Title: Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform
Authors: Linwei Wang, Heye Zhang, Ken C.L. Wong, Huafeng Liu, Pengcheng Shi
Addresses: Computational Biomedicine Laboratory, Rochester Institute of Technology, Rochester, New York, USA. ' Bioengineering Institute, University of Auckland, Auckland, New Zealand. ' Computational Biomedicine Laboratory, Rochester Institute of Technology, Rochester, New York, USA. ' State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, China. ' Computational Biomedicine Laboratory, Rochester Institute of Technology, Rochester, New York, USA
Abstract: The foremost premise for the success of noninvasive volumetric myocardial Transmembrane (TMP) imaging from Body Surface Potential (BSP) recordings is a realistic yet efficient TMP-to-BSP mapping model that balances model accuracy with reconstruction feasibility. This papers presents a novel coupled meshfree-BEM platform to this forward electrocardiographic modelling. Its numerical accuracy and convergence is quantitatively assessed against analytical solutions on a synthetic geometry. Electrocardiographic simulations of various cardiac conditions on personalised heart-torso structures are consistent with existent experimental studies. In further real data validations on three post myocardial infarction patients, simulated BSP exhibit high accuracy compared to measured BSP.
Keywords: electrocardiography; TMP imaging; transmembrane potentials; BSP; body surface potentials; tomographic images; meshfree methods; boundary element method; BEM; simulation; personalised medicine; heart-torso structures; electrocardiographic modelling; post myocardial infarction.
International Journal of Functional Informatics and Personalised Medicine, 2009 Vol.2 No.2, pp.175 - 200
Published online: 02 Aug 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article