Power line interference cancellation from ECG using proportionate normalised least mean square sub-band adaptive algorithms
by B. Bhaskara Rao; B. Prabhakara Rao
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 38, No. 3, 2022

Abstract: The electrocardiogram (ECG) record is a procedural electrical endeavour of the coronary heart, which is a non-invasive recording during which noise such as power line interference (PLI) with 60 Hz frequency is obtained from power lines. To efficaciously correct and to keep greater underlying components of an ECG signal, a powerful tool for a removal of PLI from a range of signals was introduced earlier. In this research a multiband structured sub-band adaptive filter (MSAF) is developed to clear up structured problems in conventional sub-band adaptive filters. This paper investigates the detailed adaptive noise canceller (ANC) for ECG signals with robustness based on a multi-level decomposition need to be carried out on the noisy signal and then splitting into low sub-bands and high band sub-bands that are performed with the help of uniform filter banks (UFB) and non-uniform filter banks (NUFB) structured MSAF using proportionate normalised least mean square (PNLMS) and improved proportionate normalised least mean square (IPNLMS) algorithms. Computer simulation demonstrates that the proposed design gives elevated performance and achieves correct adaption.

Online publication date: Thu, 07-Apr-2022

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