A Numerical Scheme for the Denoising of Electrocardiogram Signals

High quality Electrocardiogram (ECG) data is very important because this signal is generally used for the analysis of heart diseases. Wearable sensors are widely adopted for physical activity monitoring and for the provision of healthcare services, but noise always degrades the quality of these signals. In this paper, we propose a novel numerical scheme for ECG Signal denoising with low computational requirements. It is computationally cheap because it belongs to the class of Infinite Impulse Response (IIR) noise reduction algorithms. The main contribution of the proposed scheme is that it does not require a direct application of the Fast Fourier Transform. Moreover, it offers the possibility of implementation on mobile computing devices in an easy way. Experiments on real datasets have been carried out in order to test the algorithm.