title: ECG signal denoising via empirical wavelet transform.
abstract: This paper presents new methods for baseline wander correction and powerline interference reduction in electrocardiogram (ECG) signals using empirical wavelet transform (EWT). During data acquisition of ECG signal, various noise sources such as powerline interference, baseline wander and muscle artifacts contaminate the information bearing ECG signal. For better analysis and interpretation, the ECG signal must be free of noise. In the present work, a new approach is used to filter baseline wander and power line interference from the ECG signal. The technique utilized is the empirical wavelet transform, which is a new method used to compute the building modes of a given signal. Its performance as a filter is compared to the standard linear filters and empirical mode decomposition.The results show that EWT delivers a better performance.
authors.affiliation: Department of Electronics and Communication Engineering, Dr B. R Ambedkar National Institute of Technology, Jalandhar, Punjab, 144 011, India. omkar.parihar@gmail.com.
authors.forename: Omkar
authors.initials: O
authors.lastname: Singh
authors.affiliation: Department of Electronics and Communication Engineering, Dr B. R Ambedkar National Institute of Technology, Jalandhar, Punjab, 144 011, India.
authors.forename: Ramesh Kumar
authors.initials: RK
authors.lastname: Sunkaria
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D019992:Databases as Topic; D004562:Electrocardiography; D005583:Fourier Analysis; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis
keywords: Baseline wander; Electrocardiogram; Empirical mode decomposition; Empirical wavelet transform; Powerline interference