Key result
A novel adaptive filter approach using a delayed version of the primary ECG signal successfully denoised simulated ECG signals in real-time without requiring an external reference noise signal.
Why the study?
Existing ECG noise removal methods take too long to clean the signal and cannot be used for online processing.
Does a novel adaptive filter approach improve real-time ECG signal denoising?
Population
Simulated ECG signal using MATLAB software
Comparison
Adaptive filters using a unit delay and the primary ECG signal with LMS, NLMS, and Leaky LMS algorithms
Design
Simulation study
Authors
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Supports simulated feasibility for real-time ECG denoising; leaves open prospective clinical validation.
Does a novel adaptive filter approach improve real-time ECG signal denoising?
A novel adaptive filter approach using a unit delay and the primary ECG signal itself may enable real-time ECG signal denoising.
Amean Al-Safi (2021) studied ECG signal noise. Adaptive filters (LMS, NLMS, Leaky LMS) with delayed primary signal vs. Standard adaptive filters requiring external reference signal was evaluated on ECG signal denoising. A novel adaptive filter approach using a delayed version of the primary ECG signal successfully denoised simulated ECG signals in real-time without requiring an external reference noise signal.
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