diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index 4e0e3f4..8982846 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -81,18 +81,18 @@
         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset);
         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset);
         [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset);
-        [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEMGautoenc(j,:),maxRidgeParamIndexEMGautoenc(j,:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEEGautoenc(j,:),maxRidgeParamIndexEEGautoenc(j,:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationLFautoenc(j,:),maxRidgeParamIndexLFautoenc(j,:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEMGpca(j,:),maxRidgeParamIndexEMGpca(j,:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEEGpca(j,:),maxRidgeParamIndexEEGpca(j,:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationLFpca(j,:),maxRidgeParamIndexLFpca(j,:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEMGnnmf(j,:),maxRidgeParamIndexEMGnnmf(j,:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationEEGnnmf(j,:),maxRidgeParamIndexEEGnnmf(j,:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-        [correlationLFnnmf(j,:),maxRidgeParamIndexLFnnmf(j,:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
+        [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
+        [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
+        [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);
+        [correlationEMGautoenc(j,:),maxRidgeParamIndexEMGautoenc(j,:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,eegOffset);
+        [correlationEEGautoenc(j,:),maxRidgeParamIndexEEGautoenc(j,:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,eegOffset);
+        [correlationLFautoenc(j,:),maxRidgeParamIndexLFautoenc(j,:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,eegOffset);
+        [correlationEMGpca(j,:),maxRidgeParamIndexEMGpca(j,:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,eegOffset);
+        [correlationEEGpca(j,:),maxRidgeParamIndexEEGpca(j,:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,eegOffset);
+        [correlationLFpca(j,:),maxRidgeParamIndexLFpca(j,:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,eegOffset);
+        [correlationEMGnnmf(j,:),maxRidgeParamIndexEMGnnmf(j,:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,eegOffset);
+        [correlationEEGnnmf(j,:),maxRidgeParamIndexEEGnnmf(j,:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,eegOffset);
+        [correlationLFnnmf(j,:),maxRidgeParamIndexLFnnmf(j,:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,eegOffset);
         fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     end
     
@@ -106,18 +106,18 @@
     [meanAccurancysEMG,maxCEMG,cmScaledEMG(:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset);
     [meanAccurancysEEG,maxCEEG,cmScaledEEG(:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset);
     [meanAccurancysLF,maxCLF,cmScaledLF(:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset);
-    [correlationEMGkin,maxRidgeParamIndexEMGkin(:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEEGkin,maxRidgeParamIndexEEGkin(:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationLFkin,maxRidgeParamIndexLFkin(:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEMGautoenc,maxRidgeParamIndexEMGautoenc(:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEEGautoenc,maxRidgeParamIndexEEGautoenc(:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationLFautoenc,maxRidgeParamIndexLFautoenc(:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEMGpca,maxRidgeParamIndexEMGpca(:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEEGpca,maxRidgeParamIndexEEGpca(:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationLFpca,maxRidgeParamIndexLFpca(:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEMGnnmf,maxRidgeParamIndexEMGnnmf(:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationEEGnnmf,maxRidgeParamIndexEEGnnmf(:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
-    [correlationLFnnmf,maxRidgeParamIndexLFnnmf(:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,shiftEMG,shiftEEG,eegOffset);
+    [correlationEMGkin,maxRidgeParamIndexEMGkin(:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
+    [correlationEEGkin,maxRidgeParamIndexEEGkin(:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
+    [correlationLFkin,maxRidgeParamIndexLFkin(:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);
+    [correlationEMGautoenc,maxRidgeParamIndexEMGautoenc(:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,eegOffset);
+    [correlationEEGautoenc,maxRidgeParamIndexEEGautoenc(:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,eegOffset);
+    [correlationLFautoenc,maxRidgeParamIndexLFautoenc(:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,eegOffset);
+    [correlationEMGpca,maxRidgeParamIndexEMGpca(:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,eegOffset);
+    [correlationEEGpca,maxRidgeParamIndexEEGpca(:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,eegOffset);
+    [correlationLFpca,maxRidgeParamIndexLFpca(:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,eegOffset);
+    [correlationEMGnnmf,maxRidgeParamIndexEMGnnmf(:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,eegOffset);
+    [correlationEEGnnmf,maxRidgeParamIndexEEGnnmf(:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,eegOffset);
+    [correlationLFnnmf,maxRidgeParamIndexLFnnmf(:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,eegOffset);
     fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     
     save(strcat(pathToFile,sprintf('../matlabData/%s_call%s%i-%s.mat',datestr(datetime('now')),subject,number,name)));
diff --git a/usedMcode/ridgeCV.m b/usedMcode/ridgeCV.m
index f481f03..a4a1ff4 100644
--- a/usedMcode/ridgeCV.m
+++ b/usedMcode/ridgeCV.m
@@ -1,21 +1,20 @@
-function [correlation,maxRidgeParamIndex]=ridgeCV(savePath,data,goal,k,ridgeParams,shiftEMG,shiftEEG,eegOffset)
+function [correlation,maxRidgeParamIndex]=ridgeCV(savePath,data,goal,k,ridgeParams,eegOffset)
     load(savePath);
     clear classification;
     eeg=false;
     if strcmp(data,'EEG')
         eeg=true;
         trainingData=trainingDataEEG(eegOffset+1:end,:);
-        factor=shiftEEG/shiftEMG;
     elseif strcmp(data,'EMG')
         trainingData=trainingDataEMG;
-        factor=1;
     elseif strcmp(data,'LF')
         eeg=true;
         trainingData=trainingDataEEGlf(eegOffset+1:end,:);
-        factor=shiftEEG/shiftEMG;
     else
         error('only EEG, EMG and LF are valid inputs for data');
     end
+    
+    factor=size(trainingDataEMG,1)/(size(trainingData,1)+eegOffset);
 
     clear trainingDataEEG;
     clear trainingDataEEGlf;
diff --git a/usedMcode/shiftingMean.m b/usedMcode/shiftingMean.m
index 91c119b..7c417ae 100644
--- a/usedMcode/shiftingMean.m
+++ b/usedMcode/shiftingMean.m
@@ -4,7 +4,7 @@
     dataSize=size(data);
     output=zeros([fix(ceil(dataSize(1)/factor)),dataSize(2:end)]);
     for i=1:size(output,1)
-        output(i,:)=mean(data((i-1)*factor+1:min(i*factor,dataSize(1)),:),1);
+        output(i,:)=mean(data(fix(round((i-1)*factor))+1:min(fix(round(i*factor)),dataSize(1)),:),1);
     end
 end