Noise cancellation in ECG signals using normalized Sign-Sign LMS algorithm

In this paper, a simple and efficient normalized Sign-Sign LMS algorithm is proposed for the removal of different kinds of noises from the ECG signal. The proposed implementation is suitable for applications requiring large signal to noise ratios with less computational complexity. The proposed scheme mostly employs simple addition and shift operations and achieves considerable speed up over the other LMS based realizations. Simulation studies shows that the proposed realization gives better performance compared to existing realizations in terms of signal to noise ratio.