R-peaks detection based on stationary wavelet transform

Highlights • This work makes a R-peaks detection based on stationary wavelet transform (SWT). • It has the same sampling time of the signal. • It inherently leads to more accurate estimation of the QRS fiducial points. • It detect R peaks over different types of arrhythmias and types of noise. • Onl...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2015-10, Vol.121 (3), p.149-160
Main Authors: Merah, M, Abdelmalik, T.A, Larbi, B.H
Format: Article
Language:English
Subjects:
Algorithms
Automatic
ECG
Electrocardiography
Engineering Sciences
Humans
Internal Medicine
Other
R-peaks detection
Reproducibility of Results
Signal Processing, Computer-Assisted
Stationary wavelet transform (SWT)
Wavelet transform
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Summary:Highlights • This work makes a R-peaks detection based on stationary wavelet transform (SWT). • It has the same sampling time of the signal. • It inherently leads to more accurate estimation of the QRS fiducial points. • It detect R peaks over different types of arrhythmias and types of noise. • Only one scale of SWT is applied, in order to reduce the computational complexity.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2015.06.003