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Poincaré plots of time-frequency parameters applied to the prediction of Atrial Fibrillation termination

机译:时频参数的庞加莱图应用于心房颤动终止的预测

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Atrial Fibrillation (AF) episodes are commonly encountered in the daily clinical practice and cardiologists have often to face the difficulty of classifying between terminating and non-terminating AF episodes. Given that in these critical situations a decision must be made with the utmost urgency, it would be desirable to have a visualization tool of easy interpretation that could provide a fast and reliable prediction of AF episode evolution. In this essay, a method based on Poincaré plots and time-frequency analysis is presented as a new technique of AF diagnosis.
机译:心房颤动(AF)发作是日常临床实践中经常遇到的问题,心脏病专家通常要面对在终止性和非终止性AF发作之间进行分类的困难。鉴于在这些紧急情况下必须立即做出决定,因此希望拥有一种易于解释的可视化工具,该工具可以提供对AF发作演变的快速而可靠的预测。本文提出了一种基于庞加莱图和时频分析的方法,作为一种AF诊断的新技术。

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