
<p class="MsoNormal" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:

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normal;tab-stops:45.8pt 91.6pt 137.4pt 183.2pt 229.0pt 274.8pt 320.6pt 366.4pt 412.2pt 458.0pt 503.8pt 549.6pt 595.4pt 641.2pt 687.0pt 732.8pt"><font class="Apple-style-span" face="'Courier New'"><span lang="EN-US" style="font-size:10.0pt;font-family:"Times New Roman","serif";

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mso-ansi-language:EN-US">Hi everyone,</span></font></p><font class="Apple-style-span" face="'Courier New'">


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normal;tab-stops:45.8pt 91.6pt 137.4pt 183.2pt 229.0pt 274.8pt 320.6pt 366.4pt 412.2pt 458.0pt 503.8pt 549.6pt 595.4pt 641.2pt 687.0pt 732.8pt"><span lang="EN-US" style="font-size:10.0pt;font-family:"Times New Roman","serif";

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mso-ansi-language:EN-US"> </span></p>


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normal;tab-stops:45.8pt 91.6pt 137.4pt 183.2pt 229.0pt 274.8pt 320.6pt 366.4pt 412.2pt 458.0pt 503.8pt 549.6pt 595.4pt 641.2pt 687.0pt 732.8pt"><span lang="EN-US" style="font-size:10.0pt;font-family:"Times New Roman","serif";

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mso-ansi-language:EN-US">I'm a new EEGLab user and I have a (probably trivial) question about ICA

decomposition. I have a dataset with a sampling frequency of 2048 Hz. Then, for my

analysis I filtered EEG data considering only the [0.1 60] Hz band. I read that

it is better to use in the ICA decomposition as many points as possible but conidering the filters that I used and the sampling theorem a 120 Hz sampling frequency should be enough. After filtering, should I

keep the original sampling frequency to improve the component detection or is it

possible a sub-sampling?</span></p>


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mso-ansi-language:EN-US"> </span></p>


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normal;tab-stops:45.8pt 91.6pt 137.4pt 183.2pt 229.0pt 274.8pt 320.6pt 366.4pt 412.2pt 458.0pt 503.8pt 549.6pt 595.4pt 641.2pt 687.0pt 732.8pt"><span lang="EN-US" style="font-size:10.0pt;font-family:"Times New Roman","serif";

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mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi;color:black;

mso-ansi-language:EN-US">Thanks so much</span></p>


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<pre><span style="font-family:"Times New Roman","serif";mso-ascii-theme-font:

major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi">Greetings.</span></pre><pre><span style="font-family:"Times New Roman","serif";mso-ascii-theme-font:major-bidi;

mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi">Marco</span></pre><p></p></font><p></p>-- <br><pre>Marco Bellami</pre><pre>PhD Student </pre><pre>Università la Sapienza</pre><pre>Roma, Italy</pre><br>