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Automatic detection of atrial fibrillation and flutter using the differentiated ECG signal

机译:使用差异化ECG信号自动检测心房颤动和颤动

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Atrial electrical activity during erratic heart rhythms, such as atrial fibrillation (AF) and flutter (AFL), are difficult to characterize quantitatively. In this work the authors investigated quantitative differences in ECG signals with AF and AFL. In each RR interval they analysed a set of windows to determine the characteristic waves of the AF and AFL (F waves). The method uses the differentiated and low-pass filtered ECG signal for the detection of F wave boundaries. The method has been applied to ECG records of the MIT-BIH database with a wide range of AF and AFL morphologies. The best statistical significance to separate AF from AFL has been obtained when analysing the variation coefficient of the F wave duration (VCFD): AF 0.368/spl plusmn/0.071, AFL 0.204/spl plusmn/0.068, p0.001. When defining an ECG record as AF, if VCFD0.255, the clinical performance of VCFD for detection of AF presents a sensitivity of 90%.
机译:在不稳定的心脏节律期间的心房电活动,例如心房颤动(AF)和颤动(AFL),难以定量表征。在这项工作中,作者研究了AF和AFL的ECG信号中的定量差异。在每个RR间隔中,它们分析了一组窗口以确定AF和AFL(F波)的特征波。该方法使用差异化和低通滤波的ECG信号来检测F波边界。该方法已应用于MIT-BIH数据库的ECG记录,具有各种AF和AFL形态。在分析F波持续时间的变化系数(VCFD)的变化系数时,已经获得了从AFL分离AFL的最佳统计学意义:AF 0.368 / SPL PLUSMN / 0.071,AFL 0.204 / SPL PLUSMN / 0.068,P> 0.001。当将ECG记录定义为AF时,如果VCFD <0.255,则VCFD检测AF的临床性能显示90%的灵敏度。

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