This study will focus on a global artifact removal method using independent component analysis (ICA) on signals cut in frequency bands. The interest of this ...
This study will focus on a global artifact removal method using Independent component Analysis (ICA) on signals cut in frequency bands. The interest of this ...
This study will focus on a global artifact removal method using independent component analysis (ICA) on signals cut in frequency bands. The interest of this ...
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In this paper, a novel technique (Automatic Wavelet Independent Component Analysis, AWICA) for automatic EEG artifact removal is presented. Through AWICA we ...
Feb 26, 2019 · Automatic process means the chosen method can automatically identify and eliminate the artifact components without manual intervention.
Missing: global | Show results with:global
Jan 12, 2021 · These results confirm the ability of the optimized fingerprint method and the ARCI approach to effectively remove physiological artifacts from EEG recordings ...
This paper attempts to give an extensive outline of the advancement in methodologies to eliminate one of the most common artifacts, ie, ocular artifact.
Oct 16, 2024 · In this work, a novel deep learning method,“AnEEG” is presented for eliminating artifacts from EEG signal. The quantitative matrices NMSE, RMSE, ...
Automatic detection and classification of EEG artifacts using fuzzy kernel ...
dl.acm.org › doi › abs
[9]. Gallois P, Vasseur C, Boudet S, Peyrodie L (2006) A global approach for automatic artifact removal for standard EEG record. In: Proceedings of IEEE ...
In this paper, we propose an algorithm based on wavelet packet decomposition (WPD) that allows controlling the suppression or removal of presumed artifacts.