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Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques
Joint Authors
García, Antonio
Castillo, E.
Palma, A. J.
Morales, D. P.
Parrilla, L.
Martínez-Martí, F.
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-13
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Castillo, E.& Morales, D. P.& García, Antonio& Martínez-Martí, F.& Parrilla, L.& Palma, A. J.. 2013. Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-496934
Modern Language Association (MLA)
Castillo, E.…[et al.]. Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques. Journal of Applied Mathematics No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-496934
American Medical Association (AMA)
Castillo, E.& Morales, D. P.& García, Antonio& Martínez-Martí, F.& Parrilla, L.& Palma, A. J.. Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-496934
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496934