Wang S Y, Zhang L F, Wang X B, Cheng J H
Department of Aerospace Physiology, Fourth Military Medical University, Xi'an, P.R. China.
J Gravit Physiol. 2000 Jul;7(2):P145-6.
Simultaneous analysis of heart rate variability (HRV), blood pressure variability (BPV) and baroreflex sensitivity (BRS) with different types of measures may provide non-duplicative information about autonomic cardiovascular regulation. Therefore, a multiple signal analysis of cardiovascular time series will enhance the physiological understanding of neuro cardiovascular regulation with deconditioning in bedrest or related gravitational physiological studies. It has been shown that age is an important determinant of HRV and BRS in healthy subjects. Whereas in the case of BPV, the effect of aging seems to depend upon the activity status of the subjects. In view of the facts that most of the previous works were dealing with only the variability of one kind of cardiovascular parameters in one study with conventional time-domain and/or frequency-domain analysis, we therefore designed the present work to compare the HRV, BPV and BRS between young and middle-aged male healthy subjects in one study with the same subjects using various techniques, including the approximate entropy (ApEn) measurement, a statistic quantifying HRV "complexity" derived from non-linear dynamics.
采用不同类型的测量方法同时分析心率变异性（HRV）、血压变异性（BPV）和压力反射敏感性（BRS），可能会提供关于自主心血管调节的非重复信息。因此，对心血管时间序列进行多信号分析，将增强对卧床休息去适应或相关重力生理学研究中神经心血管调节的生理学理解。研究表明，年龄是健康受试者HRV和BRS的重要决定因素。而对于BPV，衰老的影响似乎取决于受试者的活动状态。鉴于之前的大多数研究仅在一项研究中使用传统的时域和/或频域分析来处理一种心血管参数的变异性，因此我们设计了本研究，在一项研究中使用包括近似熵（ApEn）测量在内的各种技术，对年轻和中年男性健康受试者的HRV、BPV和BRS进行比较，近似熵是一种源自非线性动力学的量化HRV“复杂性”的统计量。
