不同年龄段人群在常态下的心率变化

发布时间：2019-05-27 10:30

【摘要】： HRV是指逐次窦性心动周期之间的微小变异，反映心脏自主神经系统的功能状态。这种心搏间的微小差异，可以被计算机心电检测系统记录、测量和计算出来，作为临床应用指导。已经公认HRV是定量分析心脏自主神经系统张力的方法。频阈分析是近年来受到重视的分析方法之一，，即对心率变异的速度和幅度进行心率功率谱的分析，亦称心率能谱分析。在频域分析指标中，HF主要反映迷走神经张力变化；LF主要反映交感神经张力变化，与外周血管温度调节、肾素、血管紧张素系统活动和心脏泵血功能等多种因素有关；LF／HF则可评估心脏交感神经和迷走神经活动均衡性。在最近的二十年，自主神经系统与心血管衰竭率，包括心脏的突然衰竭之间的密切关系已经得到了大家的公认。实验证明，心率不齐与增强的交感神经或者减弱的迷走神经活动的并发，刺激了自律活动在数量上的里程碑式发展。对心率变化的研究已经成为评定自主神经系统的常用的工具。心率变化分析是以“快速的波动必将影响交感神经和迷走神经的变化”这一理论为基础的。该分析指出，结构生成的信号并不是简单的线性变化，而是包含非线性的变化。在本文中，作者计算出了不同年龄段人群的ECG信号的最大Lyapunov指数，结果表明，随着年龄的增长，心率呈递减的趋势；在论文中，作者还给出了常态下的四组不同年龄段人群的非线性参数的范围。
[Abstract]:HRV refers to the small variation between successive sinus cardiac cycles, which reflects the functional status of cardiac autonomic nervous system. This small difference between beats can be recorded, measured and calculated by computer ECG detection system, which can be used as a guide for clinical application. It has been recognized that HRV is a method for quantitative analysis of cardiac autonomic nervous system tension. Frequency threshold analysis is one of the important analysis methods in recent years, that is, the analysis of heart rate power spectrum, also known as heart rate energy spectrum analysis, is carried out on the speed and amplitude of heart rate variability. In frequency domain analysis, HF mainly reflected the changes of vagus nerve tension, LF mainly reflected the changes of sympathetic nerve tension, which was related to peripheral vascular temperature regulation, renin, angiotensin system activity and cardiac pumping function. LF/HF can evaluate the balance of cardiac sympathetic nerve and vagus nerve activity. In the last two decades, the close relationship between autonomic nervous system and cardiovascular failure rate, including sudden heart failure, has been recognized. It has been proved that the concurrency of irregular heart rate with enhanced sympathetic nerve or weakened vagus nerve activity stimulates the quantitative milestone development of self-regulatory activity. The study of heart rate changes has become a common tool for evaluating autonomic nervous system. The analysis of heart rate change is based on the theory that rapid fluctuation will affect the changes of sympathetic nerve and vagus nerve. The analysis shows that the signal generated by the structure is not a simple linear change, but contains nonlinear changes. In this paper, the maximum Lyapunov index of ECG signal in different age groups is calculated, and the results show that the heart rate tends to decrease with the increase of age. In this paper, the author also gives the range of nonlinear parameters of four groups of people of different ages under normal conditions.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：R33

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