MaxfilterMatlabScript102013-03-08 10:02:31localhostconverted to 1.6 markup92013-02-04 14:48:22OlafHauk82011-04-28 15:47:02YaaraErez72011-03-23 16:58:59YaaraErez62011-02-24 12:48:14YaaraErez52011-02-24 12:40:40YaaraErez42010-12-09 12:08:09YaaraErez32010-12-09 12:06:31YaaraErez22010-07-06 17:10:57YaaraErez12010-07-06 17:03:43YaaraErezmrclogo.gif Maxfilter Script in MatlabThis script will do the following for you: Detect bad MEG channels from the pre-HPI period in your data (assuming HPI measurement was switched on after 20s) Apply SSS including ST and movement compensation, downsampling by a factor 3 (to 3 ms, if sampling frequency is 1000 Hz), assuming head origin [0 0 45] for all data sets Interpolate each data set to the first one specified in the list, for each subject separately ("trans") The script automatically detects bad channels from the pre-HPI period, but also allows you to specify further bad MEG channels at the top. At the end, you will have files ending in "sss" (before trans) and "ssst" (after trans), which you can use for the interesting part of your analysis... ' [badfname]
];
fprintf(1, 'Looking for bad channels\n');
fprintf(1, '\n%s\n', badcmd);
eval([' ! ' badcmd]);
]]>0); % Omit zeros (padded by dlmread):
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badstxt = sprintf('%s%s%s',num2str(bads))
if sum(badstxt)>0
dlmwrite([markbadfname],badstxt,'delimiter',' ');
else
eval(['! touch ' [markbadfname] ])
end
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badcmd=[' -bad ', badstxt];
else
badcmd='';
end
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trcmd=sprintf(' -trans %s -frame head -origin 0 0 45',b1file);
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