title: ECG baseline wander correction based on mean-median filter and empirical mode decomposition.
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.
authors.affiliation: Department of Biomedical Engineering, Beijing Institute of Technology, 100081, Beijing, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Xin
authors.forename: Yu
authors.initials: Y
authors.lastname: Chen
authors.forename: Wei Tuo
authors.initials: WT
authors.lastname: Hao
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis / Q000473:pathology; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography; D006801:Humans; D017202:Myocardial Ischemia / Q000473:pathology; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software
keywords: Baseline Wander; ECG; Empirical Mode Decomposition; Mean-median Filter