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  4. Computational generation of the Purkinje network driven by clinical measurements: The case of pathological propagations
 
research article

Computational generation of the Purkinje network driven by clinical measurements: The case of pathological propagations

Palamara, Simone
•
Vergara, Christian
•
Catanzariti, Domenico
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2014
International Journal for Numerical Methods in Biomedical Engineering

To properly describe the electrical activity of the left ventricle, it is necessary to model the Purkinje fibers, responsible for the fast and coordinate ventricular activation, and their interaction with the muscular propagation. The aim of this work is to propose a methodology for the generation of a patient-specific Purkinje network driven by clinical measurements of the activation times related to pathological propagations. In this case, one needs to consider a strongly coupled problem between the network and the muscle, where the feedback from the latter to the former cannot be neglected as in a normal propagation. We apply the proposed strategy to data acquired on three subjects, one of them suffering from muscular conduction problems owing to a scar and the other two with a muscular pre-excitation syndrome (Wolff–Parkinson–White). To assess the accuracy of the proposed method, we compare the results obtained by using the patient-specific Purkinje network generated by our strategy with the ones obtained by using a non-patient-specific network. The results show that the mean absolute errors in the activation time is reduced for all the cases, highlighting the importance of including a patient-specific Purkinje network in computational models. Copyright © 2014 John Wiley & Sons, Ltd.

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Type
research article
DOI
10.1002/cnm.2689
Web of Science ID

WOS:000345995000009

Author(s)
Palamara, Simone
Vergara, Christian
Catanzariti, Domenico
Faggiano, Elena
Pangrazzi, Cesarino
Centonze, Maurizio
Nobile, Fabio  
Maines, Massimiliano
Quarteroni, Alfio  
Date Issued

2014

Publisher

Wiley

Published in
International Journal for Numerical Methods in Biomedical Engineering
Volume

30

Issue

12

Start page

1558

End page

1577

Subjects

patient-specific electrical data

•

Purkinje fibers

•

computational methods

•

eikonal equation

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
CSQI  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/107565
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