The combination of Kaiser window and moving average for the low-pass filtering of the remote ECG signals

After an analog ECG signal is transferred into digital format, a suitable digital filter can be used to suppress the high-frequency embedded noise. In this paper, we use the equiripple FIR low-pass filter by superimposing of the optimal method, the Butterworth IIR low-pass filter, the 8-point moving-average filter and the FIR filter designed by using a Kaiser window. Furthermore, we combine the 8-point moving-average filter with the FIR filter designed by using a Kaiser window. In addition, we use the mean square error (M. S. E.) to estimate the effect of the digital filters in order to compare the reduction of the embedded high-frequency noise. Hence, we compute the mean square error with respect to the order, N, of these filters and plot the relationship between M. S. E. and N. Finally, we find the relationship between the CPU time and N.