ECG Signal De-noising with Signal Averaging and Filtering Algorithm

Abstract

This study uses the signal averaging and filtering method for ECG signal de-noising and R-wave detection with moving minimum slot and maximum point selecting method. Signal averaging and filtering method reduces random noise (major component of EMG noise) in ECG signal and also gives the comparatively good result for baseline wander noise cancellation. Signal to noise ratio (SNR) improves in filtered ECG signal, while signal shape is also remains undistorted. Comparative observation of Normal ECG and stress ECG (recorded from wearable ubiquitous sensor node) is made on basis of heart rate calculation and signal to noise ratio. We conclude that R-wave detection with moving minimum slot and maximum point selecting method and signal averaging and filtering method gives the comparatively good result without signal distortion.