Zhu Xianglin, Yang Jianning, Tang Ping, Ling Xin
College of Electrical Information Engineering of Jiangsu University, Zhenjiang 212013, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Feb;27(1):48-52.
We have done a research on mathematical morphology filter in order to eliminate baseline drift in the wave of electrocardiograph (ECG). Marago morphology filter type was chosen and flat structuring element filtering was found to be the best morphology filter modality for eliminating baseline drift, and the ratio of "signal numerical frequency to length of structuring element" determined the attenuation magnitude of the signal eliminated. We have come to the conclusion that the length of flat structuring element ought to be greater than or equal to the width of the signal component to be eliminated. The arithmetical algorithm was simulated with Matlab software, and was transplanted to DSP hardware platform. The result of experiment has shown that the arithmetic operation is simple and the method spends a short time (less than 1 ms) in eliminating the baseline drift of ECG effectively and instantly.
为了消除心电图（ECG）波形中的基线漂移，我们对数学形态学滤波器进行了研究。选择了Marago形态学滤波器类型，发现扁平结构元素滤波是消除基线漂移的最佳形态学滤波方式，并且“信号数字频率与结构元素长度”的比值决定了被消除信号的衰减幅度。我们得出结论，扁平结构元素的长度应大于或等于要消除的信号分量的宽度。用Matlab软件对算法进行了仿真，并移植到DSP硬件平台上。实验结果表明，该算法运算简单，能在短时间内（小于1毫秒）有效、即时地消除ECG的基线漂移。
