Key result
A DA FIR filter coupled with Kaiser windowing technique effectively reduced EMG noise in ECG signals, resulting in clearer and more accurate signals for diagnostic purposes.
Why the study?
The study was conducted to address the problem of noise interference in ECG signals, specifically to filter out electromyography noise.
Population
ECG signals with varying levels of EMG noise from the MIT-BIH dataset
Comparison
DA FIR filter coupled with Kaiser windowing technique
Authors
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May aid ECG denoising in research settings; leaves open clinical validation and outcome impact.
A DA FIR filter with Kaiser windowing effectively reduces EMG noise in ECG signals, improving signal clarity for diagnostics.
Muhumed et al. (2023) studied ECG signals with EMG noise interference. DA FIR filter coupled with Kaiser windowing technique was evaluated on Signal-to-Noise Ratio (SNR) and Mean Squared Error (MSE). A DA FIR filter coupled with Kaiser windowing technique effectively reduced EMG noise in ECG signals, resulting in clearer and more accurate signals for diagnostic purposes.
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