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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
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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
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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.
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