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动态心电图是心内科最常见的无创检查之一,24h的动态心电数据一般有10多万次心搏,属大数据或海量数据。传统的分析方法耗时,耗力,诊断效率有待提高。心散点图用“点”在二维坐标系中描述心律RR间期的大数据,使不同心搏的节律呈现出不同图形特征,并从其图形特征和变化中清晰地显示心脏搏动的整体节律特性和不同心律失常的节律特点,从而快速准确解读心电大数据信息。近年来,我国心电散点图的理论与临床应用有了很大进展,与此相匹配的软件分析技术也实现了
Holter is one of the most common noninvasive examinations in cardiology. Holter data of 24h usually have more than 100,000 heartbeats, which are big data or massive data. Traditional analysis methods consume time, energy and diagnostic efficiency needs to be improved. Heart Scatter plot uses “dot” to describe big data of RR interval in two-dimensional coordinate system so that different rhythms of rhythm show different graphic features and clearly display heart beat from its graphic features and changes The overall rhythm characteristics and different arrhythmia rhythm characteristics, so quickly and accurately interpret ECG big data information. In recent years, great progress has been made in the theory and clinical application of ECG scattergram in our country, and the software analysis technology matched with this has been realized