<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Gupta,<div><br></div><div>since 298458 cannot be divided by 140 you likely do not have the correct number of trials. Once you have the data in Matlab you can first transpose it (so electrodes are in the first dimension) then reshape it</div><div><br></div><div>data = reshape(data', [118 nsamples_per_trial ntrials ]);</div><div><br></div><div>Then you can import that array in EEGLAB if you wish to.</div><div>Best,</div><div><br></div><div>Arno</div><div><br><div><div>On Jan 1, 2014, at 10:16 AM, AKSHANSH GUPTA <<a href="mailto:akshanshgupta83@gmail.com">akshanshgupta83@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"><div dir="ltr"><div>Dear Sir/ Mam<br></div>I want to use BCI Competition
III dataset IVa for academic purpose in binary classification problem of
mental task. But there are 298458 numbers of rows and 118 numbers of
columns in per subject data, if i am right then columns represent
numbers of electrodes and there are three tasks & 140 trails per
task. But in this way how can I identify what numbers of rows represent
which task and trail? <br>
<span style="font-family:arial narrow,sans-serif"></span> I request you please help me in regard, I'll highly obliged you for ever <div class=""><div id=":3l4" class="" tabindex="0"><img class="" src="https://mail.google.com/mail/u/0/images/cleardot.gif"></div>
</div> <div class="gmail_extra"><div dir="ltr"><div><i><font color="#3333FF"><span style="background-color:rgb(255,255,255)">Thanks & Regards...<br>Akshansh Gupta</span></font></i></div><div><i><font color="#3333FF"><span style="background-color:rgb(255,255,255)">(Pursuing Ph.d , J.N.U,New Delhi-67)<br>
Contact no: +91 9013927309, +91 11-26741787,9899435903</span></font></i></div><div><br></div></div>
</div></div>
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