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Background Noise Cancellation Using Adaptive LMS Algorithm in Medical Applications

In this paper, the implementation of an adaptive least-mean-square (LMS) algorithm has been proposed to remove the 50/60Hz noise from an electrocardiogram (ECG) signal. The simulation is performed using Matlab. The ECG signal together with noise has been generated by writing a program. There is noticeable improvement in the filtered ECG in comparison to the unfiltered ECG signal in terms of power spectral density and harmonic distortion suggesting that adaptive filtering achieves accurate filtering without substantial signal degradation.