利用R-R间期相关维数对心率变异的分析

Applying Correlation Dimension of R-R Intervals to the Analysis of Heart Rate Variability

本文应用混饨理论，研究了心率变异（HRV）情况下R－R间期的相关维数。对正常生理状态下人清醒与睡眠阶段，及临床-24小时HOLTER记录的R－R间期，分段计算其相关维数，结果表明，当其中某段R－R间期发生明显改变时，相关维数减小。此法比临床使用的统计学分析等方法，能更好地反映心率变异大小，且物理意义明显，运算简便，所需数据量少。该研究可应用于实际分析HRV，及心电监护仪进行实时监护。

This paper addresses the correlation dimension of R-R intervals under Heart Rate Variability(HRV) conditions accoraing to chaos theory. We calculate the R-R interval dimensions of normal people's wakingand sleeping status, and of different status of a 24-hour clinical Holter recording. The results show that the biggerthe HRV is, the smaller the dimension of R-R interval is-This method needs small data and costs little time to cal-culate, so probably it can Be of clinical use in the analysis of HRV.