Journal of Applied Mathematics
Volume 2013 (2013), Article ID 763903, 13 pages
Research Article

Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques

Department of Electronics and Computer Technology, ETSIIT, University of Granada, C/ Daniel Saucedo Aranda, 18071 Granada, Spain

Received 16 March 2013; Accepted 13 May 2013

Academic Editor: Chang-Hwan Im

Copyright © 2013 E. Castillo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper illustrates the application of the discrete wavelet transform (DWT) for wandering and noise suppression in electrocardiographic (ECG) signals. A novel one-step implementation is presented, which allows improving the overall denoising process. In addition an exhaustive study is carried out, defining threshold limits and thresholding rules for optimal wavelet denoising using this presented technique. The system has been tested using synthetic ECG signals, which allow accurately measuring the effect of the proposed processing. Moreover, results from real abdominal ECG signals acquired from pregnant women are presented in order to validate the presented approach.