<div dir="ltr"><div>Dear David, <br>You said "use ICA with so few channels for artifact rejection ", <br></div>Is that possible even with two EEG and two EOG channels? Because just these channels are available in my dataset and I whould like to know can I apply ICA for OA removal on this dataset?<br><div><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Oct 16, 2014 at 3:55 PM, Becky Prince <span dir="ltr"><<a href="mailto:becky.prince@york.ac.uk" target="_blank">becky.prince@york.ac.uk</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<br><div dir="ltr">Thanks very much for the response, David!</div><div class="gmail_extra"><br clear="all"><div><div dir="ltr"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">______________________________</span><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">______________</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">Becky Gilbert (nee Prince)</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">PhD Researcher</span><div><br></div><div><a href="http://www.york.ac.uk/psychology/staff/postgrads/becky.gilbert/" target="_blank">http://www.york.ac.uk/psychology/staff/postgrads/becky.gilbert/</a><br></div><div>Lab C120<br><div><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">Department of Psychology</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">University of York</span><div><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">Heslington, York, YO10 5DD, UK</span><br></div></div></div></div></div>
<br><div class="gmail_quote">On 16 October 2014 19:10, David Groppe <span dir="ltr"><<a href="mailto:david.m.groppe@gmail.com" target="_blank">david.m.groppe@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><br><div>You can still use ICA with so few channels for artifact rejection, Becky. </div><div>It should successfully extract large artifacts like blinks and eye movement.</div><div> cheers,</div><div> -D</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Thu, Oct 16, 2014 at 10:49 AM, Becky Prince <span dir="ltr"><<a href="mailto:becky.prince@york.ac.uk" target="_blank">becky.prince@york.ac.uk</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr">Dear List,<div><br></div><div>I'm working on a frequency analysis of resting EEG with relatively few channels (6 scalp, 2 mastoids, 2 EOGs), and I'd like to be able to extract reliable estimates of low frequency power. In previous analyses I have used ICA to remove artifacts, but this was with 64-channel data. Has anyone used ICA for artifact removal with a low-density channel array, or could anyone recommend resources on pipelines for this type of data and analysis?</div><div><br></div><div>If ICA can't be used with this data, then I suppose the alternative is to remove segments containing artifacts, and then only analyse the remaining segments that are long enough to extract an estimate of the lowest frequency (e.g. ~1.5 seconds for a minimum frequency of 2 Hz). Is this correct, or is there a better approach?</div><div><br></div><div>Sorry that this is not strictly an EEGLAB question. I am doing the analysis in EEGLAB so any EEGLAB-specific tips would be appreciated!</div><div><br></div><div>Thanks,</div><div>Becky<br clear="all"><div><div dir="ltr"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">______________________________</span><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">______________</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">Becky Gilbert (nee Prince)</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">PhD Researcher</span><div><br></div><div><a href="http://www.york.ac.uk/psychology/staff/postgrads/becky.gilbert/" target="_blank">http://www.york.ac.uk/psychology/staff/postgrads/becky.gilbert/</a><br></div><div>Lab C120<br><div><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">Department of Psychology</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">University of York</span><div><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,255)">Heslington, York, YO10 5DD, UK</span><br></div></div></div></div></div>
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<br></blockquote></div><br><br clear="all"><br>-- <br><div dir="ltr"><div><font color="#0000ff"><b><span style="font-family:arial,helvetica,sans-serif;font-size:14px">With very kind regards</span>,</b></font><br><br><b><span style="color:rgb(0,0,255)">Samaneh .Valipour</span></b><br><br><font style="color:rgb(0,0,255)">PhD research student: DOES_UOP_INDIA <br>--------------------------------------------------------------------<br></font>*Post address: *University of Pune, <br> Pune Ganeshkhind, <br> Pune-411007 ,<br> Maharashtra, (India) *<br>Phone nos :*<span>+91-20-25699841</span><span dir="ltr"><span dir="ltr"><span><img><span>+91-20-25699841</span><span></span></span></span></span>,<span>+91-20-25691256</span><span dir="ltr"><span dir="ltr"><span><img><span>+91-20-25691256</span><span></span></span></span></span>,<span>+91-20-25601419</span><span dir="ltr"><span dir="ltr"><span><img><span>+91-20-25601419</span><span></span></span></span></span><br></div><br><div><div><a>Call</a></div><div><a>Send SMS</a></div><div><a>Add to Skype</a></div><div><span>You'll need Skype Credit</span><span>Free via Skype</span></div></div></div>
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