Key result
The Normalized Least Mean Square (NLMS) adaptive filter demonstrated superior performance in removing power-line interference, baseline wandering, and muscle contraction noise from ECG signals compared to the LMS filter.
Population
ECG signals from the MIT-BIH arrhythmia database
Comparison
Adaptive Normalized Least Mean Square filter vs Adaptive Least Mean Square (LMS) filter
Design
Other
Authors
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NLMS may aid ECG denoising in research settings; leaves open clinical validation before practice change.
The adaptive NLMS filter is superior to the LMS filter for removing various types of noise from ECG signals.
Sharma et al. (2016) studied ECG signal noise (n=8). Normalized Least Mean Square (NLMS) adaptive filter vs. Least Mean Square (LMS) adaptive filter was evaluated on Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE). The Normalized Least Mean Square (NLMS) adaptive filter demonstrated superior performance in removing power-line interference, baseline wandering, and muscle contraction noise from ECG signals compared to the LMS filter.
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