Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
DOI :
10.1109/CISP.2014.7003941
