[FIX] Applying suggestions from the revision

moabb/datasets/physionet_mi.py

@@ -176,41 +176,3 @@ def _load_data(self, subject, runs, path=None, force_update=False, verbose=None)
             p = data_dl(url, sign, path, force_update, verbose)
             data_paths.append(p)
         return data_paths
-
-    def _create_stim_channels(self, raw):
-        # Define a consistent mapping from event descriptions to integer IDs
-        desired_event_id = self.events
-
-        # Get events using the consistent event_id mapping
-        events, _ = mne.events_from_annotations(raw, event_id=desired_event_id)
-
-        # Filter the events array to include only desired events
-        desired_event_ids = list(desired_event_id.values())
-        filtered_events = events[np.isin(events[:, 2], desired_event_ids)]
-
-        # Create annotations from filtered events using the inverted mapping
-        event_desc = {v: k for k, v in desired_event_id.items()}
-        annot_from_events = mne.annotations_from_events(
-            events=filtered_events,
-            event_desc=event_desc,
-            sfreq=raw.info["sfreq"],
-            orig_time=raw.info["meas_date"],
-        )
-        raw.set_annotations(annot_from_events)
-
-        # Create the stim channel data array
-        stim_channs = np.zeros((1, raw.n_times))
-        for event in filtered_events:
-            sample_index = event[0]
-            event_code = event[2]  # Consistent event IDs
-            stim_channs[0, sample_index] = event_code
-
-        # Create the stim channel and add it to raw
-        stim_channel_name = "STIM"
-        stim_info = mne.create_info(
-            [stim_channel_name], sfreq=raw.info["sfreq"], ch_types=["stim"]
-        )
-        stim_raw = mne.io.RawArray(stim_channs, stim_info, verbose=False)
-        raw_with_stim = raw.copy().add_channels([stim_raw], force_update_info=True)
-
-        return raw_with_stim