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• W4249870246 abstract "Event Abstract Back to Event Comparison of cardiac activation models using 3D MCG data Massimo D. Melis1* and Yoshinori Uchikawa1 1 Tokyo Denki University, Japan In the study of the inverse problem in biomagnetism, the measured signals are used to localize the source that generates a given magnetic field distribution. The problem has no unique solution, since the same magnetic field map (MFM) can be generated by an infinite number of possible source configurations. To restrict the set of possible solutions, physiological information can be used. In magnetocardiography (MCG), the knowledge of the heart functionality may help in making a suitable choice to model the current source in the human heart. A possible choice for the current model is a single dipole, with varying position, orientation and amplitude inside the heart volume, the so-called source space. An alternative solution can be a multiple dipole model, characterized by a limited number of dipoles, with varying positions and orientations, or a limited range of variability for the position inside the source space. A more general description of the wavefront propagation can be provided by a distributed sources model, which considers an elevated number of dipolar sources, located in fixed positions inside the heart volume region, having varying amplitudes and directions, to model the current flow during the heart cycle. A single dipole model is a suitable one only for short segments of the MCG signals, whereas a distributed model allows estimating the current density in the source space. In this study the source localizations of MCG signals were performed using different source models on the same data sets, to evaluate whether the differences in the source models descriptions can be minimized in the MCG data sets, or in some of them. The analyses are repeated on normal subjects and WPW patients, using normal components data and vector components data of the measured MFMs, to study the effect of the information provided by the additional tangential components. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: MCG: Instrumentation, Modeling, Basic and Clinical Studies Citation: Melis MD and Uchikawa Y (2010). Comparison of cardiac activation models using 3D MCG data. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00341 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 07 Apr 2010; Published Online: 07 Apr 2010. * Correspondence: Massimo D Melis, Tokyo Denki University, Tokyo, Japan, mdemelis@hotmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Massimo D Melis Yoshinori Uchikawa Google Massimo D Melis Yoshinori Uchikawa Google Scholar Massimo D Melis Yoshinori Uchikawa PubMed Massimo D Melis Yoshinori Uchikawa Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page." @default.
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• W4249870246 title "Comparison of cardiac activation models using 3D MCG data" @default.
• W4249870246 doi "https://doi.org/10.3389/conf.fnins.2010.06.00341" @default.
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