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laura/ntlab_create_loaded_channels_tsv.py

+import csv
+
+def create_loaded_channels_tsv(path, channels):
+    with open(path, 'wt') as out_file:
+        tsv_writer = csv.writer(out_file, delimiter='\t', lineterminator='\n')
+        channelRow = []
+
+        # Creating headers for channels.tsv
+        channelRow.append('name')
+        channelRow.append('type')
+        channelRow.append('units')
+        tsv_writer.writerow(channelRow)
+        channelRow.clear()
+
+        # Writing channels to channels.tsv
+        for row in channels:
+            if (row == 'trigger'):
+                break
+
+            channelRow.append(row)
+            if (row.__contains__('EMG')):
+                channelRow.append('EMG')
+            elif (row.__contains__('ECG')):
+                channelRow.append('ECG')
+            elif (row.__contains__('EOG')):
+                channelRow.append('EOG')
+            else:
+                channelRow.append('EEG')
+            channelRow.append('uV')
+
+            tsv_writer.writerow(channelRow)
+            channelRow.clear()
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