An Efficient Noise Cancellation Technique to Remove Noise from the ECG Signal Using Normalized Signed Regressor LMS Algorithm

In this paper, we present a simple and efficient normalized signed regressor LMS (NSRLMS) algorithm, that can be applied to ECG signal in order to remove various artifacts from them. This algorithm enjoys less computational complexity because of the sign present in the algorithm and good filtering c...

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Bibliographic Details
Main Authors: Ur Rahman, M.Z., Shaik, R.A., Reddy, D.V.R.K.
Format: Conference Proceeding
Language:English
Subjects:
adaptive filtering
Adaptive filters
Biomedical engineering
Computational complexity
ECG
Educational institutions
Electrocardiography
Filtering algorithms
Finite impulse response filter
Least squares approximation
Noise cancellation
Signal to noise ratio
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Summary:In this paper, we present a simple and efficient normalized signed regressor LMS (NSRLMS) algorithm, that can be applied to ECG signal in order to remove various artifacts from them. This algorithm enjoys less computational complexity because of the sign present in the algorithm and good filtering capability because of the normalized term. As a result it is particularly suitable for applications requiring large signal to noise ratios with less computational complexity. Simulation studies shows that the proposed realization gives better performance compared to existing realizations in terms of signal to noise ratio.
DOI:10.1109/BIBM.2009.39