實驗用動物心率變異性分析系統(tǒng)
發(fā)布時間：2019-04-02 20:12
【摘要】： 心率變異性分析作為一種無創(chuàng)性檢查自主神經系統(tǒng)功能的方法,目前已經被應用于臨床。如:心血管系統(tǒng)疾病、糖尿病病情進展和愈后的評估以及麻醉深度的監(jiān)測等等。然而在研究過程中,HRV頻譜分析中某些成分生理學意義尚未明確, HRV在探索疾病中自主神經系統(tǒng)改變的作用如在自發(fā)性高血壓中的作用等等仍需進一步的研究。這些研究許多數(shù)情況下需要基礎研究工作人員應用動物模型進行長期的觀察和探討。因此,對實驗動物心電信號的記錄及心率變異分析系統(tǒng)十分必要。目前存在的心電信號的自動分析系統(tǒng)市場價格多較高,而且多用于臨床研究。本實驗設計以WINDOWS操作系統(tǒng)為平臺、應用C語言研制開發(fā)一種應用于對動物心電信號中包含的心率變異信息的實時提取及分析系統(tǒng)。以利于對今后開展的HRV分析研究工作提供準確的分析工具。并通過動物實驗對該程序進行測試。本系統(tǒng)主要包括心電信號實時的采集模塊、心電信號保存模塊,HRV時域分析模塊(RR間期提取、RR間期直方圖、RR間期統(tǒng)計學分析),RR間期的Lorenz圖。頻域分析模塊(HRV的功率譜分析),并且通過對Wistar心肌缺血大鼠傾斜實驗前后心電信號的記錄進行心率變異性分析。經測試,此系統(tǒng)完全可以滿足目前基礎實驗中實驗動物的心電信號的提取及心率變異性分析的需要。
[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.
【學位授予單位】：吉林大學
【學位級別】：碩士
【學位授予年份】：2006
【分類號】：R-331
本文編號：2452883
[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.
【學位授予單位】：吉林大學
【學位級別】：碩士
【學位授予年份】：2006
【分類號】：R-331
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