Literature DB >> 14729788

ECGSIM: an interactive tool for studying the genesis of QRST waveforms.

A van Oosterom1, T F Oostendorp.   

Abstract

BACKGROUND: Discussion about the selection of diagnostic features of the ECG and their possible interpretation would benefit from a model of the genesis of these signals that has a sound basis in electrophysiology as well as in physics. Recent advances in computer technology have made it possible to build a simulation package whereby the genesis of ECG signals can be studied interactively.
DESIGN: A numerical method was developed for computing ECG signals on the thorax, as well as electrograms on both endocardium and epicardium. The source representation of the myocardial electric activity is the equivalent double layer. The transfer factors between the electric sources and the resulting potentials on the heart surface as well as on the body surface were computed using a realistic thorax model. RESULTS AND
CONCLUSION: The resulting transfer factors were implemented in a simulation program. The program allows the user to make interactive changes in the timing of depolarisation and repolarisation on the ventricular surface, as well as changing the local source strength, and to inspect or document the effect of such changes instantaneously on electrograms and body surface potentials, visualised by waveforms as well as by potential maps and movies. The entire simulation package can be installed free of charge from www.ecgsim.org.

Mesh:

Year:  2004        PMID: 14729788      PMCID: PMC1768085          DOI: 10.1136/hrt.2003.014662

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  9 in total

1.  Explaining the T-wave shape in the ECG.

Authors:  D di Bernardo; A Murray
Journal:  Nature       Date:  2000-01-06       Impact factor: 49.962

2.  Genesis of the T wave as based on an equivalent surface source model.

Authors:  A van Oosterom
Journal:  J Electrocardiol       Date:  2001       Impact factor: 1.438

3.  A theoretical analysis of intracavitary blood mass influence on the heart-lead relationship.

Authors:  D A BRODY
Journal:  Circ Res       Date:  1956-11       Impact factor: 17.367

Review 4.  Solid angle theory and the electrocardiogram: physiologic and quantitative interpretations.

Authors:  R P Holland; M F Arnsdorf
Journal:  Prog Cardiovasc Dis       Date:  1977 May-Jun       Impact factor: 8.194

5.  The Brody effect revisited.

Authors:  A van Oosterom; R Plonsey
Journal:  J Electrocardiol       Date:  1991-10       Impact factor: 1.438

6.  Description of cardiac sources in anisotropic cardiac muscle. Application of bidomain model.

Authors:  D B Geselowitz
Journal:  J Electrocardiol       Date:  1992       Impact factor: 1.438

7.  THE DISTRIBUTION OF THE ACTION CURRENTS PRODUCED BY HEART MUSCLE AND OTHER EXCITABLE TISSUES IMMERSED IN EXTENSIVE CONDUCTING MEDIA.

Authors:  F N Wilson; A G Macleod; P S Barker
Journal:  J Gen Physiol       Date:  1933-01-20       Impact factor: 4.086

8.  Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events.

Authors:  H S Oster; B Taccardi; R L Lux; P R Ershler; Y Rudy
Journal:  Circulation       Date:  1997-08-05       Impact factor: 29.690

9.  The depolarization sequence of the human heart surface computed from measured body surface potentials.

Authors:  G Huiskamp; A Van Oosterom
Journal:  IEEE Trans Biomed Eng       Date:  1988-12       Impact factor: 4.538

  9 in total
  22 in total

1.  Nondipolar content of T wave derived from a myocardial source simulation with increased repolarization inhomogeneity.

Authors:  Milos Kesek; Ola Gustavsson; Urban Wiklund
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-04       Impact factor: 1.468

2.  Comparison of three artificial models of the magnetohydrodynamic effect on the electrocardiogram.

Authors:  Julien Oster; Raul Llinares; Stephen Payne; Zion Tsz Ho Tse; Ehud Jeruham Schmidt; Gari D Clifford
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-04-24       Impact factor: 1.763

Review 3.  Misinterpretation of the mouse ECG: 'musing the waves of Mus musculus'.

Authors:  Bastiaan J Boukens; Mathilde R Rivaud; Stacey Rentschler; Ruben Coronel
Journal:  J Physiol       Date:  2014-09-25       Impact factor: 5.182

Review 4.  The inverse problem of bioelectricity: an evaluation.

Authors:  Adriaan van Oosterom
Journal:  Med Biol Eng Comput       Date:  2012-07-28       Impact factor: 2.602

5.  TIME INVARIANT MULTI ELECTRODE AVERAGING FOR BIOMEDICAL SIGNALS.

Authors:  R Martinez Orellana; B Erem; D H Brooks
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2013-12-31

6.  Identifying model inaccuracies and solution uncertainties in noninvasive activation-based imaging of cardiac excitation using convex relaxation.

Authors:  Burak Erem; Peter M van Dam; Dana H Brooks
Journal:  IEEE Trans Med Imaging       Date:  2014-04       Impact factor: 10.048

7.  An electrocardiographic sign of ischemic preconditioning.

Authors:  Loek P B Meijs; Loriano Galeotti; Esther P Pueyo; Daniel Romero; Robert B Jennings; Michael Ringborn; Stafford G Warren; Galen S Wagner; David G Strauss
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-04-28       Impact factor: 4.733

8.  Trainee Occupational Therapists Scoring the Barthel ADL.

Authors:  Elizabeth Martin; Chris Nugent; Raymond Bond; Suzanne Martin
Journal:  J Med Syst       Date:  2015-08-07       Impact factor: 4.460

9.  Application of the fastest route algorithm in the interactive simulation of the effect of local ischemia on the ECG.

Authors:  Peter M van Dam; Thom F Oostendorp; Adriaan van Oosterom
Journal:  Med Biol Eng Comput       Date:  2008-09-03       Impact factor: 2.602

10.  Simulation of Cardiac Arrhythmias Using a 2D Heterogeneous Whole Heart Model.

Authors:  Minimol Balakrishnan; V Srinivasa Chakravarthy; Soma Guhathakurta
Journal:  Front Physiol       Date:  2015-12-21       Impact factor: 4.566

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