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Identification of cardiac afterload dynamics from data
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- Pigot, Harry (author)
- Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH
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- Hansson, Jonas (author)
- Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH
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- Paskevicius, Audrius (author)
- Lund University,Lunds universitet,Thoraxkirurgi,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Hjärt- och lungtransplantation,Forskargrupper vid Lunds universitet,Thoracic Surgery,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine,Heart and Lung transplantation,Lund University Research Groups
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- Elsevier BV, 2021
- 2021
- English.
- In: IFAC-PapersOnLine. - : Elsevier BV. - 2405-8963. ; 54, s. 508-513
- Journal article (peer-reviewed)
Abstract
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- The prospect of ex vivo functional evaluation of donor hearts is considered. Particularly, the dynamics of a synthetic cardiac afterload model are compared to those of normal physiology. A method for identification of continuous-time transfer functions from sampled data is developed and verified against results from the literature. The method relies on exact gradients and Hessians obtained through automatic differentiation. This also enables straightforward sensitivity analyses. Such analyses reveal that the 4-element Windkessel model is not practically identifiable from representative data while the 3-element model underfits the data. Pressure–volume (PV) loops are therefore suggested as an alternative for comparing afterload dynamics.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
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