| Resolution strategies for the finite-element-based solution of the ECG inverse problem. | |
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MedLine Citation:
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PMID: 19535314 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Successful employment of numerical techniques for the solution of forward and inverse ECG problems requires the ability to both quantify and minimize approximation errors introduced as part of the discretization process. Our objective is to develop discretization and refinement strategies involving hybrid-shaped finite elements so as to minimize approximation errors for the ECG inverse problem. We examine both the ill-posedness of the mathematical inverse problem and the ill-conditioning of the discretized system in order to propose strategies specifically designed for the ECG inverse problem. We demonstrate that previous discretization and approximation strategies may worsen the properties of the inverse problem approximation. We then demonstrate the efficacy of our strategies on both a simplified and a realistic 2-D torso model. |
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Authors:
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Dafang Wang; Robert M Kirby; Chris R Johnson |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. Date: 2009-06-16 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 57 ISSN: 1558-2531 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2010 Feb |
Date Detail:
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Created Date: 2010-01-21 Completed Date: 2010-04-02 Revised Date: 2010-09-27 |
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: 220-37 Citation Subset: IM |
Affiliation:
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Computing and Imaging (SCI) Institute and the School of Computing, University of Utah, Salt Lake City, UT 84112, USA. dfwang@sci.utah.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Computer Simulation Electrocardiography / methods* Finite Element Analysis* Humans Image Processing, Computer-Assisted / methods* Models, Biological* Signal Processing, Computer-Assisted* |
| Grant Support | |
ID/Acronym/Agency:
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5P41RR012553-10/RR/NCRR NIH HHS; P41 RR012553-10/RR/NCRR NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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