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
Link To Document :
بازگشت