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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dafang Wang Kirby, R.M. Johnson, C.R. |
| Copyright Year | 1964 |
| Abstract | 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. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 18 |
| File Size | 1618433 |
| Starting Page | 220 |
| Ending Page | 237 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 57 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Finite element methods Electrocardiography Inverse problems Pipelines Mathematical model Solid modeling Torso Approximation error Equations Biomedical computing resolution studies Adaptive refinement ECG forward problem ECG inverse problem finite-element method (FEM) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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