diff --git a/text/collection.txt b/text/collection.txt
index 7c1a10e..8b8883b 100644
--- a/text/collection.txt
+++ b/text/collection.txt
@@ -18,3 +18,5 @@
 EMG: 55.71%, EEG: 33.32% (default, minFrequ=8, maxFreq=30)
 EMG: 28.25%, EEG: 44.62% (default, windowEMG=1s)
 
+new default, including kinematics: (threshold=10000, pause0 (0.5s pause, 0.5s included))
+EMG: 56.76%, EEG: 41.51%, corrEMG: 0.0984,0.1382,0.0446, corrEEG: 0.2409,0.2693,0.1729
diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index 371b7a4..627351a 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -6,11 +6,11 @@
 
 allSubjects=true; %run all subjects and days or only one random day for one random subject
 
-windowEMG=0.2; %try 1s
+windowEMG=0.2;
 windowEEG=1;
 shift=0.2;
 pburgOrder=50;
-minEEGFreq=0; %try 8-30
+minEEGFreq=0;
 maxEEGFreq=200;
 pause=false;
 ridgeParams=[0.1];
@@ -39,6 +39,7 @@
 maxCEEG=zeros([j,k,1]);
 cmScaledEMG=zeros([j,5,5]);
 cmScaledEEG=zeros([j,5,5]);
+maxRidgeParamIndex=zeros([j,3,k]);
 correlationEMG=zeros([j,3]); %x,y,angle
 correlationEEG=zeros([j,3]);
 
@@ -49,8 +50,8 @@
         savePath=readEEG(pathToFile,subject,number,windowEMG,windowEEG,shift,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause);
         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,~EEG,k,maxExpC,maxPerClass);
         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,EEG,k,maxExpC,maxPerClass);
-        [correlationEMG(j,:)]=ridgeCV(savePath,false,k,ridgeParams);
-        [correlationEEG(j,:)]=ridgeCV(savePath,EEG,k,ridgeParams);
+        [correlationEMG(j,:),maxRidgeParamIndex(j,:,:)]=ridgeCV(savePath,false,k,ridgeParams);
+        [correlationEEG(j,:),maxRidgeParamIndex(j,:,:)]=ridgeCV(savePath,EEG,k,ridgeParams);
         fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     end
 
diff --git a/usedMcode/kFoldRidge.m b/usedMcode/kFoldRidge.m
index 3811a46..7f69fab 100644
--- a/usedMcode/kFoldRidge.m
+++ b/usedMcode/kFoldRidge.m
@@ -1,4 +1,4 @@
-function [coeffs]=kFoldRidge(data,kin,k,ridgeParams)
+function [coeffs,maxRidgeParamIndex]=kFoldRidge(data,kin,k,ridgeParams)
     if any(size(ridgeParams)>1)
         
         correlationPerParam=zeros(size(ridgeParams));
@@ -21,10 +21,8 @@
            correlationPerParam(ridgeParams==param)=mean(correlations);
         end
         [~,maxRidgeParamIndex]=max(correlationPerParam);
-        coeffs=ridge(kin,data,ridgeParams(maxRidgeParamIndex),0);
-        
-        
     else
-        coeffs=ridge(kin,data,ridgeParams(1),0);
+        maxRidgeParamIndex=1;
     end
+    coeffs=ridge(kin,data,ridgeParams(maxRidgeParamIndex),0);
 end
\ No newline at end of file
diff --git a/usedMcode/ridgeCV.m b/usedMcode/ridgeCV.m
index bb686a3..2fea4fd 100644
--- a/usedMcode/ridgeCV.m
+++ b/usedMcode/ridgeCV.m
@@ -1,4 +1,4 @@
-function [correlation]=ridgeCV(savePath,EEG,k,ridgeParams)
+function [correlation,maxRidgeParamIndex]=ridgeCV(savePath,EEG,k,ridgeParams)
     load(savePath);
     clear classification;
     if EEG
@@ -10,6 +10,7 @@
     clear trainingDataEMG;
     
     correlation=zeros(size(kinematics,2),1);
+    maxRidgeParamIndex=zeros(size(kinematics,2),k);
     
     for j=1:size(kinematics,2)
         randMap=randperm(size(trainingData,1));
@@ -23,7 +24,7 @@
             remainingKin=kin(mod(randMap,k)~=i-1);
             %fprintf('%s create %ith model\n',datestr(datetime('now')),i)
 
-            [coeffs]=kFoldRidge(remainingData,remainingKin,k,ridgeParams);
+            [coeffs,maxRidgeParamIndex(j,i)]=kFoldRidge(remainingData,remainingKin,k,ridgeParams);
 
             correlations(i)=ridgeCorrelation(leaveData,leaveKin,coeffs);
         end