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Three different algorithms for identifying patients suffering from atrial fibrillation during atrial fibrillation free phases of the ECG

机译:三种不同的算法,用于识别心电图在心房纤颤游离期期间患有房颤的患者

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The paper presents and compares three different methods to detect atrial fibrillation using algorithms. Each of these algorithms can identify patients suffering from atrial fibrillation even if there is no atrial fibrillation visible on the ECG. All methods are based on RR-intervals; thus, only a single channel ECG is required. These algorithms have been tested using the MIT-BIH atrial fibrillation database and the MIT-BIH normal sinus rhythm database. The sensitivity and specificity of method 1 is 91.5% and 96.9% respectively. Method 2 results in a sensitivity of 93.3% and a specificity of 92.8% and method 3 in a sensitivity of 94.1% and a specificity of 93.4%. Even if an atrial fibrillation burden of 0% is assumed, the sensitivity still proves satisfactory (sensitivity of method 1, 2 and 3 is 82.9%, 96.3% and 94.1%, respectively).
机译:本文介绍并比较了三种使用算法检测房颤的方法。这些算法中的每一种都可以识别出患有心房颤动的患者,即使在ECG上没有可见的心房颤动也是如此。所有方法均基于RR间隔;因此,仅需要一个单通道ECG。这些算法已使用MIT-BIH心房颤动数据库和MIT-BIH正常窦性心律数据库进行了测试。方法1的敏感性和特异性分别为91.5%和96.9%。方法2的敏感性为93.3%,特异性为92.8%,方法3的敏感性为94.1%,特异性为93.4%。即使假定房颤负担为0%,敏感性仍被证明是令人满意的(方法1、2和3的敏感性分别为82.9%,96.3%和94.1%)。

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