braindecode.datasets.TUH

class braindecode.datasets.TUH(path, recording_ids=None, target_name=None, preload=False, add_physician_reports=False, n_jobs=1)

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.

n_jobs: int

Number of jobs to be used to read files in parallel.

Examples using braindecode.datasets.TUH