mne.datasets.sleep_physionet.temazepam.fetch_data¶

mne.datasets.sleep_physionet.temazepam.fetch_data(subjects, recording=[b'Placebo', 'temazepam'], path=None, force_update=False, update_path=None, base_url='https://physionet.org/physiobank/database/sleep-edfx/sleep-telemetry/', verbose=None)[source]¶

Get paths to local copies of PhysioNet Polysomnography dataset files.

This will fetch data from the publicly available subjects from PhysioNet’s study of Temazepam effects on sleep [1]. This corresponds to a set of 22 subjects. Subjects had mild difficulty falling asleep but were otherwise healthy.

See more details in the physionet website.

Parameters

subjectslist of int: The subjects to use. Can be in the range of 0-21 (inclusive).
pathNone | str: Location of where to look for the PhysioNet data storing location. If None, the environment variable or config parameter MNE_DATASETS_PHYSIONET_SLEEP_PATH is used. If it doesn’t exist, the “~/mne_data” directory is used. If the Polysomnography dataset is not found under the given path, the data will be automatically downloaded to the specified folder.
force_updatebool: Force update of the dataset even if a local copy exists.
update_pathbool | None: If True, set the MNE_DATASETS_EEGBCI_PATH in mne-python config to the given path. If None, the user is prompted.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

pathslist: List of local data paths of the given type.

See also

mne.datasets.sleep_physionet.age.fetch_data()

Notes

For example, one could do:

>>> from mne.datasets import sleep_physionet
>>> sleep_physionet.temazepam.fetch_data(subjects=[1]) 

This would download data for subject 0 if it isn’t there already.

References

1: B Kemp, AH Zwinderman, B Tuk, HAC Kamphuisen, JJL Oberyé. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE-BME 47(9):1185-1194 (2000).
2: Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. (2000) PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220