Slocum J, Sahakian A, Swiryn S
Department of Electrical Engineering, Northwestern University, Evanston, IL.
Pacing Clin Electrophysiol. 1988 May;11(5):610-21. doi: 10.1111/j.1540-8159.1988.tb04557.x.
Reliable detection of atrial fibrillation from intra-atrial data is an important requirement for automatic implantable anti-tachycardia devices. Simultaneous filtered and unfiltered intra-atrial electrograms were recorded from patients in regular rhythms (12 sinus rhythms and six regular atrial tachycardias) and atrial fibrillation (nine rhythms). Each rhythm was broken down into consecutive 4-second data segments for analysis by atrial rate calculation, power spectrum analysis and amplitude probability density function generation. Significant differences were found between regular rhythms and atrial fibrillation for atrial rate, for the percentage of the total power in the 4-9 hertz band and for amplitude probability density close to the isoelectric region. There was no overlap for any of these three parameters. For each method of analysis, algorithms were generated to discriminate individual data segments from regular rhythms and atrial fibrillation with high sensitivity and specificity. Comparable results were found when sinus rhythm was excluded from the analysis. Characteristics of intra-atrial recordings during atrial fibrillation were remarkably similar to previously published reports of intra-ventricular recordings during ventricular fibrillation. Each of the three methods of analysis may provide an algorithm for accurate detection of atrial fibrillation by anti-tachycardia devices.
从心房内数据可靠检测心房颤动是自动植入式抗心动过速装置的一项重要要求。记录了处于正常节律（12例窦性节律和6例规则性房性心动过速）和心房颤动（9种节律）的患者的同时经过滤波和未经过滤波的心房内心电图。每种节律被分解为连续的4秒数据段，通过心房率计算、功率谱分析和幅度概率密度函数生成进行分析。在心房率、4 - 9赫兹频段总功率的百分比以及接近等电位区域的幅度概率密度方面，发现正常节律和心房颤动之间存在显著差异。这三个参数中的任何一个都没有重叠。对于每种分析方法，都生成了算法，以高灵敏度和特异性区分来自正常节律和心房颤动的各个数据段。当从分析中排除窦性节律时，发现了类似的结果。心房颤动期间心房内记录的特征与先前发表的心室颤动期间心室内记录的报告非常相似。这三种分析方法中的每一种都可以为抗心动过速装置准确检测心房颤动提供一种算法。
