diff --git a/Analysis/SdasImport2File.py b/Analysis/SdasImport2File.py
index eb0e826..28c9055 100644
--- a/Analysis/SdasImport2File.py
+++ b/Analysis/SdasImport2File.py
@@ -32,6 +32,7 @@ def build_import_table_langmuir():
         table.append(nd)
     return table
 
+
 """
 def plot_signals(pulse, nodeTable):
     try:
@@ -64,7 +65,8 @@ def plot_signals(pulse, nodeTable):
 
 
 def get_arguments():
-    parser = argparse.ArgumentParser(description='ISTTOK ')
+    parser = argparse.ArgumentParser(
+            description='Import SDAS ISTTOK to csv File ')
     parser.add_argument('-p', '--pulse',
                         help='pulse (shot) number', default='46241', type=int)
     # parser.add_argument('-s', '--shot',
@@ -82,6 +84,8 @@ def get_arguments():
                         action='store_true', help='Plot Signals')
     parser.add_argument('-n', '--names',
                         action='store_true', help='Print Node Table')
+    parser.add_argument('-z', '--zeros', type=int,
+                        help='Insert zeros rows', default='0')
     return parser.parse_args()
 
 
@@ -99,14 +103,20 @@ if (__name__ == "__main__"):
     time = np.arange(len(data), dtype='uint32') * int(period)
     langmuirNp = np.array(langmuirData).T
     data2file = np.insert(langmuirNp, 0, time,  axis=1)
-    filename = f"{args.file:s}_{pulseNo}.csv"
-    head = ('#Time (uint32)[1],Langmuir0 (float32)[1],Langmuir1 (float32)[1],'
-            'Langmuir2 (float32)[1],Langmuir3 (float32)[1]')
-    # formt = ['%d', '%.6f', '%.6f', '%.6f', '%.6f']
-    formt = '%d,%.6f,%.6f,%.6f,%.6f'
-#    formt = '%d,{%.6f,%.6f,%.6f,%.6f}'
-#    head = '#TimeSdas (uint32)[1],LangmuirSignals (float32)[4]'
+    if args.zeros > 0:
+        nCol = data2file.shape[1]
+        zerRows = np.zeros([args.zeros, nCol])
+        data2file = np.insert(data2file, 0, zerRows, axis=0)
+    fname = f"{args.file:s}_{pulseNo}"
+    filename = f"{fname}.csv"
+#    head = ('#Time (uint32)[1],Langmuir0 (float32)[1],Langmuir1 (float32)[1],'
+#            'Langmuir2 (float32)[1],Langmuir3 (float32)[1]')
+#    formt = '%d,%.6f,%.6f,%.6f,%.6f'
+    formt = '%d,{%.6f,%.6f,%.6f,%.6f}'
+    head = '#TimeSdas (uint32)[1],LangmuirSignals (float32)[4]'
     np.savetxt(filename, data2file, fmt=formt,
-               header=head, comments='')  # , delimiter=',')
-
+               header=head, comments='')
+    # , delimiter=',')
+    np.save(fname, data2file)
 #    plot_signals(46241, table)
+# formt = ['%d', '%.6f', '%.6f', '%.6f', '%.6f']
diff --git a/Configurations/RTApp-Isttok-File.cfg b/Configurations/RTApp-Isttok-File.cfg
index 9552ad3..3f86251 100644
--- a/Configurations/RTApp-Isttok-File.cfg
+++ b/Configurations/RTApp-Isttok-File.cfg
@@ -114,7 +114,7 @@
             NextState = "WAITING_FOR_PRE"
             NextStateError = "IDLE"
             Timeout = 0 
-            +ChangeToRunMsg = {
+            +ChangeToWaitPreMsg = {
                 Class = Message
                 Destination = MdsLoopApp
                 Mode = ExpectsReply
@@ -158,6 +158,16 @@
             NextState = "PULSING"
             NextStateError = "IDLE"
             Timeout = 0 
+            +ChangeToRunMsg = {
+                Class = Message
+                Destination = MdsLoopApp
+                Mode = ExpectsReply
+                Function = PrepareNextState
+                +Parameters = {
+                    Class = ConfigurationDatabase
+                    param1 = Online
+                }
+            }
             +CalcOffSetsMsg = {
                 Class = "Message"
                     Destination = "MdsLoopApp.Functions.GAMElectricProbes"
@@ -508,7 +518,7 @@ $MdsLoopApp = {
         }
         +FileReader_DS = {
             Class = FileDataSource::FileReader
-            Filename = "../Analysis/LangmuirSdas_46241_strt.csv" 
+            Filename = "../Analysis/LangmuirSdas_46241.csv" 
             FileFormat = "csv"
             CSVSeparator = ","
             Interpolate = "no"
@@ -525,7 +535,7 @@ $MdsLoopApp = {
             Overwrite = "yes" 
             FileFormat = "csv"
             CSVSeparator = "," 
-            StoreOnTrigger = 0 
+            StoreOnTrigger = 0  //Compulsory. If 0 all the data in the circular buffer is continuously stored. If 1 data is stored when the Trigger signal is 1 (see below).
             Signals = {
                 Time = { 
                     Type = uint32
diff --git a/GAMs/ElectricProbesGAM/ElectricProbesGAM.cpp b/GAMs/ElectricProbesGAM/ElectricProbesGAM.cpp
index 03d2779..e6b3a5c 100644
--- a/GAMs/ElectricProbesGAM/ElectricProbesGAM.cpp
+++ b/GAMs/ElectricProbesGAM/ElectricProbesGAM.cpp
@@ -310,10 +310,10 @@ namespace MARTe {
 
     bool ElectricProbesGAM::Execute() {
         //*outputEpZ = 3.4;
-        *outputEpR =  (inputSignal[2] - inputOffsets[2]) - 
-            (inputSignal[1] - inputOffsets[1]);
-        *outputEpZ =  inputSignal[0] - inputSignal[3];
-        //;*inputElectricTop - *inputElectricOuter;
+        *outputEpR =  inputSignal[0];
+        *outputEpZ =  inputSignal[0] - inputOffsets[0];
+        //*outputEpR =  (inputSignal[2] - inputOffsets[2]) - 
+        //*outputEpZ =  inputSignal[0] - inputSignal[3];
         //*outputSignal1 = *inputSignals[0] - *inputSignals[1];
 
         //update the last values
@@ -404,8 +404,14 @@ namespace MARTe {
     ErrorManagement::ErrorType ElectricProbesGAM::CalcOffSets() {
 
         ErrorManagement::ErrorType ret = MARTe::ErrorManagement::NoError;
+//REPORT_ERROR(ErrorManagement::Information, 
+  //                      "CalcOffSets. numberOfSamplesAvg: %d!", numberOfSamplesAvg);
         REPORT_ERROR(ErrorManagement::Information, 
-                        "CalcOffSets. numberOfSamplesAvg: %d!", numberOfSamplesAvg);
+                        "CalcOffSets. Inputs:%f, %f, %f, %f.",
+                        inputSignal[0],
+                        inputSignal[1],
+                        inputSignal[2],
+                        inputSignal[3]);
         if (numberOfSamplesAvg > 1u) {
             for (uint32 i = 0u; i < EP_NUM_INPUTS; i++) {
                 inputOffsets[i] = 0.0f;
@@ -413,9 +419,13 @@ namespace MARTe {
                     inputOffsets[i] += lastInputs[i][k];
                 }
                 inputOffsets[i] /= numberOfSamplesAvg;
-                REPORT_ERROR(ErrorManagement::Information, 
-                        "CalcOffSets. Offset:%d= %f!", i, inputOffsets[i]);
             }
+            REPORT_ERROR(ErrorManagement::Information, 
+                        "CalcOffSets. Offset:%f, %f, %f, %f.",
+                        inputOffsets[0],
+                        inputOffsets[1],
+                        inputOffsets[2],
+                        inputOffsets[3]);
         }
 
         return ret;