Study on limitation of removal of baseline noise from electrocardiography signal in measurement using wavelet analysis

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...

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Bibliographic Details
Published in2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN) pp. 481 - 486
Main Authors Duong Trong Luong, Nguyen Due Thuan, Chu Due Hoang, Nguyen Van Trang, Trinh Quang Due
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
Baseline noise removement
Discrete wavelet transform (DWT)
Labview software
Software
Wavelet analysis
wavelet functions
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Summary: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).
ISSN:2165-8528
DOI:10.1109/ICUFN.2013.6614867