diff --git a/data/QUGS/convert.py b/data/QUGS/convert.py
index d1a686e..2982a03 100644
--- a/data/QUGS/convert.py
+++ b/data/QUGS/convert.py
@@ -73,26 +73,6 @@ class DataProcessor:
         else:
             self.data = self._load_all_data()
 
-    def _extract_column_names(self, file_path: str) -> List[str]:
-        """
-        Extracts column names from the header of the given file.
-        Assumes the 6th line contains column names.
-
-        :param file_path: Path to the data file.
-        :return: List of column names.
-        """
-        with open(file_path, "r") as f:
-            header_lines = [next(f) for _ in range(12)]
-
-        # Extract column names from the 6th line
-        channel_line = header_lines[10].strip()
-        tokens = re.findall(r'"([^"]+)"', channel_line)
-        if not channel_line.startswith('"'):
-            first_token = channel_line.split()[0]
-            tokens = [first_token] + tokens
-
-        return tokens  # Prepend 'Time' column if applicable
-
     def _load_dataframe(self, file_path: str) -> OriginalSingleDamageScenario:
         """
         Loads a single data file into a pandas DataFrame.
@@ -100,11 +80,7 @@ class DataProcessor:
         :param file_path: Path to the data file.
         :return: DataFrame containing the numerical data.
         """
-        col_names = self._extract_column_names(file_path)
-        df = pd.read_csv(
-            file_path, delim_whitespace=True, skiprows=11, header=None, memory_map=True
-        )
-        df.columns = col_names
+        df = pd.read_csv(file_path, delim_whitespace=True, skiprows=10, header=0, memory_map=True)
         return df
 
     def _load_all_data(self) -> GroupDataset: