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