Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques. (13th June 2013)

• Record Type: Journal Article
• Authors: Castillo, E.; Morales, D. P.; García, A.; Martínez-Martí, F.; Parrilla, L.; Palma, A. J.
• Other Names: Im Chang-Hwan Academic Editor.
• Is Part Of: Journal of applied mathematics. Volume 2013(2013)
• Publication Date: 2013-06-13
• Subjects: Mathematics -- Periodicals; 519.05
• DOI: 10.1155/2013/763903
• Languages: English
• ISSNs: 1110-757X

Abstract

Abstract : 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.