Key result
Wavelet filtering and notch filters successfully removed 60 Hz frequency interference and baseline wander from raw ECG signals obtained from the MIT-BIH Arrhythmia database.
Why the study?
Automated biomedical systems are needed to monitor heart health via ECG parameters even in the absence of medical experts.
Answers are grounded in this paper and cite their sources.
Wavelet filtering and notch filters effectively remove 60 Hz noise and baseline wander from ECG signals, improving signal quality for automated analysis.
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Vikas Dubey (2019) studied ECG signal noise (baseline wander and 60 Hz interference). Wavelet filtering and notch filter vs. Unfiltered raw ECG signal was evaluated on Removal of baseline wander and 60 Hz noise. Wavelet filtering and notch filters successfully removed 60 Hz frequency interference and baseline wander from raw ECG signals obtained from the MIT-BIH Arrhythmia database.
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