Polynomial filtering of low- and high- frequency noise for improving the accuracy of ECG signal processing: new advancements
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The article describes a solution of the ECG signal processing problem in the presence of low- and high- frequency noises, which reduce the accuracy of selection of the signal informative parameters during their processing. To increase the accuracy of the signal informative parameters selection, developed is a new method for noise filtering based on a polynomial approximation of high frequency filters and wide-band reject filters using Newton polynomials. Applying the developed method of processing, analyzed is its functionality and efficiency with the use of full-scale reference ECG signal samples, and on the basis of quantitative indices, the comparison of the efficiency of the offered method in relation to the known approaches is carried out. To evaluate the noise characteristics by means of the present method some fragments of low- and high- frequency noises are selected from noise-laden ECG signal recording. It has been found that the application of the Newton polynomials to approximations of the transfer characteristics in high frequency filters and wide-band reject filters greatly increases the accuracy of the ECG signal processing analysis and attenuates noises.
Yeldos A. Altay, Artem S. Kremlev. Polynomial filtering of low- and high- frequency noise for improving the accuracy of ECG signal processing: new advancements. Cardiometry; Issue 16; May 2020; р.85-96; DOI: 10.12710/cardiometry.2020.16.8596; Available from: http://www.cardiometry.net/issues/no16-may-2020/accuracy-of-ecg-signal-processing