Abstract
A novel approach of ECG baseline wander correction based on mean-median filter and empirical mode decomposition is presented in this paper. The low frequency parts of the original signals were removed by the mean median filter in a nonlinear way to obtain the baseline wander estimation, then its series of IMFs were sifted by t-test after empirical mode decomposition. The proposed method, tested by the ECG signals in MIT-BIH Arrhythmia database and European ST-T database, is more effective compared with other baseline wander removal methods.
| Original language | English |
|---|---|
| Pages (from-to) | 365-371 |
| Number of pages | 7 |
| Journal | Bio-Medical Materials and Engineering |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2014 |
Keywords
- Baseline Wander
- ECG
- Empirical Mode Decomposition
- Mean-median Filter
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Xin, Y., Chen, Y., & Hao, W. T. (2014). ECG baseline wander correction based on mean-median filter and empirical mode decomposition. Bio-Medical Materials and Engineering, 24(1), 365-371. https://doi.org/10.3233/BME-130820