Key result
The Variable Step Size Least Mean Fourth (VSS-LMF) algorithm effectively reduced power line interference in ECG signals, achieving a maximum average Signal to Noise Ratio of 12.7308 dB and a Mean Square Error of 2.87e-04.
Why the study?
In remote cardiac diagnosis, ECG signals are degraded by artifacts like powerline interference and channel noise, requiring adaptive filters to effectively reduce noise.
Comparison
Variable step size leaky least mean fourth algorithm and sign versions vs LMS algorithm
Authors
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May enhance ECG signal quality in practice; extends LMS methods but remains hypothesis-generating.
The proposed VSS-LMF adaptive algorithm and its sign variants efficiently reduce power line interference in ECG signals with higher SNR and lower mean square error than traditional LMS algorithms.
Gowri et al. (2019) studied Arrhythmia (ECG signal processing) (n=7). Variable Step Size Least Mean Fourth (VSS-LMF) algorithm vs. Least Mean Square (LMS) algorithm was evaluated on Average Signal to Noise Ratio (SNR) in dB. The Variable Step Size Least Mean Fourth (VSS-LMF) algorithm effectively reduced power line interference in ECG signals, achieving a maximum average Signal to Noise Ratio of 12.7308 dB and a Mean Square Error of 2.87e-04.
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