A new method for denoising ECG signal using sharp cut-off FIR filter

An electrocardiogram (ECG) is a graphical interface that shows its implication for the diagnosis of various cardiac problems by recording the electrical activity of heart with respect to time. Being very sensitive, mostly the amplitude and time period of the ECG signal is corrupted by noises and artifacts during data acquisition, which make the signal analysis much tougher. In this paper, a linear phase, sharp cut-off FIR filter is adopted for removing such noise from the corrupted ECG signal. To make sense, filtered ECG signal is compared with the original one. In order to establish the efficiency of the proposed approach for denoising ECG signal, outcome is also compared with that of the existing ones by means of a number of parameters.