<div dir="ltr"><div dir="ltr">Dear Mohith,<div><br></div><div>Instead of </div><div><br></div> p = pwelch(EEG.data(4,:),[],[],[],Fs,'onesided');</div><div dir="ltr"><br></div><div dir="ltr">Use<br><br> p(j,:) = pwelch(EEG.data(4,:),[],[],[],Fs,'onesided');</div><div dir="ltr"><br></div><div>If the length of the output changes,</div><div><br></div><div><div dir="ltr"> p{j} = pwelch(EEG.data(4,:),[],[],[],Fs,'onesided');</div><div dir="ltr"><br></div><div>Makoto</div><br class="gmail-Apple-interchange-newline"></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Jan 21, 2019 at 9:04 AM VARMA, MOHITH MUKUND <<a href="mailto:mohith96@connect.hku.hk">mohith96@connect.hku.hk</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div style="font-family:"times new roman",serif">Dear all,</div><div style="font-family:"times new roman",serif"><br></div><div style="font-family:"times new roman",serif">I am trying to derive the absolute power indices and its derivatives (e.g. mean and SD and graphs that show the power spectra) from each participants' epoched datasets. I have epoched the continuous EEG based on the participants sleep stage and I run multiple for loops to process my data. However, in the current code, MATLAB summates the value from each participant and across each of the epoched datasets. Instead I would like to obtain separate indices for each epoched dataset within each participant so that later I can run some within subject analysis on this data. Following is the code that I have compiled so far:</div><div><div><font face="times new roman, serif">%Step Five: This will load in sleep stage and run spectral analysis for each sleep stage within</font></div><div><font face="times new roman, serif">%each participant.</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">clear;</font></div><div><font face="times new roman, serif">eeglab</font></div><div><font face="times new roman, serif">subject_list = {'304'};</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">Fs = 250;</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">stage_list = {'N1','N2','N3','REM'};</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">numsubjects = length(subject_list); % number of subjects</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">numstage = length(stage_list); % number of sleep stages</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">parentfolder = 'C:/Users/user/Documents/psg_data/'; </font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">for s=1:numsubjects</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif"> subject = subject_list{s};</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif"> fprintf('\n\n\n*** Processing subject %d (%s) ***\n\n\n', s, subject);</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> for j=1:numstage</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> stages = stage_list{j};</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> EEG = pop_loadset([subject '_' stages '.set']);</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> p = pwelch(EEG.data(4,:),[],[],[],Fs,'onesided');</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> [ALLEEG EEG CURRENTSET] = eeg_store( ALLEEG, EEG, 0 );</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> EEG.setname = [subject '_' stages];</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> EEG = eeg_checkset( EEG );</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif"> end;</font></div><div><font face="times new roman, serif"> </font></div><div><font face="times new roman, serif">end;</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">eeglab redraw</font></div></div><div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">Your help in debugging this problem is very much appreciated. Thanks in advance.</font></div><div><font face="times new roman, serif"><br></font></div><div><font face="times new roman, serif">Regards,</font></div></div><div><br></div>-- <br><div dir="ltr" class="gmail-m_-7832007961712007133gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><font size="2" face="times new roman, serif">Mohith M. Varma (Mo)</font></div><div><span style="font-family:"times new roman",serif;font-size:small">Graduate Research Assistant</span><br></div><div><font size="2" face="times new roman, serif"><br></font></div><div><font size="2" face="times new roman, serif">Social & Cognitive Neuroscience Laboratory</font></div><div><span style="font-family:"times new roman",serif;font-size:small">Department of Psychology</span></div><div><font size="2" face="times new roman, serif">Faculty of Social Sciences</font></div><div><font size="2" face="times new roman, serif">The University of Hong Kong</font></div><div><font size="2" face="times new roman, serif">Tel: (+852) 52622875</font></div><div><font size="2" face="times new roman, serif">Email: <a href="mailto:mohith96@connect.hku.hk" target="_blank">mohith96@connect.hku.hk<br></a></font></div><div style="font-size:small"></div></div></div></div></div></div></div></div></div></div>
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