Literature DB >> 16807788

Application of the method of fundamental solutions to potential-based inverse electrocardiography.

Yong Wang1, Yoram Rudy.   

Abstract

Potential-based inverse electrocardiography is a method for the noninvasive computation of epicardial potentials from measured body surface electrocardiographic data. From the computed epicardial potentials, epicardial electrograms and isochrones (activation sequences), as well as repolarization patterns can be constructed. We term this noninvasive procedure Electrocardiographic Imaging (ECGI). The method of choice for computing epicardial potentials has been the Boundary Element Method (BEM) which requires meshing the heart and torso surfaces and optimizing the mesh, a very time-consuming operation that requires manual editing. Moreover, it can introduce mesh-related artifacts in the reconstructed epicardial images. Here we introduce the application of a meshless method, the Method of Fundamental Solutions (MFS) to ECGI. This new approach that does not require meshing is evaluated on data from animal experiments and human studies, and compared to BEM. Results demonstrate similar accuracy, with the following advantages: 1. Elimination of meshing and manual mesh optimization processes, thereby enhancing automation and speeding the ECGI procedure. 2. Elimination of mesh-induced artifacts. 3. Elimination of complex singular integrals that must be carefully computed in BEM. 4. Simpler implementation. These properties of MFS enhance the practical application of ECGI as a clinical diagnostic tool.

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Year:  2006        PMID: 16807788      PMCID: PMC2440514          DOI: 10.1007/s10439-006-9131-7

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  44 in total

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2.  Accuracy of quadratic versus linear interpolation in noninvasive Electrocardiographic Imaging (ECGI).

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Journal:  Ann Biomed Eng       Date:  2005-09       Impact factor: 3.934

3.  Activation and repolarization of the normal human heart under complete physiological conditions.

Authors:  Charulatha Ramanathan; Ping Jia; Raja Ghanem; Kyungmoo Ryu; Yoram Rudy
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-10       Impact factor: 11.205

4.  Computationally efficient noninvasive cardiac activation time imaging.

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Journal:  Methods Inf Med       Date:  2005       Impact factor: 2.176

5.  Electrocardiographic imaging: I. Effect of torso inhomogeneities on body surface electrocardiographic potentials.

Authors:  C Ramanathan; Y Rudy
Journal:  J Cardiovasc Electrophysiol       Date:  2001-02

6.  Electrocardiographic imaging: II. Effect of torso inhomogeneities on noninvasive reconstruction of epicardial potentials, electrograms, and isochrones.

Authors:  C Ramanathan; Y Rudy
Journal:  J Cardiovasc Electrophysiol       Date:  2001-02

7.  Electrocardiographic imaging (ECGI), a novel diagnostic modality used for mapping of focal left ventricular tachycardia in a young athlete.

Authors:  Anselma Intini; Robert N Goldstein; Ping Jia; Charulatha Ramanathan; Kyungmoo Ryu; Bartolomeo Giannattasio; Robert Gilkeson; Bruce S Stambler; Pedro Brugada; William G Stevenson; Yoram Rudy; Albert L Waldo
Journal:  Heart Rhythm       Date:  2005-11       Impact factor: 6.343

8.  Electrocardiographic imaging of cardiac resynchronization therapy in heart failure: observation of variable electrophysiologic responses.

Authors:  Ping Jia; Charulatha Ramanathan; Raja N Ghanem; Kyungmoo Ryu; Niraj Varma; Yoram Rudy
Journal:  Heart Rhythm       Date:  2006-03       Impact factor: 6.343

9.  A noninvasive imaging modality for cardiac arrhythmias.

Authors:  J E Burnes; B Taccardi; Y Rudy
Journal:  Circulation       Date:  2000-10-24       Impact factor: 29.690

10.  Noninvasive electrocardiographic imaging (ECGI): comparison to intraoperative mapping in patients.

Authors:  Raja N Ghanem; Ping Jia; Charulatha Ramanathan; Kyungmoo Ryu; Alan Markowitz; Yoram Rudy
Journal:  Heart Rhythm       Date:  2005-04       Impact factor: 6.343

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Journal:  Ann Biomed Eng       Date:  2010-05-25       Impact factor: 3.934

4.  Intracardiac Inverse Potential Mapping Using the Method of Fundamental Solutions.

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Review 5.  Mechanisms of human atrial fibrillation: Lessons learned from 20 years of atrial fibrillation surgery.

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6.  Atlas-based methods for efficient characterization of patient-specific ventricular activation patterns.

Authors:  Kevin P Vincent; Nickolas Forsch; Sachin Govil; Jake M Joblon; Jeffrey H Omens; James C Perry; Andrew D McCulloch
Journal:  Europace       Date:  2021-03-04       Impact factor: 5.214

7.  Optical Imaging of Ventricular Action Potentials in a Torso Tank: A New Platform for Non-Invasive Electrocardiographic Imaging Validation.

Authors:  Laura R Bear; Richard D Walton; Emma Abell; Yves Coudière; Michel Haissaguerre; Olivier Bernus; Rémi Dubois
Journal:  Front Physiol       Date:  2019-02-26       Impact factor: 4.566

8.  Impact of the Endocardium in a Parameter Optimization to Solve the Inverse Problem of Electrocardiography.

Authors:  Gwladys Ravon; Yves Coudière; Mark Potse; Rémi Dubois
Journal:  Front Physiol       Date:  2019-01-22       Impact factor: 4.566

9.  Non-Contact Intracardiac Potential Mapping Using Mesh-Based and Meshless Inverse Solvers.

Authors:  Shu Meng; Judit Chamorro-Servent; Nicholas Sunderland; Jichao Zhao; Laura R Bear; Nigel A Lever; Gregory B Sands; Ian J LeGrice; Anne M Gillis; David M Budgett; Bruce H Smaill
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10.  Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.

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  10 in total

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