Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition

Praveen Gupta; Kamalesh Kumar Sharma; Shiv Dutt Joshi

Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition

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Author(s): Praveen Gupta ¹ ; Kamalesh Kumar Sharma ¹ ; Shiv Dutt Joshi ²
- Affiliations: 1: Department of Electronics and Communication Engineering, Malviya National Institute of Technology, 26, Gayatri Nagar-B, Durgapura, Jaipur, Rajasthan 302018, India ;
  2: Department of Electrical Engineering, Indian Institute of Technology, New Delhi 110016, India
Source: Volume 2, Issue 6, December 2015, p. 164 – 166
DOI: 10.1049/htl.2015.0029 , Online ISSN 2053-3713

Received 19/07/2015, Accepted 26/10/2015, Revised 02/10/2015, Published 26/11/2015

A new method for removing the baseline wander (BW) noise based on multivariate empirical mode decomposition is presented. The proposed method is compared with recently introduced technique for BW removal using Hilbert vibration decomposition in terms of correlation coefficient criterion and signal-to-noise ratio. To evaluate the performance of the proposed method, real BW signals are added to synthetic and clinical electrocardiogram (ECG) signals. It is shown that presented methodology has significant scope of removing BW noise in real world ECG signals.

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