2007
DOI: 10.1093/europace/eum088
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Ventricular rate smoothing for atrial fibrillation: a quantitative comparison study

Abstract: The effect of VP on ventricular rhythm in AF depends on both intrinsic rate and the aggressiveness of the pacing protocol. Adequate rate control is necessary for effective operation of the VRS algorithm. Choosing VRS algorithm should balance between the beneficial effects of rate regularization and the negative effects of increasing heart rate and percentage of VP.

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Cited by 12 publications
(11 citation statements)
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References 37 publications
(110 reference statements)
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“…Progressively shortening the BI (850ms, 750ms, 680ms, 600ms) leads to higher percentage of VP (respectively 28.8%, 59.6%, 75.6%, 92%) and increased stabilization of the ventricular rate. Consistent with previous findings [12], VP not only eliminates long ventricular pauses, but also suppresses short intrinsic RR intervals in AF.…”
Section: Model Applicationssupporting
confidence: 92%
See 1 more Smart Citation
“…Progressively shortening the BI (850ms, 750ms, 680ms, 600ms) leads to higher percentage of VP (respectively 28.8%, 59.6%, 75.6%, 92%) and increased stabilization of the ventricular rate. Consistent with previous findings [12], VP not only eliminates long ventricular pauses, but also suppresses short intrinsic RR intervals in AF.…”
Section: Model Applicationssupporting
confidence: 92%
“…First, an AF-VP model was developed to elucidate the effects of ventricular pacing (VP) on ventricular rhythm in AF [11]. Computer simulations have shown that the AF-VP model could account for most experimental observations, including various patterns of RR interval histograms in AF, [11] biphasic relationship between atrial and ventricular rates in AF, [11] the rate smoothing effects of VP in AF, [11][12][13] and many well-known AV conduction and refractory properties [14]. Second, by incorporating more realistic heart rhythm generators, bi-directional wave conductions, and an industry-standard dual-chamber pacemaker timing control logic into the AF-VP model, we have developed an integrated dual-chamber heart and pacer (IDHP) model, which provides an abstract yet realistic representation of the native cardiac electrical conduction system and its interactions with external cardiac pacing [15].…”
Section: Introductionmentioning
confidence: 99%
“…It has been demonstrated that this model could explain most experimental observations, including various patterns of RR interval distribution in AF, 12 biphasic relationship between atrial and ventricular rates in AF, 12 and the rate stabilization effects of VP. 12,14, 15 We have further validated this model through simulated atrial pacing protocols, which are simpler-case scenarios by factoring out the randomness of AF and the interactions with VP. 13 To facilitate the use and further improvement of the AF-VP model, its software has been made freely available on PhysioNet (http://www.physionet.org/physiotools/afvp/).…”
Section: Prior Workmentioning
confidence: 99%
“…One of the most influential papers in this research line was presented in 1983 by Cohen et al [67]. In this case, and in some more recent publications following the same approach [74,77,78,79], authors used Poisson processes to simulate atrial activity during AF and, by using their models, estimate the ventricular response pattern.…”
Section: Models Of the Rr Interval Seriesmentioning
confidence: 99%
“…In recent studies by Lian et al [74,77,78,79], authors illustrated the possibilities of ventricular pacing therapy as a rate control strategy during AF [3].…”
Section: Models Of the Rr Interval Seriesmentioning
confidence: 99%