A method of wavelet-based dual thresholding de-noising for ECG signal

Author

Liu Yi ; Yu-qing Song

Author_Institution

Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang, China

fYear

2014

fDate

14-16 Oct. 2014

Firstpage

1085

Lastpage

1089

Abstract

ECG (Electrocardiography) signal is one of important means of clinical diagnosis for heart disease which has great significance in clinical medicine. De-noising is a critical task in the preprocess of ECG signal. This paper proposed a dual thresholding function and a level-dependent threshold estimator by the different thresholds estimated based on wavelet coefficients in different layers. Experiments were carried out and the results suggest that the proposed new threshold algorithm is suitable to remove the ECG signal noise and has potential in ECG signal processing field.

Keywords

diseases; electrocardiography; medical signal processing; signal denoising; wavelet transforms; ECG signal noise; ECG signal preprocessing; ECG signal processing field; clinical diagnosis; clinical medicine; dual thresholding function; electrocardiography; heart disease; level-dependent threshold estimator; threshold algorithm; wavelet coefficients; wavelet-based dual thresholding denoising; Electrocardiography; Noise reduction; Signal processing algorithms; Signal to noise ratio; Wavelet coefficients; De-noising; ECG Signal; Threshold De-noising; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2014 7th International Congress on

Conference_Location

Dalian

Type

conf

DOI

10.1109/CISP.2014.7003941

Filename

7003941