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Assessment of adaptive algorithms effectiveness for suppression of powerline harmonics in EEG signals
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Paper Abstract

This paper presents the evaluation of adaptive filtering methods for suppression of the second powerline harmonic in electroencephalography (EEG) signals. The powerline interference with its harmonics is the most frequent noise source distorting EEG signals. Mostly its power is too high, to be simply removed by a low-pass filter, especially during the analysis of upper gamma frequencies (up to 100 Hz), where some information about EEG signal could be lost. This paper focuses on comparison of the adaptive algorithms (Least Mean Squares (LMS), and Recursive Least Squares (RLS)) in the suppression of harmonic interferences. This evaluation is based on the dedicated measures, allowing to assess the distortions remaining after the powerline suppression. The results of studies confirm the usability of the adaptive filters in powerline and its harmonics suppression.

Paper Details

Date Published: 6 November 2019
PDF: 11 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762U (6 November 2019); doi: 10.1117/12.2536956
Show Author Affiliations
Renata Plucińska, Warsaw Univ. of Technology (Poland)
Konrad Jędrzejewski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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