ECG signal preprocessing based on morphological filtering / 生物医学工程学杂志

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.