DocumentCode :
3666831
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
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1425
Lastpage :
1428
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"
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
Type :
conf
DOI :
10.1109/CYBER.2015.7288152
Filename :
7288152
Link To Document :
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