Identification of cardiac afterload dynamics from data
(2021) 11th IFAC Symposium on Biological and Medical Systems In IFAC-PapersOnLine 54. p.508-513- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d1f295bb-9a17-49a3-b2bb-495789022830
- author
- Pigot, Harry LU ; Hansson, Jonas LU ; Paskevicius, Audrius LU ; Liao, Qiuming LU ; Sjöberg, Trygve LU ; Steen, Stig LU and Soltesz, Kristian LU
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IFAC-PapersOnLine
- volume
- 54
- pages
- 508 - 513
- publisher
- IFAC Secretariat
- conference name
- 11th IFAC Symposium on Biological and Medical Systems
- conference location
- Ghent, Belgium
- conference dates
- 2021-09-19 - 2021-09-22
- external identifiers
-
- scopus:85120684414
- ISSN
- 2405-8963
- DOI
- 10.1016/j.ifacol.2021.10.307
- project
- Functional ex vivo heart evaluation
- Hemodynamic Stabilization
- language
- English
- LU publication?
- yes
- id
- d1f295bb-9a17-49a3-b2bb-495789022830
- date added to LUP
- 2021-11-03 14:52:00
- date last changed
- 2024-09-08 03:57:34
@article{d1f295bb-9a17-49a3-b2bb-495789022830, abstract = {{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.}}, author = {{Pigot, Harry and Hansson, Jonas and Paskevicius, Audrius and Liao, Qiuming and Sjöberg, Trygve and Steen, Stig and Soltesz, Kristian}}, issn = {{2405-8963}}, language = {{eng}}, pages = {{508--513}}, publisher = {{IFAC Secretariat}}, series = {{IFAC-PapersOnLine}}, title = {{Identification of cardiac afterload dynamics from data}}, url = {{https://lup.lub.lu.se/search/files/109257090/soltesz21c.pdf}}, doi = {{10.1016/j.ifacol.2021.10.307}}, volume = {{54}}, year = {{2021}}, }