Identification of cardiac afterload dynamics from data

Harry Pigot, Jonas Hansson, Audrius Paskevicius, Qiuming Liao, Trygve Sjöberg, Stig Steen, Kristian Soltesz

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

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Sammanfattning

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.
Originalspråkengelska
Sidor (från-till)508-513
TidskriftIFAC-PapersOnLine
Volym54
DOI
StatusPublished - 2021
Evenemang11th IFAC Symposium on Biological and Medical Systems - Ghent, Belgien
Varaktighet: 2021 sep. 192021 sep. 22
https://bms2021.ugent.be/scope.html

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