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通过频率分布分析鉴别不规则节律。

Differentiation of irregular rhythms by frequency distribution analysis.

作者信息

Talbot S, Dreifus L S

出版信息

Postgrad Med J. 1978 Feb;54(628):86-91. doi: 10.1136/pgmj.54.628.86.

Abstract

Distinctive electrocardiographic patterns for atrial fibrillation, sinus rhythm and atrial extrasystoles, sinus arrhythmia and atrial flutter were found by analysing the frequency distribution of cycle lengths of the electrocardiogram. Frequency distribution analysis, demonstrated that atrial fibrillation is not completely irregular, but shows more long cycles than expected by chance and often a mode at the lower end of the distribution. Irregular atrial flutter is similar. Sinus arrhythmia has more variable organization, but usually there is a centrally situated mode with decreasing observations to the two extremities, and positive skewing. Examples of sinus rhythm and atrial extrasystoles usually have a mode at the upper end of the distribution with a secondary concentration of observations at the lower extremity. Ratios derived from the frequency distributions were of value in differentiating these arrhythmias. It is suggested that such information will improve computer identification of arrhythmia.

摘要

通过分析心电图周期长度的频率分布,发现了心房颤动、窦性心律、房性期前收缩、窦性心律失常和心房扑动的独特心电图模式。频率分布分析表明,心房颤动并非完全不规则,而是显示出比偶然预期更多的长周期,并且在分布的下端通常有一个众数。不规则心房扑动情况类似。窦性心律失常具有更多可变的结构,但通常有一个位于中心的众数,向两端的观察值逐渐减少,并且呈正偏态。窦性心律和房性期前收缩的例子通常在分布的上端有一个众数,在下端有一个观察值的次要集中区。从频率分布得出的比率在区分这些心律失常方面具有价值。有人认为,此类信息将改善心律失常的计算机识别。

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