Reducing computational cost of ECG signal using multirate signal processing

The aim of this paper is reducing the computational costs of ECG-signal processing as compare to former method of digital filtering. We use multi-rate signal processing methods for the separation of slow wave periodic components in the heart rhythm in real time mode. Multi-stage structure for down sampling is designed. The MATLAB simulation has been used to evaluate and compare the computational cost for proposed model and known approaches. Our goal is reducing the filter length and aliasing.