diff --git a/usedMcode/readEEG.m b/usedMcode/readEEG.m
index 148c4c3..7a7eace 100644
--- a/usedMcode/readEEG.m
+++ b/usedMcode/readEEG.m
@@ -10,7 +10,7 @@
     for i=1:maxFile
         [sig, stat, params] = load_bcidat(strcat(pathToFile,sprintf('%s/%s_B100%i/%s_B1S00%iR0%i.dat',subject,subject,number,subject,number,i)));
         tmpKin=csvread(strcat(pathToFile,sprintf('kin/%s_B1S00%iR0%i.txt',subject,number,i)),1,0);
-        [trainingDataEEGcell{i},trainingDataEMGcell{i},kin{i}]=generateTrainingData(sig,tmpKin(1:4),windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq);
+        [trainingDataEEGcell{i},trainingDataEMGcell{i},kin{i}]=generateTrainingData(sig,tmpKin(:,1:4),windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq);
         classesCell{i}=stat.StimulusCode;
         %fprintf('%ith file processed\n',i)
     end
@@ -21,7 +21,7 @@
     trainingDataEMG=cell2mat(trainingDataEMGcell);
     classesMat=cell2mat(classesCell);
     kinMat=cell2mat(kin);
-    clear trainingDataEEGcell trainingDataEMGcell classesCell kin
+    %clear trainingDataEEGcell trainingDataEMGcell classesCell kin
 
     classificationWithPause=classifyAccordingToEMG(trainingDataEEG, trainingDataEMG,classesMat,shift,params.SamplingRate.NumericValue,threshold);
     clear classesMat