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. 2018 Dec 14;8:17885. doi: 10.1038/s41598-018-36327-x

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Representative trace of multiple spindle events during 30 seconds of NREM sleep. The top 2 panels show the typical ‘raw’ EEG signal (elevated grey) and the wavelet filtered (10–16 Hz) signal (black) of a selected frontal-central channel (E11), and posterior-central channel (E62) where spindles are most typically found. Detected spindles are indicated with a black bar in the timeline. Keep in mind that the detected spindle may not have been found in either E11, or E62 (e.g. 8^th and 12^th example spindle. The third panel shows the topography of the mean spectral power over all detected spindles. Locations tend to be either frontal or posterior, with fewer occurring at both locations simultaneously. The bottom panel shows some of the individual parameters that can be assessed from the results of this automatic detection.