Literature DB >> 26027545

Vectorcardiographic diagnostic & prognostic information derived from the 12-lead electrocardiogram: Historical review and clinical perspective.

Sumche Man1, Arie C Maan1, Martin J Schalij1, Cees A Swenne2.   

Abstract

In the course of time, electrocardiography has assumed several modalities with varying electrode numbers, electrode positions and lead systems. 12-lead electrocardiography and 3-lead vectorcardiography have become particularly popular. These modalities developed in parallel through the mid-twentieth century. In the same time interval, the physical concepts underlying electrocardiography were defined and worked out. In particular, the vector concept (heart vector, lead vector, volume conductor) appeared to be essential to understanding the manifestations of electrical heart activity, both in the 12-lead electrocardiogram (ECG) and in the 3-lead vectorcardiogram (VCG). Not universally appreciated in the clinic, the vectorcardiogram, and with it the vector concept, went out of use. A revival of vectorcardiography started in the 90's, when VCGs were mathematically synthesized from standard 12-lead ECGs. This facilitated combined electrocardiography and vectorcardiography without the need for a special recording system. This paper gives an overview of these historical developments, elaborates on the vector concept and seeks to define where VCG analysis/interpretation can add diagnostic/prognostic value to conventional 12-lead ECG analysis.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Electrocardiography; Vector concept; Vectorcardiography

Mesh:

Year:  2015        PMID: 26027545     DOI: 10.1016/j.jelectrocard.2015.05.002

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  6 in total

1.  Toward a novel semi-invasive activation mapping tool for the diagnosis of supraventricular arrhythmias from the esophagus.

Authors:  Romy Sweda; Reto A Wildhaber; Simone Mortier; Dominik Bruegger; Thomas Niederhauser; Josef Goette; Marcel Jacomet; Hildegard Tanner; Andreas Haeberlin
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-04-12       Impact factor: 1.468

2.  Adaptation of ventricular repolarization duration and dispersion during changes in heart rate induced by atrial stimulation.

Authors:  Karl-Jonas Axelsson; Adam Brännlund; Lennart Gransberg; Gunilla Lundahl; Farzad Vahedi; Lennart Bergfeldt
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-11-10       Impact factor: 1.468

3.  Automatic identification of a stable QRST complex for non-invasive evaluation of human cardiac electrophysiology.

Authors:  Gunilla Lundahl; Lennart Gransberg; Gabriel Bergqvist; Göran Bergström; Lennart Bergfeldt
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

4.  An Exploratory Study on Vectorcardiographic Identification of the Site of Origin of Focally Induced Premature Depolarizations in Horses, Part I: The Atria.

Authors:  Glenn Van Steenkiste; Tammo Delhaas; Ben Hermans; Lisse Vera; Annelies Decloedt; Gunther van Loon
Journal:  Animals (Basel)       Date:  2022-02-23       Impact factor: 2.752

5.  An Exploratory Study on Vectorcardiographic Identification of the Site of Origin of Focally Induced Premature Depolarizations in Horses, Part II: The Ventricles.

Authors:  Glenn Van Steenkiste; Tammo Delhaas; Ben Hermans; Lisse Vera; Annelies Decloedt; Gunther van Loon
Journal:  Animals (Basel)       Date:  2022-02-23       Impact factor: 2.752

6.  Deep-Learning-Based Estimation of the Spatial QRS-T Angle from Reduced-Lead ECGs.

Authors:  Ana Santos Rodrigues; Rytis Augustauskas; Mantas Lukoševičius; Pablo Laguna; Vaidotas Marozas
Journal:  Sensors (Basel)       Date:  2022-07-20       Impact factor: 3.847

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.