Baseline drift of electrocardiograph dealt with mathematical morphology filter in real-time
Zhu, X.; Yang, J.; Tang, P.; Ling, X.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 27(1): 48-52
2010
ISSN/ISBN: 1001-5515 PMID: 20337023 Document Number: 645602
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.