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Effect of cardiac motion on body surface electrocardiographic potentials: an MRI-based simulation study

Qing Wei et al 2006 Phys. Med. Biol. 51 3405-3418   doi: 10.1088/0031-9155/51/14/009  Help

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Qing Wei1, Feng Liu1, Ben Appleton1, Ling Xia2, Nianjun Liu1, Stephen Wilson1, Robyn Riley3, Wendy Strugnel3, Richard Slaughter3, Russel Denman3 and Stuart Crozier1
1 School of Information Technology and Electrical Engineering, University of Queensland, Qld, Australia
2 Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China
3 Cardiac MRI Centre, The Prince Charles Hospital, Brisbane, Qld, Australia
E-mail: Stuart@itee.uq.edu.au

Abstract. This paper describes an electrical model of cardiac ventricles incorporating real geometry and motion. The heart anatomy and its motion through the cardiac cycle are obtained from segmentations of multiple-slice MRI time sequences; the special conduction system is constructed using an automated mapping procedure from an existing static heart model. The heart model is mounted in an anatomically realistic voxel model of the human body. The cardiac electrical source and surface potentials are determined numerically using both a finite-difference scheme and a boundary-element method with the incorporation of the motion of the heart. The electrocardiograms (ECG) and body surface potential maps are calculated and compared to the static simulation in the resting heart. The simulations demonstrate that introducing motion into the cardiac model modifies the ECG signals, with the most obvious change occurring during the T-wave at peak contraction of the ventricles. Body surface potential maps differ in some local positions during the T-wave, which may be of importance to a number of cardiac models, including those incorporating inverse methods.

Print publication: Issue 14 (21 July 2006)
Received 3 March 2006, in final form 4 May 2006
Published 23 June 2006

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