Population
ECG signals from the MIT-BIH database containing normal and abnormal waveforms
Comparison
FIR digital filters with various windowing… vs Comparison among different windowing methods and…
Design
Other
Key result
FIR filters using the Kaiser Window demonstrated excellent outcomes for removing baseline wandering and electromyography noise from ECG signals compared to other windowing methods.
Authors
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May aid ECG preprocessing in practice; leaves open clinical validation before adoption.
The Kaiser windowing method for FIR filters provides superior ECG signal enhancement by effectively removing low and high-frequency interference.
Kumar et al. (2014) studied ECG signal artifacts. FIR filters with Kaiser Window vs. Other windowing methods (Rectangular, Hann, Blackman, Hamming) was evaluated on Signal to noise ratio (SNR) and mean square error (MSE). FIR filters using the Kaiser Window demonstrated excellent outcomes for removing baseline wandering and electromyography noise from ECG signals compared to other windowing methods.