Literature DB >> 14760922

The dominant T wave and its significance.

Adriaan van Oosterom1.   

Abstract

INTRODUCTION: The shapes of the T waves as observed in different leads placed on the thorax are very similar. The dominant T wave is introduced as a means to characterize this general signal shape. Its relationship to the transmembrane potentials of cardiac myocytes is discussed. METHODS AND
RESULTS: The source description of a biophysical model that previously was shown to yield realistic T waveforms was analyzed in order to exploit its relation to the transmembrane potentials of the cardiac myocytes at the surface bounding the myocardium. The product of this analysis is the dominant T wave: a waveform that describes the slope of the transmembrane potential. It is shown that the dominant T wave can be estimated easily from the matrix of sampled lead potentials. The timing of its peak reveals the mean of the repolarization times of the involved transmembrane potentials. The amplitude of the peak is the maximum downward slope of the transmembrane potential. This amplitude is independent of the volume conductor effects of the tissues surrounding the heart. The estimate of the dominant T wave retains this property.
CONCLUSION: The dominant T wave reflects the derivative of the recovery phase of a generalized transmembrane potential. Its amplitude is independent of the volume conductor properties of the tissues surrounding the heart. This is a unique feature that greatly facilitates the interpretation and application of the other signal features of the dominant T wave.

Mesh:

Year:  2003        PMID: 14760922     DOI: 10.1046/j.1540.8167.90309.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  5 in total

1.  Non-invasive imaging of cardiac activation and recovery.

Authors:  Peter M van Dam; Thom F Oostendorp; André C Linnenbank; Adriaan van Oosterom
Journal:  Ann Biomed Eng       Date:  2009-06-27       Impact factor: 3.934

2.  A Potential-Based Inverse Spectral Method to Noninvasively Localize Discordant Distributions of Alternans on the Heart From the ECG.

Authors:  Jaume Coll-Font; Burak Erem; Dana H Brooks
Journal:  IEEE Trans Biomed Eng       Date:  2017-07-26       Impact factor: 4.538

3.  In silico validation of electrocardiographic imaging to reconstruct the endocardial and epicardial repolarization pattern using the equivalent dipole layer source model.

Authors:  Jeanne van der Waal; Veronique Meijborg; Steffen Schuler; Ruben Coronel; Thom Oostendorp
Journal:  Med Biol Eng Comput       Date:  2020-05-31       Impact factor: 2.602

4.  Automatic Identification of the Repolarization Endpoint by Computing the Dominant T-wave on a Reduced Number of Leads.

Authors:  C Giuliani; A Agostinelli; F Di Nardo; S Fioretti; L Burattini
Journal:  Open Biomed Eng J       Date:  2016-04-30

5.  A priori model independent inverse potential mapping: the impact of electrode positioning.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Clin Res Cardiol       Date:  2015-07-28       Impact factor: 5.460

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.