Literature DB >> 18002232

Evaluation of different meshing algorithms in the computation of defibrillation thresholds in children.

Jeroen G Stinstra1, Matthew Jolley, Michael Callahan, David Weinstein, Martin Cole, Dana H Brooks, John Triedman, Rob S MacLeod.   

Abstract

In this paper we evaluate different meshing schemes to solve for the bioelectric fields that arise in the human body due to the defibrillation shock generated by an Implantable Cardiac Defibrillator, with particular emphasis on implantation in children. For children, the question of relative performance of different electrode locations remains open. Computational simulation is a critical tool to address this question, and mesh design is a critical component of such simulations. We use the SCIRun software package to address this simulation problem because it combines the powerful numeric tools required with interactive flexibility allowing easy comparison of both algorithms and electrode orientation. We describe a pipeline that starts with segmented CT-images and produces clinically useful parameters. Using this framework we report below that a meshing scheme using regularly spaced hexahedral elements which are locally refined around the electrodes constitute a quick and relatively accurate way of solving this problem.

Entities:  

Mesh:

Year:  2007        PMID: 18002232     DOI: 10.1109/IEMBS.2007.4352566

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Finite element modeling of subcutaneous implantable defibrillator electrodes in an adult torso.

Authors:  Matthew Jolley; Jeroen Stinstra; Jess Tate; Steve Pieper; Rob Macleod; Larry Chu; Paul Wang; John K Triedman
Journal:  Heart Rhythm       Date:  2010-02-01       Impact factor: 6.343

2.  Predictive modeling of defibrillation using hexahedral and tetrahedral finite element models: recent advances.

Authors:  John K Triedman; Matthew Jolley; Jeroen Stinstra; Dana H Brooks; Rob MacLeod
Journal:  J Electrocardiol       Date:  2008-09-24       Impact factor: 1.438

3.  Computational Model for Therapy Optimization of Wearable Cardioverter Defibrillator: Shockable Rhythm Detection and Optimal Electrotherapy.

Authors:  Oishee Mazumder; Rohan Banerjee; Dibyendu Roy; Ayan Mukherjee; Avik Ghose; Sundeep Khandelwal; Aniruddha Sinha
Journal:  Front Physiol       Date:  2021-12-10       Impact factor: 4.566

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.