ECG Baseline Wander Correction Based on Mean-median Filter and Empirical Mode Decomposition

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China

Article type: Research Article

Authors: Xin, Yi^; | Chen, Yu | Hao, Wei Tuo

Affiliations: Department of Biomedical Engineering, Beijing Institute of Technology, 100081, Beijing, China

Note: [] Corresponding author: Yi Xin. E-mail: ameko@bit.edu.cn.

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.

Keywords: ECG, Baseline Wander, Mean-median Filter, Empirical Mode Decomposition

DOI: 10.3233/BME-130820

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 365-371, 2014