长时动态心电图ECG数据可视化

Long-term ECG Visualization of Cardiac Monitoring Data

动态心电图是便携可穿戴医疗设备记录的可以为心脏监护提供高质量信息的图表。利用开源工具,实现了长时的ECG时钟可视化分析处理,使用Python语言编程创建简单、明了的24 h Holter动态心电数据的时钟图,细化实现了心率和QT波的可视化时钟图,反映了心率的变化或者ST段提升。经验证,此方法可靠实用,为医生和病人提供了一个观测心脏功能的新视角。

With the wide and rapid advent of portable/wearable medical devices, the collected long-term health data corpus provides a great opportunity to improve the quality of cardiac care. Based on the previous work on ECG clock and an open source tool, we researched how to create easy-to-interpret plots for cardiac information over along period. ECG clock library was drawn from a dataset of 24-hour Hoher recordings. In relevant cardiac diagnose, normally physicians and researchers focus on the heart rate and QT dynamics which were tested in hospital,and the result show reliability. It can provide new insights into circadian patterns of cardiac function in individuals and groups.