Effect of cardiac motion on solution of the electrocardiography inverse problem

Jiang, Ming Feng, Xia, Ling, Shou, Guofa, Wei, Qing, Liu, Feng and Crozier, Stuart (2009) Effect of cardiac motion on solution of the electrocardiography inverse problem. IEEE Transactions on Biomedical Engineering, 56 4: 923-931. doi:10.1109/TBME.2008.2005967

Author Jiang, Ming Feng
Xia, Ling
Shou, Guofa
Wei, Qing
Liu, Feng
Crozier, Stuart
Title Effect of cardiac motion on solution of the electrocardiography inverse problem
Journal name IEEE Transactions on Biomedical Engineering   Check publisher's open access policy
ISSN 0018-9294
Publication date 2009-04-01
Year available 2009
Sub-type Article (original research)
DOI 10.1109/TBME.2008.2005967
Open Access Status Not yet assessed
Volume 56
Issue 4
Start page 923
End page 931
Total pages 9
Editor Jose C. Principe
Place of publication USA
Publisher IEEE
Language eng
Subject 090303 Biomedical Instrumentation
090399 Biomedical Engineering not elsewhere classified
861502 Medical Instruments
970109 Expanding Knowledge in Engineering
Abstract Previous studies of the ECG inverse problem often assumed that the heart was static during the cardiac cycle; consequently, a time-dependent geometrical error was thought to be unavoidably introduced. In this paper, cardiac motion is included in solutions to the electrocardiographic inverse problem. Cardiac dynamics are simulated based on a previously developed biventricular model that coupled the electrical and mechanical properties of the heart, and simulated the ventricular wall motion and deformation. In the forward computation, the heart surface source model method is employed to calculate the epicardial potentials from the action potentials, and then, the simulated epicardial potentials are used to calculate body surface potentials. With the inclusion of cardiac motion, the calculated body surface potentials are more reasonable than those in the case of static assumption. In the epicardial potential-based inverse studies, the Tikhonov regularization method is used to handle ill-posedness of the ECC inverse problem. The simulation results demonstrate that the solutions obtained from both the static ECG inverse problem and the dynamic ECG inverse problem approaches are approximately the same during the QRS complex period, due to the minimal deformation of the heart in this period. However, with the most obvious deformation occurring during the ST-T segment, the static assumption of heart always generates something akin to geometry noise in the ECG inverse problem causing the inverse solutions to have large errors. This study suggests that the inclusion of cardiac motion in solving the ECG inverse problem can lead to more accurate and acceptable inverse solutions.
Keyword Cardiac motion
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID 2003CB716106
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 03 Sep 2009, 18:09:58 EST by Mr Andrew Martlew on behalf of School of Information Technol and Elec Engineering