diff --git a/usedMcode/noOfSynergies.m b/usedMcode/noOfSynergies.m
index ddbdd57..790f754 100644
--- a/usedMcode/noOfSynergies.m
+++ b/usedMcode/noOfSynergies.m
@@ -1,12 +1,15 @@
 % addpath('/home/hohlochj/masterarbeit/usedMcode')
 % pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/';
 pathToFile='/home/jph/Uni/masterarbeit/origData/';
+showFigure=true;
+oneSubject=true;
+
+EMGChannels={'AbdPolLo','Biceps','Triceps','FrontDelt','MidDelt','BackDelt'};
 maxFile=5;
 windowEMG=0.2;
 windowShift=0.05;
 
 maxSize=6;
-oneSubject=true;
 
 
 [subjects,numbers]=namesAndNumbers(pathToFile);
@@ -23,14 +26,15 @@
 
 if oneSubject
     numbersMat=numbersMat(1);
+    number=numbersMat(1);
+    subject=subjectsForNumbers{1};
 end
 
 EMG=cell(size(numbersMat,2),1);
 
 parfor j=1:size(numbersMat,2)
-    number=numbersMat(j);
-    subject=subjectsForNumbers{j};
-    EMG{j}=readEMGSig(pathToFile,subject,number,maxFile,windowEMG,windowShift);
+    EMG{j}=readEMGSig(pathToFile,subjectsForNumbers{j},numbersMat(j),...
+        maxFile,windowEMG,windowShift,EMGChannels);
 end
 
 trainingData=cell2mat(EMG);
@@ -43,13 +47,6 @@
     r2Autoenc(i,:)=correlation2(trainingData,predicted');
 end
 
-fig=figure();
-subplot(1,3,1);
-plot(r2Autoenc)
-title('Autoencoder')
-xlabel('number of syergies')
-ylabel('R^2')
-
 %PCA
 [COEFF,SCORE,latent] = pca(trainingData,'Centered',false);
 r2PCA=zeros([maxSize,size(trainingData,2)]);
@@ -57,11 +54,6 @@
     predicted=SCORE(:,1:i)*COEFF(:,1:i)';
     r2PCA(i,:)=correlation2(trainingData,predicted);   
 end
-subplot(1,3,2);
-plot(r2PCA)
-title('PCA')
-xlabel('number of syergies')
-ylabel('R^2')
 
 %NNMF
 r2NNMF=zeros([maxSize,size(trainingData,2)]);
@@ -71,8 +63,29 @@
     r2NNMF(i,:)=correlation2(trainingData,predicted);
 end
 
-subplot(1,3,3);
-plot(r2NNMF)
-title('NNMF')
-xlabel('number of syergies')
-ylabel('R^2')
+if showFigure
+    fig=figure();
+    subplot(1,3,1);
+    plot(r2Autoenc)
+    title('Autoencoder')
+    xlabel('number of syergies')
+    ylabel('R^2')
+
+    subplot(1,3,2);
+    plot(r2PCA)
+    title('PCA')
+    xlabel('number of syergies')
+    ylabel('R^2')
+
+    subplot(1,3,3);
+    plot(r2NNMF)
+    title('NNMF')
+    xlabel('number of syergies')
+    ylabel('R^2')
+else
+    if oneSubject
+        save(strcat(pathToFile,sprintf('../matlabData/%s_noSyn%s%i.mat',datestr(datetime('now')),subject,number)));
+    else
+        save(strcat(pathToFile,sprintf('../matlabData/%s_noSynAll.mat',datestr(datetime('now')))));
+    end
+end
\ No newline at end of file
diff --git a/usedMcode/readEMGSig.m b/usedMcode/readEMGSig.m
index 64374fc..8998eb7 100644
--- a/usedMcode/readEMGSig.m
+++ b/usedMcode/readEMGSig.m
@@ -1,11 +1,11 @@
-function [EMG]=readEMGSig(pathToFile,subject,number,maxFile,windowEMG,windowShift)
+function [EMG]=readEMGSig(pathToFile,subject,number,maxFile,windowEMG,windowShift,EMGChannels)
     EMGcell=cell(maxFile,1);
-    usedChannels={'AbdPolLo','Biceps','Triceps','FrontDelt','MidDelt','BackDelt'};
     
     for i=1:maxFile
-        [sig, ~, params] = load_bcidat(strcat(pathToFile,sprintf('%s/%s_B100%i/%s_B1S00%iR0%i.dat',subject,subject,number,subject,number,i)));
-        tmp=sig(:,ismember(params.ChannelNames.Value,usedChannels));
-        EMGcell{i}=waveformLengthAll(tmp,params.SamplingFrequency.NumericValue,windowEMG,windowShift);
+        [sig, ~, params] = load_bcidat(strcat(pathToFile,...
+            sprintf('%s/%s_B100%i/%s_B1S00%iR0%i.dat',subject,subject,number,subject,number,i)));
+        EMGcell{i}=waveformLengthAll(sig(:,ismember(params.ChannelNames.Value,EMGChannels)),...
+            params.SamplingRate.NumericValue,windowEMG,windowShift);
     end
     
     EMG=cell2mat(EMGcell);