braindecode.datasets.TUHAbnormal#
- class braindecode.datasets.TUHAbnormal(path: str, recording_ids: list[int] | None = None, target_name: str | tuple[str, ...] | None = 'pathological', preload: bool = False, add_physician_reports: bool = False, rename_channels: bool = False, set_montage: bool = False, n_jobs: int = 1)[source]#
Temple University Hospital (TUH) Abnormal EEG Corpus. see www.isip.piconepress.com/projects/tuh_eeg/html/downloads.shtml#c_tuab
- 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 ‘pathological’, ‘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.
n_jobs (int) – Number of jobs to be used to read files in parallel.
