中文摘要：

去除基线漂移是心电信号预处理过程中的重要一步，常见方法具有计算量大、结果不佳等缺陷。本文运用形态学理论，结合心电信号特征，提出了基于形态学的心电信号基线漂移去除方法。该方法采用不同形状及尺寸的结构元素设计了两级形态学滤波器，分别对信号进行开闭、闭开级联组合运算。经验证，提出的方法能很好保持心电信号的特征形态，提高了信噪比，减小了均方差，有效去除了基线漂移噪声。

英文摘要：

Removing baseline drift is an important step in preprocessing ECG signal. The traditional methods have disadvan-tages of large computation and poor results. This paper utilizes the morphology theory combined with the characteristics of ECG signal to propose a morphological method for removing the baseline drift, which uses different shapes and sizes to design a two-stage morphological filter and perform cascaded combination operations of closing-opening and opening-closing respectively. The proposed method is verified that it can maintain the morphological specificity, improve the SNR, reduce the MSE, and remove the noise efficiently.