Estimation of Cardiac Fibre Direction Based on Activation Maps

Estimation of Cardiac Fibre Direction Based on Activation Maps

de Vries, J.W. (TU Delft Signal Processing Systems)
Sun, M. (TU Delft Signal Processing Systems)
de Groot, N.M.S. (Erasmus MC)
Hendriks, R.C. (TU Delft Signal Processing Systems)

2023

Estimating tissue conductivity parameters from electrograms (EGMs) could be an important tool for diagnosing and treating heart rhythm disorders such as atrial fibrillation (AF). One of these parameters is the fibre direction, often assumed to be known in conductivity estimation methods. In this paper, a novel method to estimate the fibre direction from EGMs is presented. This method is based on local conduction slowness vectors of a propagating activation wave. These conduction slowness vectors follow an elliptical pattern that depends on the underlying conductivity parameters. The fibre direction and conductivity anisotropy ratio can therefore be estimated by fitting an ellipse to the conduction slowness vectors. Applying the presented method on simulated data shows that it can estimate the fibre direction more accurately than existing methods, and that its performance depends mostly on the range of wavefront directions present in the measurement area. The main advantage of the presented method is that it still functions relatively well in the presence of conduction blocks, as long as the surrounding tissue is approximately homogeneous.

Anisotropy
atrial fibrillation
conduction velocity
fibre direction
local activation time

http://resolver.tudelft.nl/uuid:dfc86a37-1fd8-477d-a08d-ce504220f9d6

https://doi.org/10.1109/ICASSP49357.2023.10095692

IEEE, Piscataway

2023-11-05

978-1-7281-6328-4

Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023, 2023-06-04 → 2023-06-10, Rhodes Island, Greece

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1520-6149, 2023-June

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 J.W. de Vries, M. Sun, N.M.S. de Groot, R.C. Hendriks