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Things arising from electrocardiographic imaging: toward a theory of partial inverse problems.
- Source :
-
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [Conf Proc IEEE Eng Med Biol Soc] 2006; Vol. 2006, pp. 4520-3. - Publication Year :
- 2006
-
Abstract
- The task of Electrocardiographic Imaging is an ill-posed inverse problem, requiring regularization. However, it has special features, firstly because it is a "non-stationary" inverse problem, and secondly because the inherent dynamical variety (e.g., epicardial breakthroughs, arrhythmias, ischemic changes) may preclude a fruitful nontrivial process model. Importantly, its structure places it in the category of "partial inverse problems" - a theory that arises from this setting. Surprising features of the resulting regularization methodology include the ability to fashion nontrivial regularization matrices in part (and sometimes entirely) from the data. There is evidence that these theoretical results can have significant practical benefits.
- Subjects :
- Algorithms
Bayes Theorem
Biomedical Engineering instrumentation
Body Surface Potential Mapping
Computer Simulation
Equipment Design
Heart anatomy & histology
Heart Conduction System
Humans
Models, Cardiovascular
Models, Statistical
Models, Theoretical
Reproducibility of Results
Electrocardiography instrumentation
Electrocardiography methods
Signal Processing, Computer-Assisted
Subjects
Details
- Language :
- English
- ISSN :
- 1557-170X
- Volume :
- 2006
- Database :
- MEDLINE
- Journal :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
- Publication Type :
- Academic Journal
- Accession number :
- 17945843
- Full Text :
- https://doi.org/10.1109/IEMBS.2006.260768