diff --git a/usedMcode/generateTrainingData.m b/usedMcode/generateTrainingData.m
index 5d94a48..3e27a11 100644
--- a/usedMcode/generateTrainingData.m
+++ b/usedMcode/generateTrainingData.m
@@ -3,7 +3,7 @@
     signalWindowEMG=bci_sf*windowEMG;
     signalWindowEEG=bci_sf*windowEEG;
     tempEEG=zeros([32,fix(floor(size(signal,1)/signalWindowEEG-1)*windowEEG/shift+1),maxEEGFreq-minEEGFreq+1]);
-    tempEMG=zeros(fix([size(signal,2)-3-32,fix(size(signal,1)/signalWindowEMG-1)*windowEMG/shift+1]));
+    tempEMG=zeros(fix([6,fix(size(signal,1)/signalWindowEMG-1)*windowEMG/shift+1]));
     
     %Filter around 50Hz and below 2 Hz
     [A,B]= butter(2,[48 52]/(bci_sf/2),'stop');
@@ -16,8 +16,11 @@
     end % TODO: 8-30Hz, pburg bei kurzen Fenstern (Ordnung: Je nach SamplingRate, bei 2500: 32-50, Alpha, Beta peaks sollten sichtbar sein)
     trainingDataEEG=permute(tempEEG,[2 1 3]);
     
-    parfor i=33:size(signal,2)-3
-        tempEMG(i-32,:,:)=waveformLength(filtfilt(double(E),double(F),filtfilt(double(C),double(D),filtfilt(double(A),double(B),double(signal(:,i))))),bci_sf,windowEMG,shift);
+    usedChannels={'AbdPolLo','Biceps','Triceps','FrontDelt','MidDelt','BackDelt'};
+    emgchannels=find(ismember(params.ChannelNames.Value,usedChannels));
+    
+    for i=1:6;
+        tempEMG(i,:)=waveformLength(filtfilt(double(E),double(F),filtfilt(double(C),double(D),filtfilt(double(A),double(B),double(signal(:,emgchannels(i)))))),bci_sf,windowEMG,shift);
     end
     trainingDataEMG=permute(tempEMG,[2 1 3]);