Why the study?
ECG signals have low frequency and weak amplitude, making them susceptible to noise that reduces diagnostic quality, motivating better reduction of broadband EMG noise.
Population
ECG signal from standard MIT/BIH arrhythmia database sampled at 360 Hz-per second
Comparison
Combined wavelet wiener and NLMS based filter vs other existing techniques
Authors
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New ECG noise-reduction filter may enhance signal quality; leaves open clinical validation and diagnostic utility.
A novel adaptive filter combination effectively reduces EMG noise in ECG signals, improving signal quality for diagnostic purposes.
Khiter et al. (2020) studied this question.
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