Literature DB >> 8005118

Changes in the surface electrocardiogram during the onset of spontaneous ventricular fibrillation in man.

R H Clayton1, A Murray, R W Campbell.   

Abstract

The aim of this study was to quantify electrocardiographic changes during the onset and early stages of ventricular fibrillation. Thirty recordings of ventricular fibrillation (mean duration 57 s, range 24-160 s) were obtained from 23 Coronary Care Unit patients. Each recording was investigated using frequency analysis on 1 s epochs of data. A significant rise in the mean dominant frequency of ventricular fibrillation from 3.9 Hz (SD 0.8 Hz) to 5.9 Hz (SD 1.0 Hz) was observed between 1 s and 30 s (P < 0.0001). At the same time, the width of the dominant peak decreased significantly (P < 0.001) and the height of higher frequency harmonics fell (P < 0.01). There was no significant change in peak height as ventricular fibrillation evolved. This study shows that the electrocardiogram retains periodic characteristics during the first 30 s of ventricular fibrillation and that these periodic characteristics become concentrated in a progressively narrower band of frequencies. These findings would suggest that during the early stages of ventricular fibrillation myocardial activation is both accelerating and coherent, rather than incoherent as has been traditionally believed.

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Year:  1994        PMID: 8005118     DOI: 10.1093/oxfordjournals.eurheartj.a060474

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  5 in total

1.  Temporal and spectral analysis of ventricular fibrillation in humans.

Authors:  Gabriel Decebal Latcu; Olivier Meste; Alexandre Duparc; Pierre Mondoly; Anne Rollin; Marc Delay; Philippe Maury
Journal:  J Interv Card Electrophysiol       Date:  2011-01-27       Impact factor: 1.900

2.  Effects of blockade of fast and slow inward current channels on ventricular fibrillation in the pig heart.

Authors:  A J Stewart; J D Allen; A B Devine; A A Adgey
Journal:  Heart       Date:  1996-12       Impact factor: 5.994

3.  Linear and non-linear analysis of the surface electrocardiogram during human ventricular fibrillation shows evidence of order in the underlying mechanism.

Authors:  R H Clayton; A Murray
Journal:  Med Biol Eng Comput       Date:  1999-05       Impact factor: 2.602

4.  A classification scheme for ventricular arrhythmias using wavelets analysis.

Authors:  K Balasundaram; S Masse; K Nair; K Umapathy
Journal:  Med Biol Eng Comput       Date:  2012-11-07       Impact factor: 2.602

5.  Effect of global cardiac ischemia on human ventricular fibrillation: insights from a multi-scale mechanistic model of the human heart.

Authors:  Ivan V Kazbanov; Richard H Clayton; Martyn P Nash; Chris P Bradley; David J Paterson; Martin P Hayward; Peter Taggart; Alexander V Panfilov
Journal:  PLoS Comput Biol       Date:  2014-11-06       Impact factor: 4.475

  5 in total

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