ECG Baseline Wander Correction Based on Mean-median Filter and Empirical Mode Decomposition
Yi XinDepartment of Biomedical Engineering, Beijing Institute of Technology, 100081, Beijing, ChinaYu ChenDepartment of Biomedical Engineering, Beijing Institute of Technology, 100081, Beijing, ChinaWei Tuo HaoDepartment of Biomedical Engineering, Beijing Institute of Technology, 100081, Beijing, China
2014en
ABI
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.
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