CBCIC
This function loads EEG data for a specific subject and session from the CBCIC dataset. It processes the data to fit the structure of the eegdata dictionary, which is used for further processing and analysis.
- param subject:
Index of the subject to retrieve the data from. Must be between 1 and 9. Default is 1.
- type subject:
int, optional
- param session_list:
List of session codes to load. Valid options are ‘T’ (training) and ‘E’ (evaluation). If None, all sessions are loaded. Default is None.
- type session_list:
list, optional
- param labels:
List of labels to include in the dataset. Valid options are ‘left-hand’ and ‘right-hand’. Default is [‘left-hand’, ‘right-hand’].
- type labels:
list, optional
- param path:
Path to the folder containing the dataset files. Default is ‘data/cbcic/’.
- type path:
str, optional
- returns:
A dictionary containing the following keys:
X: EEG data as a numpy array. y: Labels corresponding to the EEG data. sfreq: Sampling frequency of the EEG data. y_dict: Mapping of labels to integers. events: Dictionary describing event markers. ch_names: List of channel names. tmin: Start time of the EEG data.
- rtype:
dict
- raises ValueError:
If any of the input parameters are invalid or if the specified file does not exist.
Examples
Load EEG data for subject 1, all sessions, and default labels:
>>> eeg_data = cbcic(subject=1)
>>> print(eeg_data['X'].shape) # Shape of the EEG data
>>> print(eeg_data['y']) # Labels