Key result
Band pass filtering and Savitzky-Golay filtering were compared for noise reduction in normal ECGs by calculating the signal to noise ratio, though quantitative results were not reported.
This study compares band pass and Savitzky-Golay filtering techniques for noise reduction in normal ECG signals based on signal-to-noise ratio.
ECG denoising filter choice lacks quantitative SNR guidance; leaves open optimal method selection for research applications.
Digital or electronic displays of biosignals like electrocardiograms (ECGs) require noise reduction for accurate representation. In this paper noise reduction of normal ECG has been done using two types of filtering. The first type is band pass filtering of ECG, the filter taken from Pan Tompkins’ algorithm of QRS detection, and the second type is Savitzky- Golay filtering of ECG. The band pass filter consists of a low pass filter with subsequent high pass filter. Then signal to noise ratio (SNR) has been calculated for the two types, after filtering to compare which method is better for ECG filtering.
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Chakraborty et al. (2012) studied Normal ECG. Band pass filtering and Savitzky-Golay filtering was evaluated on Signal to noise ratio (SNR). Band pass filtering and Savitzky-Golay filtering were compared for noise reduction in normal ECGs by calculating the signal to noise ratio, though quantitative results were not reported.
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