mne.datasets.sleep_physionet.temazepam.fetch_data

mne.datasets.sleep_physionet.temazepam.fetch_data(subjects, path=None, force_update=False, base_url='https://physionet.org/physiobank/database/sleep-edfx/sleep-telemetry/', *, verbose=None)

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 [2].

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 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.

base_urlstr

The base URL to download from.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

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, A. H. Zwinderman, B. Tuk, H. A. C. Kamphuisen, and J. J. L. Oberyé. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE Transactions on Biomedical Engineering, 47(9):1185–1194, 2000. doi:10.1109/10.867928.

[2]

Ary L. Goldberger, Luis A. N. Amaral, Leon Glass, Jeffrey M. Hausdorff, Plamen Ch. Ivanov, Roger G. Mark, Joseph E. Mietus, George B. Moody, Chung-Kang Peng, and H. Eugene Stanley. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 2000. doi:10.1161/01.CIR.101.23.e215.