Population
Raw noisy ECG signals
Comparison
FIR digital filters with a proposed new… vs FIR digital filters using existing windows
Design
Other
Key result
A proposed window function based on the clonal selection algorithm achieved a significantly higher Signal to Noise Ratio (28.567) for filtered ECG signals compared to Hamming, Hanning, and Kaiser windows.
Authors
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May enhance ECG denoising in computational research; leaves open clinical diagnostic impact and requires prospective validation.
Absolute Event Rate: 28.567% vs 0.9454%
A proposed windowing technique based on a clonal selection algorithm substantially improves the signal-to-noise ratio of ECG signals compared to standard windowing methods.
Giritharan Ravichandran (2014) studied ECG noise. Proposed window function based on Clonal selection algorithm vs. Hamming, Hanning, and Kaiser windows was evaluated on Signal to Noise Ratio (SNR) of filtered ECG. A proposed window function based on the clonal selection algorithm achieved a significantly higher Signal to Noise Ratio (28.567) for filtered ECG signals compared to Hamming, Hanning, and Kaiser windows.