diff --git a/usedMcode/ridgeCV.m b/usedMcode/ridgeCV.m
index 6115e9f..d970d25 100644
--- a/usedMcode/ridgeCV.m
+++ b/usedMcode/ridgeCV.m
@@ -28,7 +28,7 @@
     elseif strcmp(goal,'kin')
         predicted=shiftingMean(kinematics,factor);
     elseif strcmp(goal,'EMG')
-        predicted=trainingDataEMG;
+        predicted=shiftingSum(trainingDataEMG,factor);
     else
         error('only kin, Autoenc, PCA, NNMF and EMG are valid inputs for goal');
     end
@@ -42,6 +42,20 @@
     if eeg
         predicted=predicted(1:end-eegOffset,:);
     end
+    
+    disp([size(trainingData),size(predicted)])
+    minSize=min([size(trainingData,1),size(predicted,1)]);
+    if minSize+5<max([size(trainingData,1),size(predicted,1)])
+	error('data dimensions not matching');
+    end
+    while minSize<size(trainingData,1)
+        trainingData=trainingData(2:end,:);
+    end
+    while minSize<size(predicted,1)
+        predicted=predicted(2:end,:);
+    end
+    disp([size(trainingData),size(predicted)])
+    
 
     correlation=zeros(size(predicted,2),1);
     maxRidgeParamIndex=zeros(size(predicted,2),k);
diff --git a/usedMcode/ridgeCVvia.m b/usedMcode/ridgeCVvia.m
index 4e766c1..90ad349 100644
--- a/usedMcode/ridgeCVvia.m
+++ b/usedMcode/ridgeCVvia.m
@@ -31,7 +31,7 @@
     if strcmp(goal,'kin')
         predicted=shiftingMean(kinematics,factor);
     elseif strcmp(goal,'EMG')
-        predicted=shiftingMean(trainingDataEMG,factor);
+        predicted=shiftingSum(trainingDataEMG,factor);
     else
         error('only kin and EMG are valid inputs for goal');
     end
diff --git a/usedMcode/shiftingSum.m b/usedMcode/shiftingSum.m
new file mode 100644
index 0000000..7ad40b4
--- /dev/null
+++ b/usedMcode/shiftingSum.m
@@ -0,0 +1,10 @@
+function [ output ] = shiftingSum( data,factor )
+%shiftingMean downsampling by taking the mean
+%   taking the mean of $factor data as new datum
+    dataSize=size(data);
+    output=zeros([fix(dataSize(1)/factor),dataSize(2:end)]);
+    for i=1:size(output,1)
+        output(i,:)=sum(data(fix(round((i-1)*factor))+1:min(fix(round(i*factor)),dataSize(1)),:),1);
+    end
+end
+