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<p class="MsoNormal"><span lang="EN-CA">Hi everyone,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA">I have questions regarding this sentence: “the components were transformed back to the channel-by-time series.” From my understanding, the authors ran ICA on their EEG channels. Thereafter, transformed back to the channel
time-series meant that they used EEG.icaact to analyse their time-series in EEG channel reference. Therefore, the time-series in EEG.icaact are the components in the channel reference, am I right?
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA">As a result, if row 20 in EEG.data represents C3, analysing row 20 in EEG.icaact is analysing C3, am I right?
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA">However, if I remove components because some showed eye blink or other artefact, now EEG.icaact has less row than EEG.data. How can I find C3 after removing components?<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA">In other words, if I remove components, it is possible that C3 is no longer present. Can I transform components back in channel-by-time series without losing some channels after removing components?<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA">Thanks for your help,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA">Martin<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA"><o:p> </o:p></span></p>
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