ECG SIGNAL DENOISING - Using Wavelet in Besov Spaces

Shi Zhao, Yiding Wang, Hong Yang

Abstract

This paper proposes a novel technique to eliminate the noise in practical electrocardiogram (ECG) signals. Two state-of-the-art denoising techniques, which both based on wavelet bases, are combined together. The first one is discussing wavelet bases in Besov spaces. Compared to traditional algorithms, which discuss wavelets in L2 (R) spaces, the proposed technique projects ECG signals onto Besov spaces for the first time. Besov space is a more sophisticated smoothness space. Determining the threshold of shrinkage function in Besov space could eliminate Gibbs phenomenon. In addition, instead of using linear shrinkage function, the proposed algorithm uses nonlinear hyper shrinkage function, which is proposed by Poornachandra. The function tends to keep a few larger coefficients representing the function while the noise coefficients tend to be reduced to zero. Combining the two techniques, we obtain a significant improvement over conventional ECG denoising algorithm.

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Paper Citation


in Harvard Style

Zhao S., Wang Y. and Yang H. (2008). ECG SIGNAL DENOISING - Using Wavelet in Besov Spaces . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 250-254. DOI: 10.5220/0001058302500254


in Bibtex Style

@conference{biosignals08,
author={Shi Zhao and Yiding Wang and Hong Yang},
title={ECG SIGNAL DENOISING - Using Wavelet in Besov Spaces},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={250-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001058302500254},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - ECG SIGNAL DENOISING - Using Wavelet in Besov Spaces
SN - 978-989-8111-18-0
AU - Zhao S.
AU - Wang Y.
AU - Yang H.
PY - 2008
SP - 250
EP - 254
DO - 10.5220/0001058302500254