<div dir="ltr">Dear Booer,<div><br></div><div>ICA can be severely compromised by 'bad data'. Use very aggressive cleaning & filtering, obtain ICA matrix, and apply it back to the moderately cleaned & filtered data may work.</div><div><br></div><div>Use clean_rawdata() and use ASR threshold 20, which produced the best results out of 19 other methods we compared (unpublished!) Check the EEGLAB plugin manager or download it from <a href="http://sccn.ucsd.edu/wiki/Plugin_list_process">http://sccn.ucsd.edu/wiki/Plugin_list_process</a></div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Sep 22, 2014 at 6:09 AM, bjj2909102003 <span dir="ltr"><<a href="mailto:bjj2909102003@163.com" target="_blank">bjj2909102003@163.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>
<div><span></span>Hello, everyone.</div><div><span style="background-color:rgba(0,0,0,0)"> </span><span style="background-color:rgba(0,0,0,0);font-size:10.5pt;line-height:1.5"> In eeglab, ICA and bandpass are good to improve single trial SNR. Are there some other "good methods"(it shoud better have some toolboxs) to improve SNR? </span></div><div><span style="background-color:rgba(0,0,0,0);font-size:10.5pt;line-height:1.5"><br></span></div><div><span style="background-color:rgba(0,0,0,0);font-size:10.5pt;line-height:1.5">Thank you!</span></div><div><span style="background-color:rgba(0,0,0,0);font-size:10.5pt;line-height:1.5">Booer</span></div>
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<div><span>bjj2909102003</span></div>
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