Key result
Signal processing techniques such as high-pass, low-pass, notch, and adaptive filters, as well as wavelet transforms, can effectively remove baseline wander, powerline interference, EMG noise, and motion artifacts from ECG signals.
This chapter introduces basic signal processing techniques and Matlab code for removing common noise sources from ECG signals.
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May enhance ECG diagnostic quality in noisy settings; leaves open optimal technique selection pending comparative trials.
A 2019 study conducted a review in ECG noise artifacts. Signal processing techniques (filters, wavelet transform, adaptive filtering) was evaluated on Removal of noise from ECG signals. Signal processing techniques such as high-pass, low-pass, notch, and adaptive filters, as well as wavelet transforms, can effectively remove baseline wander, powerline interference, EMG noise, and motion artifacts from ECG signals.