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. 2020 Apr 16;17:50. doi: 10.1186/s12984-020-00675-5

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — The cleaning process of EEG data from subject 5. a Shows the performance of ASR in removing eye movement artifacts and unnatural high amplitude noise. Moreover, channel Pz was marked as a flat channel and was rejected by the algorithm. b and c shows the power spectrum and scalp distribution of a rejected Independent Component. The IC was rejected due to its low contribution to the scalp data variance and unusual peaks at higher frequencies like 60 and 70 Hz. d shows the EEG signal obtained after ASR operation and artifactual IC rejection