DocumentCode
561401
Title
Comparative filtering methods for noisy ECG signals
Author
Adochiei, Felix ; Edu, Ioana ; Adochiei, Narcis
fYear
2011
fDate
24-26 Nov. 2011
Firstpage
1
Lastpage
4
Abstract
In this paper are presented, compared and analyzed two of the most frequently used methods for the ECG signal filtering: the Wavelet denoising method and the Adaptive filtering method. There were highlighted the features, performances and selection capabilities achieved by the filters. For the research efficiency and completeness, over our simulated signal were superposed different types of disruptive noises, such as white noise, 50 Hz noise frequency, harmonics and Gaussian noise.
Keywords
Gaussian noise; electrocardiography; filtering theory; medical signal processing; signal denoising; wavelet transforms; ECG signal filtering; Gaussian noise; adaptive filtering method; comparative filtering methods; frequency 50 Hz; wavelet denoising method; white noise; Adaptive filters; Electrocardiography; Filtering; Noise; Power harmonic filters; Wavelet transforms; Adaptive filtering; ECG filtering; Wavelet denoise;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Health and Bioengineering Conference (EHB), 2011
Conference_Location
Iasi
Print_ISBN
978-1-4577-0292-1
Type
conf
Filename
6150331
Link To Document