Literature DB >> 12779601

Introduction: Mapping and control of complex cardiac arrhythmias.

David J. Christini1, Leon Glass.   

Abstract

This paper serves as an introduction to the Focus Issue on mapping and control of complex cardiac arrhythmias. We first introduce basic concepts of cardiac electrophysiology and describe the main clinical methods being used to treat arrhythmia. We then provide a brief summary of the main themes contained in the articles in this Focus Issue. In recent years there have been important advances in the ability to map the spread of excitation in intact hearts and in laboratory settings. This work has been combined with simulations that use increasingly realistic geometry and physiology. Waves of excitation and contraction in the heart do not always propagate with constant velocity but are often subject to instabilities that may lead to fluctuations in velocity and cycle time. Such instabilities are often treated best in the context of simple one- or two-dimensional geometries. An understanding of the mechanisms of propagation and wave stability is leading to the implementation of different stimulation protocols in an effort to modify or eliminate abnormal rhythms. (c) 2002 American Institute of Physics.

Entities:  

Year:  2002        PMID: 12779601     DOI: 10.1063/1.1504061

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  9 in total

1.  Nonlinear additive autoregressive model-based analysis of short-term heart rate variability.

Authors:  Niels Wessel; Hagen Malberg; Robert Bauernschmitt; Alexander Schirdewan; Jürgen Kurths
Journal:  Med Biol Eng Comput       Date:  2006-03-29       Impact factor: 2.602

2.  In Vivo Restoration of Myocardial Conduction With Carbon Nanotube Fibers.

Authors:  Mark D McCauley; Flavia Vitale; J Stephen Yan; Colin C Young; Brian Greet; Marco Orecchioni; Srikanth Perike; Abdelmotagaly Elgalad; Julia A Coco; Mathews John; Doris A Taylor; Luiz C Sampaio; Lucia G Delogu; Mehdi Razavi; Matteo Pasquali
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-08-12

3.  The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.

Authors:  David J Albers; Matthew E Levine; Lena Mamykina; George Hripcsak
Journal:  Math Biosci       Date:  2019-08-24       Impact factor: 2.144

4.  Delay-induced uncertainty for a paradigmatic glucose-insulin model.

Authors:  Bhargav Karamched; George Hripcsak; David Albers; William Ott
Journal:  Chaos       Date:  2021-02       Impact factor: 3.642

5.  Personalized glucose forecasting for type 2 diabetes using data assimilation.

Authors:  David J Albers; Matthew Levine; Bruce Gluckman; Henry Ginsberg; George Hripcsak; Lena Mamykina
Journal:  PLoS Comput Biol       Date:  2017-04-27       Impact factor: 4.475

6.  Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.

Authors:  David J Albers; Matthew E Levine; Andrew Stuart; Lena Mamykina; Bruce Gluckman; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

7.  Delay-induced uncertainty in the glucose-insulin system: Pathogenicity for obesity and type-2 diabetes mellitus.

Authors:  Bhargav R Karamched; George Hripcsak; Rudolph L Leibel; David Albers; William Ott
Journal:  Front Physiol       Date:  2022-09-01       Impact factor: 4.755

8.  The formation mechanism of defects, spiral wave in the network of neurons.

Authors:  Xinyi Wu; Jun Ma
Journal:  PLoS One       Date:  2013-01-31       Impact factor: 3.240

9.  Spiral-wave turbulence and its control in the presence of inhomogeneities in four mathematical models of cardiac tissue.

Authors:  T K Shajahan; Alok Ranjan Nayak; Rahul Pandit
Journal:  PLoS One       Date:  2009-03-09       Impact factor: 3.240

  9 in total

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