Key result
The MCC-based adaptive filtering algorithm achieved an average signal-to-noise ratio improvement of 11.03 dB and a correlation coefficient of 0.95 in ECG signals corrupted by impulsive noise.
Population
ECG signal records from MIT-BIH arrhythmia and EMBC databases corrupted by simulated impulsive noise.
Comparison
Adaptive filtering noise cancellation using… vs Least mean square and least-mean P-power…
Design
Other
Authors
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May aid ECG denoising in noisy settings; leaves open clinical validation before practice adoption.
Effect estimate: 11.03 dB average improvement
An adaptive filtering algorithm based on the maximum correntropy criterion effectively suppresses impulsive noise in ECG signals, improving signal-to-noise ratio.
Khalili et al. (2016) studied ECG signal corrupted by impulsive noise (n=6). Maximum correntropy criterion (MCC)-based adaptive filtering algorithm vs. Noisy ECG signal was evaluated on Signal-to-noise ratio (SNR) improvement (11.03 dB average improvement). The MCC-based adaptive filtering algorithm achieved an average signal-to-noise ratio improvement of 11.03 dB and a correlation coefficient of 0.95 in ECG signals corrupted by impulsive noise.
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