Boundary element method in spatial characterization of the electrocardiogram

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Stenroos, Matti
dc.date.accessioned 2012-08-21T06:26:35Z
dc.date.available 2012-08-21T06:26:35Z
dc.date.issued 2008
dc.identifier.isbn 978-951-22-9587-6
dc.identifier.isbn 978-951-22-9586-9 (printed) #8195;
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/4538
dc.description.abstract The electrochemical activity of the heart gives rise to an electric field. In electrocardiography, cardiac electrical activity is assessed by analyzing the potential distribution of this field on the body surface. The potential distribution, or the set of measured surface-voltage signals, is called the electrocardiogram (ECG). Spatial properties of the ECG can be captured with body surface potential mapping (BSPM), in which the electrocardiogram is measured using dozens of electrodes. In this Thesis, methods for solving the forward and inverse problems of electrocardiography are developed and applied to characterization of acute myocardial ischemia. The methodology is based on numerical computation of quasi-static electric fields in a volume conductor model. An open-source Matlab toolbox for solving volume conductor problems with the boundary element method (BEM) is presented. The Galerkin BEM and analytical operator-integrals are, for the first time, applied to the epicardial potential problem; the formulation for a piece-wise homogeneous volume conductor is presented in detail, enabling straightforward inclusion of the lungs or other inhomogeneities in the thorax model. The results show that errors due to discretization and forward-computation are smaller with the linear Galerkin (LG) method than with the conventional methods. These benefits do, however, not reflect to the Tikhonov-regularized inverse solution. If the lungs are omitted, as commonly is done, the choice of the computational method is not significant. In a set of 22 patients measured with BSPM during coronary angioplasty (PTCA), the application of a BEM thorax model with dipolar equivalent sources enabled accurate discrimination between occluded coronary arteries: the correct classification was obtained in 21 patients using the BSPM and in 20 patients using a 5-electrode set suggested elsewhere. The ischemic regions could also be localized anatomically correctly with simplified epicardial potential imaging, even though patient-specific thorax models were not used. In another set, comprising 79 acute ischemic patients and 84 controls, dipole-markers performed well in detection and quantification of acute ischemia. These results show that the modeling-approach can provide valuable information also without patient-specific models and complicated protocols. en
dc.format.extent Verkkokirja (461 KB, 53 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Teknillinen korkeakoulu en
dc.relation.haspart [Publication 1]: M. Stenroos, V. Mäntynen, and J. Nenonen. 2007. A Matlab library for solving quasi-static volume conduction problems using the boundary element method. Computer Methods and Programs in Biomedicine, volume 88, number 3, pages 256-263. © 2007 Elsevier Science. By permission. en
dc.relation.haspart [Publication 2]: M. Stenroos and J. Haueisen. 2008. Boundary element computations in the forward and inverse problems of electrocardiography: comparison of collocation and Galerkin weightings. IEEE Transactions on Biomedical Engineering, volume 55, number 9, pages 2124-2133. © 2008 IEEE. By permission. en
dc.relation.haspart [Publication 3]: M. Stenroos. 2008. Transfer matrix for epicardial potential in a piece-wise homogeneous thorax model: the boundary element formulation. Helsinki University of Technology, Department of Biomedical Engineering and Computational Science Publications, Report A04, 9 pages. en
dc.relation.haspart [Publication 4]: M. Stenroos, M. Lindholm, H. Hänninen, I. Tierala, H. Väänänen, and T. Katila. 2005. Dipole modeling in electrocardiographic classification of acute ischemia. Computers in Cardiology, volume 32, pages 655-658. © 2005 IEEE. By permission. en
dc.relation.haspart [Publication 5]: M. Stenroos, M. Lindholm, P. Vesterinen, M. Kylmälä, T. Konttila, J. Dabek, and H. Väänänen. 2006. Electrocardiographic detection and quantification of acute myocardial ischemia with dipole modeling. Computers in Cardiology, volume 33, pages 29-32. © 2006 by authors. en
dc.relation.haspart [Publication 6]: M. Stenroos, H. Hänninen, M. Lindholm, I. Tierala, and T. Katila. 2005. Lead field formulation for epicardial potential in electrocardiographic localization of acute myocardial ischemia. IFMBE Proceedings, volume 11, pages 2265-1 - 2265-5. © 2005 International Federation for Medical and Biological Engineering (IFMBE). By permission. en
dc.subject.other Medical sciences en
dc.title Boundary element method in spatial characterization of the electrocardiogram en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.department Lääketieteellisen tekniikan ja laskennallisen tieteen laitos fi
dc.subject.keyword electrocardiography en
dc.subject.keyword boundary element method en
dc.subject.keyword forward problem en
dc.subject.keyword inverse problem en
dc.subject.keyword myocardial ischemia en
dc.identifier.urn URN:ISBN:978-951-22-9587-6
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en


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