<p dir="ltr">Actually, that is not correct. </p>
<p dir="ltr">Cleanline uses multitaper regression, with Thompson's F-statistic for determining the probability of sinusoidal artifact at a given frequency. There is no "Welch FFT" nor any need to high pass filter the data (this would have no effect on Welch's method either). </p>
<p dir="ltr">Please see the documentation and references I have provided for Cleanline, in the toolbox Readme file on NITRC, paying attention to the "Tips on Running Cleanline" section:<br>
<a href="https://www.nitrc.org/projects/cleanline/">https://www.nitrc.org/projects/cleanline/</a></p>
<p dir="ltr">Eric, you may try running Cleanline iteratively on the data, gradually increasing the significance threshold (LineAlpha). You may also try different window sizes, as suggested in the tips. Other tips there may also apply. If you have multiple epochs, ensure your window size and step size equal (or divide) the epoch length. </p>
<p dir="ltr">You may also consult our PREP paper/toolbox, which wraps around Cleanline and local detrending tools I have previously discussed on this list, as well as other artifact rejection tools developed by Christian Kothe.</p>
<p dir="ltr">Best,<br>
Tim Mullen</p>
<div class="gmail_quote">On Apr 5, 2016 2:09 PM, "Makoto Miyakoshi" <<a href="mailto:mmiyakoshi@ucsd.edu">mmiyakoshi@ucsd.edu</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Eric,<div><br></div><div>First of all, did you apply it on the high-pass filtered data? CleanLine uses EEGLAB's Welch's method for FFT (if I remember correctly) to evaluate the spectrum, so the data needs to be high-pass filtered. See Nima Bigdely-Shamlo's PREP pipeline paper for detail.</div><div><br></div><div>Did you average reference the data? It may help, especially if your data are not re-referenced at all (like Biosemi's data).</div><div><br></div><div>Another thing is that you can expect a small improvement by doing this</div><div><br></div><div> 'SlidingWinLength',4,'SlidingWinStep',4<br></div><div><br></div><div>If these does not work, I recommend you band-pass filter your data 45-55Hz to see stationarity of your 'line noise'-- is it really it??</div><div><br></div><div>Makoto</div><div><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Mar 4, 2016 at 2:14 AM, Eric HG <span dir="ltr"><<a href="mailto:erichg2013@gmail.com" target="_blank">erichg2013@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr">Hi everybody,<div><br></div><div>I've been trying to apply Cleanline instead of a notch filter but there seems to be a problem with some of the subjects. Cleanline doesn't seem to remove all the line noise (at 50 Hz) (see picture). Before I use cleanline I use the function pop_firwsord to high- and low-pass the EEG. </div><div><br></div><div>I use cleanline with the following settings: </div><div><br></div><div>
<p>[EEG, Sorig, Sclean, f, amps, freqs, g] = pop_cleanline(EEG, <span>'Bandwidth'</span>,2,<span>'ChanCompIndices'</span>,[1:EEG.nbchan], <span>...</span></p>
<p> <span>'SignalType'</span>,<span>'Channels'</span>,<span>'ComputeSpectralPower'</span>,true, <span>...</span></p>
<p> <span>'LineFrequencies'</span>,[50] ,<span>'NormalizeSpectrum'</span>,false, <span>...</span></p>
<p> <span>'LineAlpha'</span>,0.01,<span>'PaddingFactor'</span>,2,<span>'PlotFigures'</span>,false, <span>...</span></p>
<p><span> </span>'ScanForLines'<span>,true,</span>'SmoothingFactor'<span>,100,</span>'VerboseOutput'<span>,1, </span><span>...</span></p>
<p><span> </span>'SlidingWinLength'<span>,4,</span>'SlidingWinStep'<span>,2);</span></p></div><div>Does anyone know what might need to be changed to fix this?</div><div><br></div><div>Best,</div><div><br></div><div>Eric</div><div><br></div><div><br></div><div><img src="cid:ii_153411d006c04fd4" alt="Inline image 1" width="454" height="204"><br></div></div>
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