braindecode.datasets.TUH#
- class braindecode.datasets.TUH(path, recording_ids=None, target_name=None, preload=False, add_physician_reports=False, rename_channels=False, set_montage=False, on_missing_files='raise', version='v2.0.1', n_jobs=1)[source]#
Temple University Hospital (TUH) EEG Corpus.
(www.isip.piconepress.com/projects/tuh_eeg/html/downloads.shtml#c_tueg).
- Parameters:
path (str) – Parent directory of the dataset.
recording_ids (list(int) | int) – A (list of) int of recording id(s) to be read (order matters and will overwrite default chronological order, e.g. if recording_ids=[1,0], then the first recording returned by this class will be chronologically later then the second recording. Provide recording_ids in ascending order to preserve chronological order.).
target_name (str) – Can be ‘gender’, or ‘age’.
preload (bool) – If True, preload the data of the Raw objects.
add_physician_reports (bool) – If True, the physician reports will be read from disk and added to the description.
rename_channels (bool) – If True, rename the EEG channels to the standard 10-05 system.
set_montage (bool) – If True, set the montage to the standard 10-05 system.
on_missing_files (Literal['warn', 'raise']) – Behavior when the number of files found in the dataset directory does not match the expected number of files.
version (Literal['v1.1.0', 'v1.2.0']) – Version of the TUH EEG Corpus to use. Currently only v1.1.0 and v1.2.0 are supported.
n_jobs (int) – Number of jobs to be used to read files in parallel.
