实验用动物心率变异性分析系统

发布时间：2019-04-02 20:12

【摘要】： 心率变异性分析作为一种无创性检查自主神经系统功能的方法,目前已经被应用于临床。如:心血管系统疾病、糖尿病病情进展和愈后的评估以及麻醉深度的监测等等。然而在研究过程中,HRV频谱分析中某些成分生理学意义尚未明确, HRV在探索疾病中自主神经系统改变的作用如在自发性高血压中的作用等等仍需进一步的研究。这些研究许多数情况下需要基础研究工作人员应用动物模型进行长期的观察和探讨。因此,对实验动物心电信号的记录及心率变异分析系统十分必要。目前存在的心电信号的自动分析系统市场价格多较高,而且多用于临床研究。本实验设计以WINDOWS操作系统为平台、应用C语言研制开发一种应用于对动物心电信号中包含的心率变异信息的实时提取及分析系统。以利于对今后开展的HRV分析研究工作提供准确的分析工具。并通过动物实验对该程序进行测试。本系统主要包括心电信号实时的采集模块、心电信号保存模块,HRV时域分析模块(RR间期提取、RR间期直方图、RR间期统计学分析),RR间期的Lorenz图。频域分析模块(HRV的功率谱分析),并且通过对Wistar心肌缺血大鼠倾斜实验前后心电信号的记录进行心率变异性分析。经测试,此系统完全可以满足目前基础实验中实验动物的心电信号的提取及心率变异性分析的需要。
[Abstract]:Heart rate variability analysis (HRV), as a non-invasive method to examine autonomic nervous system function, has been used in clinical practice. For example: cardiovascular disease, diabetes progression and recovery assessment, as well as anesthesia depth monitoring and so on. However, the physiological significance of some components in HRV spectrum analysis is not clear. The role of HRV in exploring the changes of autonomic nervous system in diseases, such as the role in spontaneous hypertension and so on, needs to be further studied. Many of these studies require long-term observation and discussion by basic researchers using animal models. Therefore, it is necessary to record ECG signals and analyze heart rate variability in experimental animals. At present, the market price of ECG automatic analysis system is high, and most of them are used in clinical research. In this experiment, a real-time extraction and analysis system for heart rate variability contained in animal ECG signals was developed by using C language on the platform of WINDOWS operating system. In order to provide accurate analytical tools for the future work of HRV analysis. The program was tested by animal experiment. The system mainly includes ECG real-time acquisition module, ECG signal storage module, HRV time domain analysis module (RR interval extraction, RR interval histogram, RR interval statistical analysis of), RR interval Lorenz map). Frequency domain analysis module (HRV power spectrum analysis) and heart rate variability (HRV) were analyzed by recording ECG signals before and after tilting test in Wistar myocardial ischemia rats. The test results show that the system can fully meet the needs of ECG signal extraction and heart rate variability analysis of experimental animals in basic experiments.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2006
【分类号】：R-331

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