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<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 Luca,<div class=""><br class=""></div><div class="">this seems to be more of conceptual problem than a fieldtrip-related problem, which is possibly why nobody has answered you so far.</div><div class="">The main problem with your question I see is that you are trying to infer a psychological concept (workload) from your electrophysiological data.</div><div class="">However, this is only possible if you know beforehand how your psychological concept maps to electrophysiology.</div><div class="">In other words, you need some sort of (e.g. behavioral) test to indicate your psychological concept, which you can then relate (e.g. via a correlation) to your EEG data.</div><div class=""><br class=""></div><div class="">I hope this helps,</div><div class=""><br class=""></div><div class="">Julian</div><div class=""><br class=""></div><div class=""><br class=""><div class="">
<div style="color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;">________________<br class="">Prof. Dr. Julian Keil<br class=""><br class="">Biological Psychology<br class="">Olshausenstrasse 62 - R. 306<br class="">24118 Kiel, Germany<br class=""><br class="">+49 - 0431 - 880 - 4872<br class=""><a href="http://www.biopsych.uni-kiel.de/en" class="">http://www.biopsych.uni-kiel.de/en</a><br class=""><br class=""></div>
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<div><br class=""><blockquote type="cite" class=""><div class="">Am 25.06.2019 um 10:36 schrieb Luca L. <<a href="mailto:longo.luca@gmail.com" class="">longo.luca@gmail.com</a>>:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class="">Dear community<br class=""><br class="">I was wondering whether you can help me with the problem described below.<br class=""><br class="">I have 5 head maps (for different EEG bands, horizontally displayed), produced from 32 electrodes (10-20 system). Each picture (sets of 5 horizontal head maps) is the summary of 1 second of EEG recordings (not confined to stimuli and randomly taken on the time line). Each head map uses colors for power ( BLUE -> very low power; RED -> very high power for that band)<br class=""><br class="">I would need:<br class="">1) given 5 head maps (horizontally displayed and representing 1 second of activity via different EEG bands), how can I extract a representative class of mental workload (for that 1 second)<br class="">2) if the above is possible, does it require a human expert who can label via visual inspection or can this labeling be done automatically?<br class="">3) which theories/procedures/methods would you use for enabling this mapping and could you explain how this can be done in details please?<br class=""><br class="">Thanking you in advance for your kind help, I wish you all a nice day.<br class="">Luca<div class=""><span id="cid:ii_jxbk043h0"><500-502.png></span><br class=""></div></div>
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