Fractal and EMD based removal of baseline wander and powerline interference from ECG signals

Abstract This paper presents novel methods for baseline wander removal and powerline interference removal from electrocardiogram (ECG) signals. Baseline wander and clean ECG have been modeled as 1st and 2nd-order fractional Brownian motion (fBm) processes, respectively. This fractal modeling is util...

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Bibliographic Details
Published in:Computers in biology and medicine 2013-11, Vol.43 (11), p.1889-1899
Main Authors: Agrawal, Sakshi, Gupta, Anubha
Format: Article
Language:English
Subjects:
Algorithms
Arrhythmias, Cardiac
Automation
Baseline wander
Brownian motion
Decomposition
Disease
ECG signal
Electrocardiography
Electrocardiography - methods
fBm
Fractals
Heart
Humans
Hurst exponent
Internal Medicine
Methods
Noise
Other
Projection operator
Signal Processing, Computer-Assisted
Signal-To-Noise Ratio
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Summary:Abstract This paper presents novel methods for baseline wander removal and powerline interference removal from electrocardiogram (ECG) signals. Baseline wander and clean ECG have been modeled as 1st and 2nd-order fractional Brownian motion (fBm) processes, respectively. This fractal modeling is utilized to propose projection operator based approach for baseline wander removal. Powerline interference is removed by using a hybrid approach of empirical mode decomposition method (EMD) and wavelet analysis. Simulation results are presented to show the efficacy of both the methods. The proposed methods have been shown to preserve ECG shapes characteristic of heart abnormalities.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2013.07.030