物理学报2012，Vol.61Issue(19)：62-69,8.
基于Poincaré差值散点图的心率变异性分析方法研究
Heart rate variability analysis based on modified Poincaré plot
摘要
Abstract
Poincaré plot is an important method in nonlinear analysis of heart rate variability(HRV). Based on the modified Poincaré plot, two arguments-the regional distribution entropy and regional distribution coefficient are put forward for the quantitative description of the scatter distribution trends in the studied area. And the distributions of the Poincaré plot in the four quadrants are calculated separately. Through the analysis of the HRV sample data from healthy young people, older people and congestive heart failure(CHF) sufferers in MIT-BIH database, we find that the two parameters show a significant difference between the groups. Meanwhile, the analysis results in different quadrants show that the sensitivities of the four quadrants are different, and especially in the first quadrant, the sensitivity is best. This phenomenon shows that the changes of vagal control function are most significant between healthy people and CHF sufferers, which is consistent with previous physiological research conclusion. Experimental results also show that the method can be used for short-term data, and thus is easier to extend to clinical applications.关键词
心率变异性/Poincaré差值散点图/象限Key words
heart rate variability/modified Poincaré plot/quadrant分类
生物科学引用本文复制引用
霍铖宇,庄建军,黄晓林,侯凤贞,宁新宝..基于Poincaré差值散点图的心率变异性分析方法研究[J].物理学报,2012,61(19):62-69,8.基金项目
国家自然科学基金（批准号：60701002）、江苏省自然科学基金（批准号：BK2011565）和江苏省“六大人才高峰”高层次人才项目（批准号：2011-DZXX-035）资助的课题. （）
