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. 2022 Oct 15;260:119390. doi: 10.1016/j.neuroimage.2022.119390

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© 2022 The Authors. Published by Elsevier Inc.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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Fig 4 — EEG signal before and after wavelet thresholding with the following parameters that were optimized for low density data: ‘Wavelet Family,’ ‘coif4;’ ‘Level of Decomposition,’ ‘10;’ ‘Noise Estimate,’ ‘Level Dependent;’ ‘Thresholding Method,’ ‘Bayes;’ ‘Threshold Rule,’ ‘Hard.’ Two files from the same participant in the example dataset are shown with 10 s of data extracted from the clean 30 s segment (A) and artifact-added 30 s segment (B). The EEG signal before processing is shown in the left panel. The EEG signal after wavelet thresholding is shown in the right panel. All scales are in microvolts.