| Effect of cardiac motion on solution of the electrocardiography inverse problem. | |
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MedLine Citation:
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PMID: 19272916 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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 ECG 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. |
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Authors:
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Mingfeng Jiang; Ling Xia; Guofa Shou; Qing Wei; Feng Liu; Stuart Crozier |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2008-10-03 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 56 ISSN: 1558-2531 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2009 Apr |
Date Detail:
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Created Date: 2009-05-08 Completed Date: 2009-07-24 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 923-31 Citation Subset: IM |
Affiliation:
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Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China. peterjiang0517@163.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Body Surface Potential Mapping
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methods* Humans Models, Cardiovascular* Motion Movement Myocardial Contraction / physiology* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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