Title :
ECG Signals Denoising Using Neighbouring Coefficients
Author_Institution :
Dept. of Electron. Eng., Xi´´An Univ. of Technol., Xi´´An, China
Abstract :
In order to separate the valid ECG signals from the undesired artifacts, the neighboring coefficients thresholding scheme with a level dependent threshold estimator was employed in our study. The noisy ECG signals were obtained by adding three types of noise to the synthetic ECG signal and real ECG signals. Experimental results show that our method can effectively suppress the noise and is better than the hard thresholding method. Comparing the hard thresholding, the average SNR improvement of the results denoised by the neighboring coefficients scheme was increased by 0.767dB.
Keywords :
electrocardiography; medical signal processing; signal denoising; ECG signal denoising; neighbouring coefficients; Electrocardiography; Noise measurement; Noise reduction; Signal denoising; Signal to noise ratio; Wavelet coefficients;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5780243