diff --git a/src/features/phone_esm/straw/main.py b/src/features/phone_esm/straw/main.py
index 306bb681..4f5b060b 100644
--- a/src/features/phone_esm/straw/main.py
+++ b/src/features/phone_esm/straw/main.py
@@ -52,7 +52,6 @@ def straw_features(sensor_data_files, time_segment, provider, filter_data_by_seg
 
         if not esm_data.empty:
             esm_features = pd.DataFrame()
-
             for scale in requested_scales:
                 questionnaire_id = QUESTIONNAIRE_IDS[scale]
                 mask = esm_data["questionnaire_id"] == questionnaire_id
@@ -60,4 +59,7 @@ def straw_features(sensor_data_files, time_segment, provider, filter_data_by_seg
                 #TODO Create the column esm_user_score in esm_clean. Currently, this is only done when reversing.
 
             esm_features = esm_features.reset_index()
+            if 'index' in esm_features: # In calse of empty esm_features df 
+                esm_features.rename(columns={'index': 'local_segment'}, inplace=True)
+
     return esm_features