title: Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition.
abstract: 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.
authors.affiliation: Department of Electronics and Communication Engineering , Malviya National Institute of Technology , 26, Gayatri Nagar-B, Durgapura, Jaipur, Rajasthan 302018 , India.
authors.forename: Praveen
authors.initials: P
authors.lastname: Gupta
authors.affiliation: Department of Electronics and Communication Engineering , Malviya National Institute of Technology , 26, Gayatri Nagar-B, Durgapura, Jaipur, Rajasthan 302018 , India.
authors.forename: Kamalesh Kumar
authors.initials: KK
authors.lastname: Sharma
authors.affiliation: Department of Electrical Engineering , Indian Institute of Technology , New Delhi 110016 , India.
authors.forename: Shiv Dutt
authors.initials: SD
authors.lastname: Joshi
keywords: ECG; Hilbert transforms; Hilbert vibration decomposition; baseline wander removal; correlation coefficient criterion; electrocardiogram signals; electrocardiography; medical signal processing; multivariate empirical mode decomposition; signal denoising; signal-to-noise ratio