannel blind system identification. A Laguerre model deconvolution algorithm is developed to stably recover the central-flow signal. Persistent excitation, model identifiability, and asymptotic variance are analyzed to quantify the method's validity and reliability, without using any direct measurement of central-flow input signal. Experimental results based on 7000 data segments obtained from nine swine subjects show that, for all the swine subjects under diverse physiologic conditions, the CV dynamics can be identified very reliably and the waveform of the central flow can be recovered stably from peripheral BP signals. |
| first_indexed | 2024-09-23T13:17:03Z |
| format | Article |
| id | mit-1721.1/52602 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:17:03Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/526022022-10-01T14:16:37Z Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring McCombie, D. B. Asada, Harry Reisner, Andrew T. Hahn, Jin-Oh Hojman, H. M. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Mechanical Engineering Reisner, Andrew T. McCombie, D. B. Asada, Harry Reisner, Andrew T. Hahn, Jin-Oh two-channel blind system identification (ID) noninvasive CV monitoring Laguerre basis function Cardiovascular (CV) system This paper presents a novel method to identify the cardiovascular (CV) system using two distinct peripheral blood pressure (BP) signals. The method can characterize the distinct arterial path dynamics that shape each of the BP signals and recover the common central-flow signal fed to them. A Laguerre series data-compression technique is used to obtain a compact representation of the CV system, whose coefficients are identified using the multichannel blind system identification. A Laguerre model deconvolution algorithm is developed to stably recover the central-flow signal. Persistent excitation, model identifiability, and asymptotic variance are analyzed to quantify the method's validity and reliability, without using any direct measurement of central-flow input signal. Experimental results based on 7000 data segments obtained from nine swine subjects show that, for all the swine subjects under diverse physiologic conditions, the CV dynamics can be identified very reliably and the waveform of the central flow can be recovered stably from peripheral BP signals. Sharp Corporation 2010-03-15T20:31:40Z 2010-03-15T20:31:40Z 2009-12 2008-11 Article http://purl.org/eprint/type/JournalArticle 1063-6536 http://hdl.handle.net/1721.1/52602 Jin-Oh Hahn et al. “Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring.” Control Systems Technology, IEEE Transactions on 18.1 (2010): 170-176. © 2009 IEEE https://orcid.org/0000-0003-3155-6223 https://orcid.org/0000-0001-5429-2836 en_US http://dx.doi.org/10.1109/TCST.2008.2009996 IEEE Transactions on Control Systems Technology 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 Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | two-channel blind system identification (ID) noninvasive CV monitoring Laguerre basis function Cardiovascular (CV) system McCombie, D. B. Asada, Harry Reisner, Andrew T. Hahn, Jin-Oh Hojman, H. M. Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring |
| title | Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring |
| title_full | Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring |
| title_fullStr | Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring |
| title_full_unstemmed | Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring |
| title_short | Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring |
| title_sort | identification of multichannel cardiovascular dynamics using dual laguerre basis functions for noninvasive cardiovascular monitoring |
| topic | two-channel blind system identification (ID) noninvasive CV monitoring Laguerre basis function Cardiovascular (CV) system |
| url | http://hdl.handle.net/1721.1/52602 https://orcid.org/0000-0003-3155-6223 https://orcid.org/0000-0001-5429-2836 |
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