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Fig. 7. Proportion of bad epochs in 54 overnight <t>sleep</t> <t>hd-EEG</t> recordings. <t>The</t> <t>artifact</t> removal routine was applied in 54 overnight sleep hd-EEG recordings (128 channels). (A) The proportion of classified bad epochs depends on the number of channels required to be artifact-free. A subset of 124 channels included for the classification of bad epochs leads to more classified bad epochs than a subset of 111 channels. Once bad channels are excluded, both subsets result in approximately the same proportion of bad epochs. The additional exclusion of poor channels further decreases the proportion of bad epochs in both subsets of channels. (B) Most bad epochs only contain 1–2 bad channels. Bad epochs were classified with bad and poor channels included in both subsets of channels. Boxplots: The horizontal line indicates the median, the 𝑥the mean, the whiskers the scores within 1.5 times the interquartile range, and the box the middle 50% of scores.
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Fig. 7. Proportion of bad epochs in 54 overnight sleep hd-EEG recordings. The artifact removal routine was applied in 54 overnight sleep hd-EEG recordings (128 channels). (A) The proportion of classified bad epochs depends on the number of channels required to be artifact-free. A subset of 124 channels included for the classification of bad epochs leads to more classified bad epochs than a subset of 111 channels. Once bad channels are excluded, both subsets result in approximately the same proportion of bad epochs. The additional exclusion of poor channels further decreases the proportion of bad epochs in both subsets of channels. (B) Most bad epochs only contain 1–2 bad channels. Bad epochs were classified with bad and poor channels included in both subsets of channels. Boxplots: The horizontal line indicates the median, the 𝑥the mean, the whiskers the scores within 1.5 times the interquartile range, and the box the middle 50% of scores.

Journal: Journal of neuroscience methods

Article Title: 'High-Density-SleepCleaner': An open-source, semi-automatic artifact removal routine tailored to high-density sleep EEG.

doi: 10.1016/j.jneumeth.2023.109849

Figure Lengend Snippet: Fig. 7. Proportion of bad epochs in 54 overnight sleep hd-EEG recordings. The artifact removal routine was applied in 54 overnight sleep hd-EEG recordings (128 channels). (A) The proportion of classified bad epochs depends on the number of channels required to be artifact-free. A subset of 124 channels included for the classification of bad epochs leads to more classified bad epochs than a subset of 111 channels. Once bad channels are excluded, both subsets result in approximately the same proportion of bad epochs. The additional exclusion of poor channels further decreases the proportion of bad epochs in both subsets of channels. (B) Most bad epochs only contain 1–2 bad channels. Bad epochs were classified with bad and poor channels included in both subsets of channels. Boxplots: The horizontal line indicates the median, the 𝑥the mean, the whiskers the scores within 1.5 times the interquartile range, and the box the middle 50% of scores.

Article Snippet: The artifact removal routine (v1.0.0) was applied in 54 overnight sleep hd-EEG recordings (EGI Net Station v5.4; Electrical Geodesics Sensor Net for long-term monitoring, 128 channels, Net Amps 400 series, Electrical Geodesics Inc., EGI, Eugene, OR, USA).

Techniques: