DocumentCode
1917704
Title
ECG statistical denoising in the wavelet domain
Author
Arvinti, Beatrice ; Costache, Marius ; Toader, Dumitru ; Oltean, Marius ; Isar, Alexandru
Author_Institution
Dept. of Phys. Foundations of Eng., UPT, Timisoara, Romania
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
307
Lastpage
310
Abstract
The paper presents a denoising algorithm particularly suited to ECG signals processing. The main stage of this algorithm consists in a MAP filtering in the wavelet domain. Its effectiveness relies on the qualities of the wavelet transform and of the statistical filter used. Tests made on ECG signals, in realistic conditions, showed very promising results. The noise is almost completely removed, while the useful waveforms are preserved.
Keywords
electrocardiography; filtering theory; medical signal processing; signal denoising; statistical analysis; wavelet transforms; ECG signals processing; ECG statistical denoising; MAP filtering; statistical filter; wavelet transform; Electrocardiography; Filtering; Noise; Noise reduction; Wavelet coefficients; Wavelet domain; ECG; MAP; denoising; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Telecommunications (ISETC), 2010 9th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4244-8457-7
Type
conf
DOI
10.1109/ISETC.2010.5679269
Filename
5679269
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