Lin Zhongguo, Wang Jinliang, Lin Boqiang
School of Control Science and Engineering, Shandong University, Jinan 250061, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2011 Apr;28(2):365-70.
Electrocardiogram (ECG) signals are usually interfered by noises and base-line drift. A morphological filtering approach is put forward to remove the noise of the ECG signals and to calibrate the base-line drift in this paper. Different sizes of structuring elements were used to process the signals for different properties of ECG signal and noise. The morphological filtering approach is simple, fast and real-time in processing the signals, and it keeps the ECG signal shape unchanged while removing the noise. An experiment was carried out to simulate the morphological filtering approach with LabVIEW, and it was shown that this approach was effective in removing noise and in calibrating the base-line drift.
心电图（ECG）信号通常会受到噪声和基线漂移的干扰。本文提出一种形态滤波方法来去除ECG信号的噪声并校正基线漂移。针对ECG信号和噪声的不同特性，采用不同大小的结构元素对信号进行处理。形态滤波方法在处理信号时简单、快速且实时，在去除噪声的同时保持ECG信号形状不变。利用LabVIEW进行了模拟形态滤波方法的实验，结果表明该方法在去除噪声和校正基线漂移方面是有效的。
