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<div dir="ltr"><font face="Tahoma" color="#000000" size="2">Dear all,</font></div>
<div dir="ltr"><font face="tahoma"></font> </div>
<div dir="ltr"><font face="tahoma">further to a recent discussion about noise removal using ICA on EEG data filtered with high pass<a></a> filter of 0,1 Hz, I have one question:</font></div>
<div dir="ltr"><font face="tahoma">Is it necessary to filter data so low if one analyses ERP<a></a><a></a> of cue-based motor imagery? In this case there is a one second of non-specific motor preparation between a warning and a cue. This is quite different
to self-paced (asynchronous) movements for which we keep the high pass<a></a> filter low.</font></div>
<div dir="ltr"><font face="tahoma"></font> </div>
<div dir="ltr"><font face="tahoma">To my experience filtering with 01.Hz<a></a><a></a> and 0.5 Hz makes a difference when it comes to ICA based<a></a> noise removal.</font></div>
<div dir="ltr"><font face="tahoma"></font> </div>
<div dir="ltr"><font face="tahoma">Regards,</font></div>
<div dir="ltr"><font face="tahoma">Aleksandra</font></div>
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