<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Dear Aitor,<div class=""><br class=""></div><div class="">irrespective of whether that is a good idea, I can suggest the EEGLab Toolbox SASICA (<a href="https://github.com/dnacombo/SASICA/" class="">https://github.com/dnacombo/SASICA/</a>).</div><div class="">This toolbox can identify ICs based on a number of criteria and automatically reject these.</div><div class="">So, if you manage to transform your FT-data into an EEGLab-like structure, this might work for you.</div><div class=""><br class=""></div><div class="">Best,</div><div class=""><br class=""></div><div class="">Julian</div><div class=""><br class=""><div><br class=""><blockquote type="cite" class=""><div class="">Am 28.11.2018 um 11:49 schrieb Aitor Egurtzegi <<a href="mailto:aitor.martinezegurcegui@uzh.ch" class="">aitor.martinezegurcegui@uzh.ch</a>>:</div><br class="Apple-interchange-newline"><div class=""><div class="">Dear researchers at Fieldtrip,<br class=""><br class=""><br class="">In order to make my work more reproducible, I would like to automatically reject ICs instead of doing visual inspection and rejection of the components. Unfortunately, I haven't found any documentation for such thing. Is there a way to do it in Fieldtrip?<br class=""><br class="">Best,<br class="">Aitor<br class=""><br class="">_______________________________________________<br class="">fieldtrip mailing list<br class=""><a href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip" class="">https://mailman.science.ru.nl/mailman/listinfo/fieldtrip</a><br class="">https://doi.org/10.1371/journal.pcbi.1002202<br class=""></div></div></blockquote></div><br class=""></div></body></html>