User Tools

Site Tools


gsr_data_analysis

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
gsr_data_analysis [2010/06/18 21:17] – changing the syntax of prefilter to xff method (obj.Filter) jochengsr_data_analysis [2010/06/18 23:22] (current) – changed onsets to be in ms jochen
Line 89: Line 89:
 <code matlab GSR_acq_stimonsets.m>% all stimuli onsets (use 1 + to cope for the fact that the <code matlab GSR_acq_stimonsets.m>% all stimuli onsets (use 1 + to cope for the fact that the
 % first value in diff rather codes the second sample in the data! % first value in diff rather codes the second sample in the data!
-all_onsets = 1 + find(diff(gsr.RawData(8, :)') > 0);+all_onsets = 1 + find(diff(gsr.ChannelData(8)) > 0);
  
 % now split into three conditions % now split into three conditions
-neu = all_onsets(gsr.RawData(2, all_onsets) > 0); +neu = 0.01 * all_onsets(gsr.ChannelData(2, all_onsets) > 0); 
-neg = all_onsets(gsr.RawData(3, all_onsets) > 0); +neg = 0.01 * all_onsets(gsr.ChannelData(3, all_onsets) > 0); 
-rea = all_onsets(gsr.RawData(4, all_onsets) > 0); +rea = 0.01 * all_onsets(gsr.ChannelData(4, all_onsets) > 0);</code>
- +
-% cope for resampling from 500Hz -> 100Hz !! +
-neu = round(0.2 .* neu); +
-neg = round(0.2 .* neg); +
-rea = round(0.2 .* rea);</code>+
  
 As window length for the inspection of the GSR data, we choose 15 seconds, so in the resolution of the resampled data that means 1,500 samples. As window length for the inspection of the GSR data, we choose 15 seconds, so in the resolution of the resampled data that means 1,500 samples.
Line 141: Line 136:
 reacurves = cell(numel(rea), 2); reacurves = cell(numel(rea), 2);
 for sc = 1:numel(neu) for sc = 1:numel(neu)
-    neucurves{sc, 1} = sprintf('LookNeu %02d at t=%.3fs', sc, 0.01 * neu(sc)); +    neucurves{sc, 1} = sprintf('LookNeu %02d at t=%.3fs', sc, neu(sc)); 
-    neucurves{sc, 2} = [gsrchannel, neu(sc) - 100, neu(sc) + 1400];+    neucurves{sc, 2} = [gsrchannel, neu(sc) - 2, neu(sc) + 14];
 end end
 for sc = 1:numel(neg) for sc = 1:numel(neg)
-    negcurves{sc, 1} = sprintf('LookNeg %02d at t=%.3fs', sc, 0.01 * neg(sc)); +    negcurves{sc, 1} = sprintf('LookNeg %02d at t=%.3fs', sc, neg(sc)); 
-    negcurves{sc, 2} = [gsrchannel, neg(sc) - 100, neg(sc) + 1400];+    negcurves{sc, 2} = [gsrchannel, neg(sc) - 2, neg(sc) + 14];
 end end
 for sc = 1:numel(rea) for sc = 1:numel(rea)
-    reacurves{sc, 1} = sprintf('ReaNeg %02d at t=%.3fs', sc, 0.01 * rea(sc)); +    reacurves{sc, 1} = sprintf('ReaNeg %02d at t=%.3fs', sc, rea(sc)); 
-    reacurves{sc, 2} = [gsrchannel, rea(sc) - 100, rea(sc) + 1400];+    reacurves{sc, 2} = [gsrchannel, rea(sc) - 2, rea(sc) + 14];
 end end
  
gsr_data_analysis.1276895866.txt.gz · Last modified: 2010/06/18 21:17 by jochen