Analysis of Heart Rate Variability Signal Based on Cao Algorithm / 航天医学与医学工程

ABSTRACT

Objective To further analyze the chaos characteristics of heart rate variability(HRV) signals.Methods Analyzed HRV was obtained from 40 healthy subjects(20 olds,20 youngs) by means of Cao algorithm;Stability criteria was proposed to determine minimum embedding dimension;Meanwhile,we advanced a new quantative analysis method of studying HRV deterministic component,and applied the method to the old and young groups.Results Each subject's HRV was composed of both stochastic and deterministic components;Stability criteria could solve the subjective problem when determine minimum embedding dimension by Cao algorithm;Deterministic component in healthy old subjects was higher than the young.Conclusion In this paper,we have proved that HRV is deterministice chaos;Stability criteria works well for determining minimum embedding dimension;HRV decreases as age increases.