Literature DB >> 8087298

Additions to the wavelet hypothesis of cardiac fibrillation.

J A Abildskov1.   

Abstract

INTRODUCTION: The wavelet hypothesis of Moe relates the initiation of cardiac fibrillation to nonuniform propagation of premature responses in the presence of nonuniform recovery of excitability. Fibrillation itself is characterized by multiple spatially discrete activation fronts (wavelets) resulting in reentry at changing locations. METHODS AND
RESULTS: A computer model originally used to demonstrate the hypothesis has been used in further studies of fibrillation and the findings add new details to the hypothesis. The model simulated propagation, cycle length dependent recovery of excitability, and slow propagation of premature responses. Additions to the hypothesis were definition of the different mechanisms by which refractory period (RP) range and mean duration affect vulnerability, explanation of the onset of the vulnerable period later than earliest propagation, and definition of effects of conduction defects on vulnerability. They also include evidence that RP range and duration affect the degree of nonuniform excitation required for fibrillation.
CONCLUSION: Findings indicate that mean RP duration affects vulnerability by means of the number of premature responses possible per unit time while RP range affects nonuniformity of propagation per premature response. They also suggest that effects of conduction defects on vulnerability depend on associated RPs and that the degree of nonuniform excitation required to initiate fibrillation varies with recovery properties. In addition, they provide an explanation for onset of the vulnerable period after propagation is possible.

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Year:  1994        PMID: 8087298     DOI: 10.1111/j.1540-8167.1994.tb01294.x

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


  2 in total

1.  Advances in mechanisms of atrial fibrillation: structural remodeling, high-frequency fractionated electrograms, and reentrant AF drivers.

Authors:  Kevin J Makati; Alawi A Alsheikh-Ali; Ann C Garlitski; Mark S Link; Munther Homoud; Jonathan Weinstock; N A Mark Estes Iii
Journal:  J Interv Card Electrophysiol       Date:  2008-05-09       Impact factor: 1.900

2.  Aortic stenosis and mitral regurgitation as predictors of atrial fibrillation during 11 years of follow-up.

Authors:  Veronica Widgren; Magnus Dencker; Tord Juhlin; Pyotr Platonov; Ronnie Willenheimer
Journal:  BMC Cardiovasc Disord       Date:  2012-10-18       Impact factor: 2.298

  2 in total

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