Joint denoising and narrowband artifact rejection for ECG signals

ECG signals are corrupted by various kinds of noise and artifacts that may negatively affect any subsequent analysis. In particular, narrowband artifacts include power-line interference and harmonic artifacts. Customarily, noise reduction and artifact rejection are tackled as two distinct problems. In this paper, we propose a joint approach to de-noising and narrowband artifact rejection that exploits the local structure of a noisy ECG. Simulation results confirm the effectiveness of the approach and highlight a notable ability to remove both noise and narrowband artifacts in ECG signals.