首页> 外国专利> NON-INVASIVE CLASSIFICATION OF ATRIAL FIBRILLATION BY PROBABILISTIC INTERVAL ANALYSIS OF A TRANSESOPHAGEAL ELECTROCARDIOGRAM

NON-INVASIVE CLASSIFICATION OF ATRIAL FIBRILLATION BY PROBABILISTIC INTERVAL ANALYSIS OF A TRANSESOPHAGEAL ELECTROCARDIOGRAM

机译:经食道心电图的概率区间分析对房颤进行非侵入性分类

摘要

The invention relates to a computer-implemented method for determining an AF complexity value. The method includes applying a template matching algorithm to an ECG signal to obtain a set of candidate deflections and identifying intrinsic deflections within the set of candidate deflections. The method further includes determining a number of intrinsic deflections and a number of far-field deflections within the set of candidate deflections, based on the identified intrinsic deflections, and determining the AF complexity value as a ratio between the number of far-field deflections and the number of intrinsic deflections.
机译:本发明涉及一种用于确定AF复杂度值的计算机实现的方法。该方法包括将模板匹配算法应用于ECG信号以获得一组候选偏斜并识别该组候选偏斜内的固有偏斜。该方法还包括:基于所识别的固有偏转,在候选偏转集合中确定本征偏转的数量和远场偏转的数量;以及将AF复杂度值确定为远场偏转的数量与实际偏转之间的比率。固有变形的数量。

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