A COMPUTATIONAL ANALYSIS OF THE EFFECTIVENESS OF FAST FOURIER TRANSFORM IN DENOISING ECG SIGNALS

The acquisition of biological signals like ECG includes the presence of noise from power line interference, muscle artefacts etc. Mathematical functions like Fourier Transform (FT) can be used to selectively eliminate specific noise frequencies from the signals. FT converts 1-D signals in their time-domain to frequency-domain. Subsequently, setting the amplitude of the noise frequency to zero, and applying the inverse FT function reconverts the signal back to its time-domain. This process removes the noise from the signals. In this paper we computationally demonstrate denoising the ECG signals using Fast Fourier Transform algorithm.