基于高斯模糊技术的心电图曲线提取方法

背景：心电图等生理曲线记录信号是诊断心脑血管疾病的重要依据，随着互联网技术的发展和医院信息管理系统的广泛应用，文本、声音、图像等均已形成数字化的形式。 目的：为了把已有的图纸形式记录的心电图整合到医院数据库中，利于查询、统计和信息管理，提高医院效率，提出了一种基于高斯模糊的心电图曲线二值化方法。 方法：采用高斯模糊、类别差分门限法二值化算法分离背景网格和原始心电记录曲线，再对结果进行简单的后处理。 结果与结论：基于高斯模糊技术的心电图曲线提取方法能够有效地剔除背景网格，保留完整心电记录曲线，对各类图纸中心电图曲线的二值化过程具有较大的通用性。可为心电图曲线数字化奠定良好的基础。

Electrocardiogram curves extraction method based on Gaussian blur technique

BACKGROUND: Electrocardiogram (ECG) and other recorded physiological signal curves is an important basis for diagnosis of cardiovascular diseases. With the development of Internet technology and the wide applications of HIS, texts, sounds, and images have already become the digital forms. OBJECTIVE: To integrate existing paper-recorded ECG graphs to the hospital database for convenient query, statistics and information management and promotion of hospital efficiency, an extraction method of ECG curves based on Gaussian blur technique is presented. METHODS: Gaussian blur and OSTU binary algorithm were used for the separation of the background grid and original ECG curves, followed by some simple post-processing on the results. RESULTS AND CONCLUSION: This ECG curves extraction method based on Gaussian blur technique can effectively remove the background grid and keep the intact ECG curves during the course of binarization for varieties of ECG curve pictures. It can serve as a good foundation for digitalization of ECG curves.