A real time approach for ECG signal denoising and smoothing using adaptive window technique

The presence of parasite interference signals could cause serious problems in the registration of ECG signals and many works have been done to suppress these noise signals. By conducting a mathematical method based on varying window length as according to the distance from the adjacent R_peak which are assumed to be high frequency noise (power line interference, electromyography noise) is removed with the help of the varying window mean procedure and the low frequency noise (base-line wandering, motion artifact) removal task is done with the help of Fast Fourier Transform. The process is evaluated for manually corrupted ECG signals and is validated for actual recorded ECG signals.