心房纤维性颤动形成机制的研究和探讨——(II)心房纤维性颤动动物模型的创建和数据分析方法

Study and Investigation of Mechanism of Atrial Fibrillation——(II)Atrial Fibrillation Animal Model and Data Analysis Method

研究心房纤维性颤动(简称房颤)的形成机制首先遇到的挑战是创建一个稳定的动物模型,首先介绍了如何创建犬无菌心包炎模型(Canine sterile pericarditis model),然后介绍了一种新的实验数据的分析方法——快速傅立叶变换算法(FFT)。最后用FFT方法分析了使用犬无菌心包炎模型所得的实验数据,结果表明犬无菌心包炎模型是一个研究房颤形成机制可靠的动物模型,FFT分析方法是快速有效的分析方法。

The first thorny problem in the study of atrial fibrillation （AF） is the establishment of reliable animal models. This paper presents how to create a canine sterile pericarditis model. A new data analysis method, Fast Fourier Transform is introduced. The data from canine sterile pericarditis model was analyzed using FFT. The results demonstrate that canine sterile pericarditis model is a reliable animal model for studying AF and that FFT is a rapid and effective method for analyzing AF data.