Title :
Research on the method of ECG denoising based on improved wavelet packet
Author :
Shi Gang;Rong Liang;Gao Yuhan
Author_Institution :
Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
In order to solve the noising problems caused of the baseline drift interference, frequency interference, and EMG (electromyogram) interference in the ECG (electrocardiogram) signal, in this paper, an improved wavelet packet denoising algorithm is proposed, based on the analysis of the characteristic of ECG signal. For removing the baseline drift and the part of EMG interference in ECG signal, we adopt the Wavelet packet algorithm, however, for the removal of noise from frequency interference and part of the EMG interference, the method of threshold denoising is proposed. Simulation researches show that the denoising capability of improved wavelet packet algorithm is better than the digital filter, Mallat algorithm, the wavelet transform threshold method, and the wavelet packet algorithm.
Keywords :
"Electrocardiography","Wavelet packets","Noise reduction","Algorithm design and analysis","Interference","Noise"
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
DOI :
10.1109/CYBER.2015.7288152