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.
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.
represents electrical activity of human heart. ECG is composite from 5 waves -P, Q, R, S and T. This signal could be measured by electrodes from human body in typical engagement. Signals from these electrodes are brought to simple electrical circuits with amplifiers and analoguedigital converters. Abnormal patterns of ECG may be due to interference from power line which is easily recognizable since interfering voltage in the ECG would have frequency of 60 Hz. This interference due to stray effect of alternating current on the patient or because of alternating current fields produce in the patient cable, and white noise generated by ECG equipment and these artifacts which must be removed otherwise it will convey an incorrect information regarding the patient's heart condition. The work in this paper is the design of FIR digital filters with new Window to remove the interferences or the artifacts and calculated SNR of noiseless ECG and compared with existing windows. Three filters are considered: Low pass, high pass and band reject filters. Each filter is used to filter the raw noisy ECG signal and results are observed and tabulated. In this paper we apply a new windowing technique to improve the SNR of ECG, so as to view the ECG noise-free.
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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.
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