Title :
Comparative filtering methods for noisy ECG signals
Author :
Adochiei, Felix ; Edu, Ioana ; Adochiei, Narcis
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;
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2011
Conference_Location :
Iasi
Print_ISBN :
978-1-4577-0292-1
