The University of Southampton
University of Southampton Institutional Repository

Influence of myocardial infarction on QRS properties: a simulation study

Influence of myocardial infarction on QRS properties: a simulation study
Influence of myocardial infarction on QRS properties: a simulation study

The interplay between structural and electrical changes in the heart after myocardial infarction (MI) plays a key role in the initiation and maintenance of arrhythmia. The anatomical and electrophysiological properties of scar, border zone, and normal myocardium modify the electrocardiographic morphology, which is routinely analysed in clinical settings. However, the influence of various MI properties on the QRS is not intuitively predictable. In this work, we have systematically investigated the effects of 17 post-MI scenarios, varying the location, size, transmural extent, and conductive level of scarring and border zone area, on the forward-calculated QRS. Additionally, we have compared the contributions of different QRS score criteria for quantifying post-MI pathophysiology. The propagation of electrical activity in the ventricles is simulated via a Eikonal model on a unified coordinate system. The analysis has been performed on 49 subjects, and the results imply that the QRS is capable of identifying MI, suggesting the feasibility of inversely reconstructing infarct regions from QRS. There exist sensitivity variations of different QRS criteria for identifying 17 MI scenarios, which is informative for solving the inverse problem.

Cardiac Digital Twin, Myocardial Infarction, Sensitivity Analysis, Simulation
0302-9743
223-232
Springer Cham
Li, Lei
2da88502-0bd8-4e6b-8f7d-0c01a48b399e
Camps, Julia
3d855b40-6c59-4461-a930-2027bc5b5e48
Wang, Zhinuo
9d4da7bd-f364-41f1-bff4-191f31b06042
Banerjee, Abhirup
38c4aeb6-9b4d-48cc-bd6b-82137dfbd295
Rodriguez, Blanca
5957341d-390e-42f1-b725-8d625a1e539c
Grau, Vicente
c6992187-7840-45ce-93a0-d54d06031c7d
Bernard, Olivier
Clarysse, Patrick
Duchateau, Nicolas
Ohayon, Jacques
Viallon, Magalie
et al.
Li, Lei
2da88502-0bd8-4e6b-8f7d-0c01a48b399e
Camps, Julia
3d855b40-6c59-4461-a930-2027bc5b5e48
Wang, Zhinuo
9d4da7bd-f364-41f1-bff4-191f31b06042
Banerjee, Abhirup
38c4aeb6-9b4d-48cc-bd6b-82137dfbd295
Rodriguez, Blanca
5957341d-390e-42f1-b725-8d625a1e539c
Grau, Vicente
c6992187-7840-45ce-93a0-d54d06031c7d
Bernard, Olivier
Clarysse, Patrick
Duchateau, Nicolas
Ohayon, Jacques
Viallon, Magalie

Li, Lei, Camps, Julia and Wang, Zhinuo , et al. (2023) Influence of myocardial infarction on QRS properties: a simulation study. Bernard, Olivier, Clarysse, Patrick, Duchateau, Nicolas, Ohayon, Jacques and Viallon, Magalie (eds.) In Functional Imaging and Modeling of the Heart: 12th International Conference, FIMH 2023, Lyon, France, June 19–22, 2023, Proceedings. vol. 13958, Springer Cham. pp. 223-232 . (doi:10.1007/978-3-031-35302-4_23).

Record type: Conference or Workshop Item (Paper)

Abstract

The interplay between structural and electrical changes in the heart after myocardial infarction (MI) plays a key role in the initiation and maintenance of arrhythmia. The anatomical and electrophysiological properties of scar, border zone, and normal myocardium modify the electrocardiographic morphology, which is routinely analysed in clinical settings. However, the influence of various MI properties on the QRS is not intuitively predictable. In this work, we have systematically investigated the effects of 17 post-MI scenarios, varying the location, size, transmural extent, and conductive level of scarring and border zone area, on the forward-calculated QRS. Additionally, we have compared the contributions of different QRS score criteria for quantifying post-MI pathophysiology. The propagation of electrical activity in the ventricles is simulated via a Eikonal model on a unified coordinate system. The analysis has been performed on 49 subjects, and the results imply that the QRS is capable of identifying MI, suggesting the feasibility of inversely reconstructing infarct regions from QRS. There exist sensitivity variations of different QRS criteria for identifying 17 MI scenarios, which is informative for solving the inverse problem.

This record has no associated files available for download.

More information

e-pub ahead of print date: 15 June 2023
Published date: 16 June 2023
Venue - Dates: Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings, , Lyon, France, 2023-06-19 - 2023-06-22
Keywords: Cardiac Digital Twin, Myocardial Infarction, Sensitivity Analysis, Simulation

Identifiers

Local EPrints ID: 488807
URI: http://eprints.soton.ac.uk/id/eprint/488807
ISSN: 0302-9743
PURE UUID: bcba005d-e38b-4e82-ba29-7aa241e9079c
ORCID for Lei Li: ORCID iD orcid.org/0000-0003-1281-6472

Catalogue record

Date deposited: 05 Apr 2024 16:45
Last modified: 10 Apr 2024 02:14

Export record

Altmetrics

Contributors

Author: Lei Li ORCID iD
Author: Julia Camps
Author: Zhinuo Wang
Author: Abhirup Banerjee
Author: Blanca Rodriguez
Author: Vicente Grau
Editor: Olivier Bernard
Editor: Patrick Clarysse
Editor: Nicolas Duchateau
Editor: Jacques Ohayon
Editor: Magalie Viallon
Corporate Author: et al.

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×