基于MATLAB编辑的电生理图像数值转换算法**

背景：许多文献报道的电生理原始实验记录均具有进一步研究的价值，但是这些原始实验记录往往是曲线记录图形，由于病例特殊或实验设备及实验成本的限制，使得重复该实验的难度加大，因此将曲线记录图形精确转换为数值，成为医学信号处理领域获得原始数据的一个方法。目的：利用MATLAB编程，实现将各种类型电生理图像文件转换成数值文件，以便进一步分析、比对与研究保存。方法：在分析心脏电生理图像特点的基础上，实现将各种典型的心脏电生理图像文件经去噪、信号提取、插值、数值对应等处理，最后转换为与实际图像大小相符的数值文件，将该算法应用于各种典型的心脏电生理图像验证该算法的可行性，最后将原图像和用该算法得到的数值进行比较，校验其准确度。结果与结论：经该算法得到的数值与原图数值比较可知，该算法准确度较高，各种电生理图像均能利用该算法读成数值形式。该算法在电生理图像的转换中是很可靠的工具，可以将电生理图像精确转换成数值形式并保存下来，为继续科研，尤其是对于复杂罕见的心脏离子通道疾病研究做了很有意义的准备。关键词：电生理图像；数值转换；MATLAB；软件编程；数字化医学

MATLAB-based numerical conversion algorithm of cardiac electrophysiology image

BACKGROUND: Original experiment record of cardiac electrophysiology is significant for further research. However, the original record is curve graphics. It is difficult to repeat this experiment because of the special cases or the restrictions of the experimental equipment and the cost of experiment. Therefore, it is necessary to convert the curve graphics to numerical value as a method of processing the original data in the medical signal area.OBJECTIVE: To convert various types of electrophysiology image into numerical value by the means of MATLAB for further analysis, comparison and research store.METHODS: Based on characteristic analysis of cardiac electrophysiology images, the cardiac electrophysiology images were subjected to numerical value, including signal extraction, noise extraction, and error correction. The last numerical values were converted matching to the actual size of the image. This algorithm was used for various types of heart electrophysiology image to prove its feasibility. Finally, the image of numerical value was compared with the original to check its accuracy.RESULTS AND CONCLUSION: Through a comparison with the original image, the result of this algorithm could mostly reflect the original information and had a high degree of accuracy. Almost every kind of electrophysiology image could be converted using this algorithm. This algorithm is a powerful tool in image conversion. Using this algorithm, electrophysiology image can be converted to numerical value accurately and stored for further research, which is an important preparation especially for the study of heart diseases.