Abstract:
:Defibrillation efficacy testing is a common procedure at defibrillator implantation, with the objective to ensure that each patient receives a system with adequate shock efficacy. In this study, defibrillation shock efficacy as a function of shock energy was modeled by a dose response relationship. The frequency distributions of the two parameters characterizing this relationship were estimated from a large clinical study on 634 patients. The estimated parameters were then compared to published data on defibrillation studies performing dose response measurements. After having identified the optimal parameter distributions for the whole population, a Monte Carlo method was used to compare the outcomes of two defibrillation efficacy testing protocols: a safety margin test requiring 2 successes out of 2 trials at 20 J, and the binary search protocol used in the clinical study. Results showed good correspondence with clinical observations. The probabilistic nature of defibrillation success and differences in acceptance and rejection rates of the two protocols were highlighted. The model developed in this study could be used to further understand the differences between various defibrillation testing protocols used in clinical practice.
journal_name
Ann Biomed Engjournal_title
Annals of biomedical engineeringauthors
Smits K,Virag Ndoi
10.1007/s10439-009-9890-zsubject
Has Abstractpub_date
2010-04-01 00:00:00pages
1314-25issue
4eissn
0090-6964issn
1573-9686journal_volume
38pub_type
杂志文章abstract::We have developed a method for quantifying the complexity of activation patterns observed during ventricular fibrillation (VF) that is based on our previously reported methodology for decomposing epicardial mapping data into a set of isolated wavefronts. One-half second datasets are acquired from a 21 x 24 array of un...
journal_title:Annals of biomedical engineering
pub_type: 杂志文章
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journal_title:Annals of biomedical engineering
pub_type: 杂志文章
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
pub_type: 杂志文章,评审
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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