DocumentCode :
3267005
Title :
Study on limitation of removal of baseline noise from electrocardiography signal in measurement using wavelet analysis
Author :
Duong Trong Luong ; Nguyen Due Thuan ; Chu Due Hoang ; Nguyen Van Trang ; Trinh Quang Due
Author_Institution :
Dept. of Biomed. Eng., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
fYear :
2013
fDate :
2-5 July 2013
Firstpage :
481
Lastpage :
486
Abstract :
Measured electrocardiography (ECG) is often contaminated with noises such as power line, baseline noise and white noise. So it´s difficult to diagnose heart disease accurately This paper presents the research and evaluate the effectiveness of baseline noise filtering in the electrocardiography signal with the amplitude and frequency of the baseline noise are varied based on criteria Mean Square Error. We have carried out testing with simulation and measured electrocardiography signal from volunteers. Tools used to research in this report is WA Detrend.vi in Labview 2011 and the best suitable wavelet function based on discrete wavelet transform (DWT).
Keywords :
discrete wavelet transforms; electrocardiography; mean square error methods; medical signal processing; signal denoising; DWT; ECG; Labview 2011; WA Detrend.vi; baseline noise filtering; criteria mean square error; discrete wavelet transform; electrocardiography signal; heart disease diagnosis; measured electrocardiography; white noise; Software; Wavelet analysis; Baseline noise removement; Discrete wavelet transform (DWT); Labview software; wavelet functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2013 Fifth International Conference on
Conference_Location :
Da Nang
ISSN :
2165-8528
Type :
conf
DOI :
10.1109/ICUFN.2013.6614867
Filename :
6614867
Link To Document :
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