An Improved RLS-based Interference Cancellation

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dc.contributor.authorInban, P.
dc.contributor.authorPunchalard, R.
dc.contributor.authorBenjangkaprasert, C.
dc.date.accessioned2026-08-06T10:35:48Z
dc.date.available2026-08-06T10:35:48Z
dc.date.issued2022-01-01
dc.description.abstractAn improved algorithm for mitigating the effect of power line interference in electrocardiogram (ECG) recording systems is presented. The proposed algorithm includes an interference detector (ID), an interference fundamental frequency estimator (IFFE), and an interference estimator (IE). The ID is used to evaluate the existence of the interference before recording. If it is present, the IFFE and IE are employed in the next steps. In the absence of interference, the observed signal is directly sent to the recorder and monitor. The presence of the ID can improve the performance of the system in terms of computational efficiency and system speed. The IFFE can track the variation of the interference frequency. Extensive computer simulations were run to demonstrate the performance of the proposed system.
dc.identifier.citationProceedings of the 2022 International Electrical Engineering Congress Ieecon 2022, 2022
dc.identifier.doi10.1109/iEECON53204.2022.9741574
dc.identifier.other2-s2.0-85128206840
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12900
dc.sourceProceedings of the 2022 International Electrical Engineering Congress Ieecon 2022
dc.subjectadaptive signal processing
dc.subjectfrequency estimation
dc.subjectneural recording
dc.subjectpower line interference
dc.titleAn Improved RLS-based Interference Cancellation
dc.typeConference Paper

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