Robust ECG Denoising for eHealth Applications

Portable monitoring devices have provided an important cost-effective solution in the development of eHealth applications, providing opportunities for population-wide promotion of physical activity. Monitoring heart profile parameters during extensive activities allows to screen possible pathological conditions, thus helping prevent heart diseses. However, accurately monitoring heart conditions during physical activities represents a challenging problem due to significantly degraded quality of ECG signals. In this paper we propose a solution that enables complete analysis of the ECG signal acquired by a wearable low-cost ECG measuring system, through the implementation of a robust denoising algorithm.