ECG denoising using modulus maxima of wavelet transform

Author

Ayat, Mohammad ; Shamsollahi, Mohammad B. ; Mozaffari, Behrooz ; Kharabian, Shahrzad

Author_Institution

Biomed. Signal & Image Process. Lab. (BiSIPL), Sharif Univ. of Technol., Tehran, Iran

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

416

Lastpage

419

Abstract

ECG denoising has always been an important issue in medical engineering. The purposes of denoising are reducing noise level and improving signal to noise ratio (SNR) without distorting the signal. This paper proposes a method for removing white Gaussian noise from ECG signals. The concepts of singularity and local maxima of the wavelet transform modulus were used for analyzing singularity and reconstructing the ECG signal. Adaptive thresholding was used to remove white Gaussian noise modulus maximum of wavelet transform and then reconstruct the signal.

Keywords

Gaussian noise; electrocardiography; medical signal processing; signal denoising; signal reconstruction; wavelet transforms; white noise; ECG denoising; ECG signal reconstruction; adaptive thresholding; medical engineering; modulus maxima of wavelet transform modulus; signal to noise ratio; white Gaussian noise removal; ECG Denoising; lipschitz exponents; singular points; wavelet transform; Algorithms; Artifacts; Diagnosis, Computer-Assisted; Electrocardiography; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5332617

Filename

5332617