Literature DB >> 12358175

Quantification of T wave shape changes following exercise.

Philip Langley1, Diego Di Bernardo, Alan Murray.   

Abstract

T wave shape is increasingly used to provide insights into cardiac repolarization and, although shape is known to change as heart rate changes, there are no published quantitative clinical data. The aim of this study was to quantify these changes. Heart rate (HR), T wave amplitude, and two measures of T wave symmetry (SRarea--ratio of areas about the peak, SRtime--ratio of centrality of peak), were quantified over a period of 360 seconds following exercise in 20 healthy human subjects. As HR decreased, in all subjects the T wave became more asymmetrical (SRarea 20/20, SRtime 20/20, P < 0.0001). Resting reference HR and symmetry ratios were (mean +/- SD), HR 63 +/- 10 beat/min, SRarea 1.68 +/- 0.25, and SRtime 2.13 +/- 0.39. Fifty seconds postexercise, HR was significantly higher than reference at 92 +/- 11 beat/min (P < 0.0001), and symmetry ratios were significantly less at SRarea 1.04 +/- 0.15, SRtime 1.24 +/- 0.36 (P < 0.0001). Significant differences in HR and both symmetry ratios remained at 300 seconds postexercise. Amplitude increases had returned to their reference values at 300 seconds. T wave shape was significantly more symmetrical at higher HRs. These findings confirm qualitative reports of shape changes.

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Year:  2002        PMID: 12358175     DOI: 10.1046/j.1460-9592.2002.01230.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  4 in total

1.  Dynamics and rate-dependence of the spatial angle between ventricular depolarization and repolarization wave fronts during exercise ECG.

Authors:  Tuomas Kenttä; Mari Karsikas; Antti Kiviniemi; Mikko Tulppo; Tapio Seppänen; Heikki V Huikuri
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-07       Impact factor: 1.468

2.  Beat-to-beat three-dimensional ECG variability predicts ventricular arrhythmia in ICD recipients.

Authors:  Larisa G Tereshchenko; Lichy Han; Alan Cheng; Joseph E Marine; David D Spragg; Sunil Sinha; Darshan Dalal; Hugh Calkins; Gordon F Tomaselli; Ronald D Berger
Journal:  Heart Rhythm       Date:  2010-09-29       Impact factor: 6.343

3.  Beat-to-beat repolarisation variability in body surface electrocardiograms.

Authors:  V Avbelj; R Trobec; B Gersak
Journal:  Med Biol Eng Comput       Date:  2003-09       Impact factor: 3.079

4.  Multi-Beat Averaging Reveals U Waves Are Ubiquitous and Standing Tall at Elevated Heart Rates Following Exercise.

Authors:  Marwa S Al-Karadi; Philip Langley
Journal:  Sensors (Basel)       Date:  2020-07-20       Impact factor: 3.576

  4 in total

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