Identification of cardiac afterload dynamics from data

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

doi:10.1016/j.ifacol.2021.10.307

Identification of cardiac afterload dynamics from data

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

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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 language	English
Pages (from-to)	508-513
Journal	IFAC-PapersOnLine
Volume	54
DOIs	https://doi.org/10.1016/j.ifacol.2021.10.307
Publication status	Published - 2021
Event	11th IFAC Symposium on Biological and Medical Systems - Ghent, Belgium Duration: 2021 Sept 19 → 2021 Sept 22 https://bms2021.ugent.be/scope.html

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Control Engineering

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10.1016/j.ifacol.2021.10.307

soltesz21cAccepted author manuscript, 404 KB

Hemodynamic Stabilization
Soltesz, K., Sjöberg, T., Paskevicius, A., Pigot, H., Wahlquist, Y. & Sturk, C.
Swedish Government Agency for Innovation Systems (Vinnova), Swedish Research Council
2016/09/01 → 2023/12/31
Project: Research

Cite this

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title = "Identification of cardiac afterload dynamics from data",

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 = "Harry Pigot and Jonas Hansson and Audrius Paskevicius and Qiuming Liao and Trygve Sj{\"o}berg and Stig Steen and Kristian Soltesz",

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doi = "10.1016/j.ifacol.2021.10.307",

language = "English",

volume = "54",

pages = "508--513",

journal = "IFAC-PapersOnLine",

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T1 - Identification of cardiac afterload dynamics from data

AU - Pigot, Harry

AU - Hansson, Jonas

AU - Paskevicius, Audrius

AU - Liao, Qiuming

AU - Sjöberg, Trygve

AU - Steen, Stig

AU - Soltesz, Kristian

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

U2 - 10.1016/j.ifacol.2021.10.307

DO - 10.1016/j.ifacol.2021.10.307

M3 - Article

SN - 2405-8963

VL - 54

SP - 508

EP - 513

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

T2 - 11th IFAC Symposium on Biological and Medical Systems

Y2 - 19 September 2021 through 22 September 2021

ER -

Identification of cardiac afterload dynamics from data

Abstract

Subject classification (UKÄ)

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Hemodynamic Stabilization

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