ECG baseline wander correction based on mean-median filter and empirical mode decomposition

Yi Xin*, Yu Chen, Wei Tuo Hao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

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 languageEnglish
Pages (from-to)365-371
Number of pages7
JournalBio-Medical Materials and Engineering
Volume24
Issue number1
DOIs
Publication statusPublished - 2014

Keywords

  • Baseline Wander
  • ECG
  • Empirical Mode Decomposition
  • Mean-median Filter

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