Literature DB >> 2036723

Simulation of high-resolution QRS complex using a ventricular model with a fractal conduction system. Effects of ischemia on high-frequency QRS potentials.

S Abboud1, O Berenfeld, D Sadeh.   

Abstract

Recent studies have analyzed the high-fidelity surface electrocardiographic signal, and efforts have been made to increase the diagnostic sensitivity of the electrocardiogram by observing its high-frequency components. It was found that the high-frequency (150-250-Hz) electrocardiogram appears to detect evidence of transient ischemia with greater sensitivity than visual inspection of the surface electrocardiogram. A finite-element three-dimensional model of the ventricles with a self-similar (fractal) conduction system has been introduced as a bridge to the understanding of electrocardiographic phenomena related to high-frequency potentials. The model was activated, and the dipole potential generated by adjacent activated and resting cells was calculated to obtain a high-resolution QRS complex. Normal and ischemic activation processes was stimulated by regional reduction in conduction velocity. It was found that although the resulted low-frequency QRS complex was not significantly altered from normal conditions, the high-frequency components exhibited morphological changes similar to the ones observed during animal experiments and human studies. Based on the results obtained from the model, it can be concluded that these morphological changes can be attributed to a slowing of conduction velocity in the region of ischemia and that the model is adequate for meeting the challenges imposed by the requirements of high-frequency methods applied in clinical cardiology.

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Year:  1991        PMID: 2036723     DOI: 10.1161/01.res.68.6.1751

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  19 in total

1.  Fractal dynamics in physiology: alterations with disease and aging.

Authors:  Ary L Goldberger; Luis A N Amaral; Jeffrey M Hausdorff; Plamen Ch Ivanov; C-K Peng; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

2.  Patient-specific generation of the Purkinje network driven by clinical measurements of a normal propagation.

Authors:  Christian Vergara; Simone Palamara; Domenico Catanzariti; Fabio Nobile; Elena Faggiano; Cesarino Pangrazzi; Maurizio Centonze; Massimiliano Maines; Alfio Quarteroni; Giuseppe Vergara
Journal:  Med Biol Eng Comput       Date:  2014-08-24       Impact factor: 2.602

3.  Comments on 1/f power spectrum of the QRS complex revisited.

Authors:  A L Goldberger; V Bhargava
Journal:  Biophys J       Date:  1991-11       Impact factor: 4.033

4.  Correlation between the high-frequency content of the QRS on murine surface electrocardiogram and the sympathetic nerves density in left ventricle after myocardial infarction: Experimental study.

Authors:  Golriz Sedaghat; Ryan T Gardner; Muammar M Kabir; Elyar Ghafoori; Beth A Habecker; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2017-02-03       Impact factor: 1.438

5.  Modeling of the heart's ventricular conduction system using fractal geometry: spectral analysis of the QRS complex.

Authors:  O Berenfeld; D Sadeh; S Abboud
Journal:  Ann Biomed Eng       Date:  1993 Mar-Apr       Impact factor: 3.934

6.  High-frequency QRS analysis in patients with acute myocardial infarction: a preliminary study.

Authors:  Guy Amit; Ori Galante; Linda R Davrath; Oded Luria; Shimon Abboud; Doron Zahger
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-11-22       Impact factor: 1.468

7.  Generating Purkinje networks in the human heart.

Authors:  Francisco Sahli Costabal; Daniel E Hurtado; Ellen Kuhl
Journal:  J Biomech       Date:  2015-12-22       Impact factor: 2.712

8.  Introduction to multifractal detrended fluctuation analysis in matlab.

Authors:  Espen A F Ihlen
Journal:  Front Physiol       Date:  2012-06-04       Impact factor: 4.566

Review 9.  Three-dimensional cardiac computational modelling: methods, features and applications.

Authors:  Alejandro Lopez-Perez; Rafael Sebastian; Jose M Ferrero
Journal:  Biomed Eng Online       Date:  2015-04-17       Impact factor: 2.819

10.  High-frequency QRS analysis to supplement ST evaluation in exercise stress electrocardiography: Incremental diagnostic accuracy and net reclassification.

Authors:  Pelbreton C Balfour; Jorge A Gonzalez; Peter W Shaw; Margarita P Caminero; Eric M Holland; Jack W Melson; Michael Sobczak; Valerie Izarnotegui; Denny D Watson; George A Beller; Jamieson M Bourque
Journal:  J Nucl Cardiol       Date:  2018-11-30       Impact factor: 5.952

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