Analysis of Noise Cancellation Techniques for Enhancing the ECG Signals

Electrocardiogram (ECG) signals are fundamental physiological indicators used extensively in clinical settings. However, their utility can be compromised by various sources of noise and interference. This article presents simplified signal processing techniques aimed at enhancing ECG signals by removing noise effectively. The proposed methods include adaptive sequential filtering, high-pass filtering for baseline wander removal and band-stop filtering for powerline interference mitigation. Through simulations and analysis, our results demonstrate the efficacy of these techniques in significantly improving the quality of ECG signals by attenuating noise while preserving essential signal features.