<p dir="ltr">Hi Nithin,</p>
<p dir="ltr">if you are using (pop_)newtimef to obtain time-freq decomposition you can try the following:</p>
<p dir="ltr">After performing GUI-based operation resulting in time-freq plot type:<br>
>> eegh<br>
(without the '>>' of course :) )</p>
<p dir="ltr">Then locate the call to pop_newtimef or similar.<br>
Then check output variables provided by this function (in this case I assume pop_newtimef):<br>
>> help pop_newtimef</p>
<p dir="ltr">There (in the help description) you can find what is returned by the function (and the required input). In the case of pop_newtimef it will tell you to see the help file of newtimef() and there you can find that the output is:<br>
[ersp,itc,powbase,times,freqs,erspboot,itcboot]</p>
<p dir="ltr">The first two ('ersp' and 'itc') are ersp and itc matrices. Their time/freq dimensions are given by 'times' and 'freqs' vectors.<br>
Now you can copy your pop_newtimef call from eegh and add in front of it:<br>
[ersp,itc,powbase,times,freqs] = </p>
<p dir="ltr">After evaluating this command you will find all the requested variables in your workspace.</p>
<div class="gmail_quote">17 mar 2014 18:43 "Nithin Krishna" <<a href="mailto:krisnithin@gmail.com">krisnithin@gmail.com</a>> napisał(a):<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="auto"><div>Dear EEG experts, </div><div>On the same lines of question, I wish to know if I could obtain time- frequency data, ITC and cross coherence. How to save data from the plot that I get, specifically ESRP, ITC and cross coherence after running time frequency analysis. </div>
<div>Any help in this regard will be deeply appreciated, thanks<br><br>Nithin Krishna</div><div><br>On Mar 13, 2014, at 7:05 PM, Marta Zakrzewska <<a href="mailto:marta.zakr@gmail.com" target="_blank">marta.zakr@gmail.com</a>> wrote:<br>
<br></div><blockquote type="cite"><div><div dir="ltr">If you want to plot the timecourse of your components' signal you can use eegplot<div>>> eegplot(EEG.icaact, 'srate', EEG.srate) </div><div><br></div>
<div>Note that you need to compute the icaact matrix first though - you can do it using eeg_getdataact function:<div>
<div>>> EEG.icaact = eeg_getdatact(EEG,'component', 1:size(EEG.icaweights, 1));<br></div><div><br></div>
<div>Hope it helps!</div></div></div><div><br></div><div>Marta Zakrzewska</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014-03-13 14:13 GMT+01:00 joaquin .cuomo <span dir="ltr"><<a href="mailto:jmcuomo@gmail.com" target="_blank">jmcuomo@gmail.com</a>></span>:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div><div>Hi, <br><br></div>after doing ICA, how can I plot the decompose signals?<br><br></div>
<div>EEG = .....<br></div>icaact: []<br>icawinv: [7x7 double]<br>icasphere: [7x7 double]<br>icaweights: [7x7 double]<br>
icachansind: [1x7 double]<br>.....<br></div>(7 is the number of electrodes of my EEG system)<br><br></div>Thanks!<br></div>
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