摘要
目的本文在Poincare散点图作图方式的基础上,以RR间期一阶差分后的序列作图,形成一种新型的散点图。本文分析该散点图的散点区域特点,并着重分析异常散点区域,以获得心电数据中的心律失常信息,并鉴别心电数据中的早搏等现象。方法根据正常RR间期相邻序列变化波动少和期前收缩(早搏)后的RR间期具有代偿间歇的特点,从理论上推导RR间期序列的分布特点和散点图散点区域的特征,判断心律失常条件下其周围散点的分布特点;然后取MIT数据文件进行验证,取得了非常显著的效果。结果说明本文的新型散点图法能够区分单次早搏、二联律和三联律早搏,特别是从混合性早搏数据中分辨出这3类。结论本散点图法对各类早搏的鉴别结果大大优于传统的Poincare散点图方法,可作为HRV非线性分析的补充。
Objective To establish a new approach of mapping plots for analyzing heart rate variability（HRV0 and detecting various premature beats, with the first order difference sequence of heart beat intervals （RIR） based on the mapping approach of pioneare plots. Methods As the natural RR interval of heart heats varies slowly and there is a complete compensation of RR interval after the premature beat, it has been proved with academic logic that the plots have especial characteristic of mapping and also have some peculiar isolated areas of mapping. This approach of mapping plots was proved to be correct by test using MIT-BIH Arrhythmia Database. Results It indicated that our new approach of dot map had a good advantage to distinguish premature beats of isolated, bigeminy, and trigeminy from normal beats, especially from ECG data contained different kinds of premature beats. Conclusion It is suggested that for detecting premature beats our approach is much better than Poincare Plots, so it could be a good complement to non-linear analysis of HRV.
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2009年第1期39-43,共5页
Space Medicine & Medical Engineering
基金
浙江省科技计划重点项目(2007C21079)
关键词
一阶差分散点图
早搏
二联律
三联律
心率变异性
first order difference plot
premature beat
bigeminy
trigeminy
heart rate variability
