Identification of cardiac afterload dynamics from data

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

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)
17 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)508-513
JournalIFAC-PapersOnLine
Volume54
DOIs
Publication statusPublished - 2021
Event11th IFAC Symposium on Biological and Medical Systems - Ghent, Belgium
Duration: 2021 Sep 192021 Sep 22
https://bms2021.ugent.be/scope.html

Subject classification (UKÄ)

  • Control Engineering

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