Literature DB >> 25784020

Introduction to noninvasive cardiac mapping.

Laura Bear1, Phillip S Cuculich2, Olivier Bernus1, Igor Efimov3, Rémi Dubois1.   

Abstract

From the dawn of the twentieth century, the electrocardiogram (ECG) has revolutionized the way clinical cardiology has been practiced, and it has become the cornerstone of modern medicine today. Driven by clinical and research needs for a more precise understanding of cardiac electrophysiology beyond traditional ECG, inverse solution electrocardiography has been developed, tested, and validated. This article outlines the important progress from ECG development, through more extensive measurement of body surface potentials, and the fundamental leap to solving the inverse problem of electrocardiography, with a focus on mathematical methods and experimental validation.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Electrocardiogram; Forward problem; Inverse solution; Mapping

Mesh:

Year:  2015        PMID: 25784020     DOI: 10.1016/j.ccep.2014.11.015

Source DB:  PubMed          Journal:  Card Electrophysiol Clin        ISSN: 1877-9182


  4 in total

1.  The Consortium for Electrocardiographic Imaging.

Authors:  Jaume Coll-Font; Jwala Dhamala; Danila Potyagaylo; Walther Hw Schulze; Jess D Tate; Maria S Guillem; Peter van Dam; Olaf Dossel; Dana H Brooks; Rob S Macleod
Journal:  Comput Cardiol (2010)       Date:  2017-03-02

2.  Experimental Data and Geometric Analysis Repository-EDGAR.

Authors:  Kedar Aras; Wilson Good; Jess Tate; Brett Burton; Dana Brooks; Jaume Coll-Font; Olaf Doessel; Walther Schulze; Danila Potyagaylo; Linwei Wang; Peter van Dam; Rob MacLeod
Journal:  J Electrocardiol       Date:  2015-08-04       Impact factor: 1.438

3.  Novel experimental model for studying the spatiotemporal electrical signature of acute myocardial ischemia: a translational platform.

Authors:  Brian Zenger; Wilson W Good; Jake A Bergquist; Brett M Burton; Jess D Tate; Leo Berkenbile; Vikas Sharma; Rob S MacLeod
Journal:  Physiol Meas       Date:  2020-02-05       Impact factor: 2.833

4.  Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.

Authors:  Ke-Wei Chen; Laura Bear; Che-Wei Lin
Journal:  Sensors (Basel)       Date:  2022-03-17       Impact factor: 3.576

  4 in total

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