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)[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 2.
- Parameters
- subjects
listofint The subjects to use. Can be in the range of 0-21 (inclusive).
- path
None|str Location of where to look for the PhysioNet data storing location. If None, the environment variable or config parameter
PHYSIONET_SLEEP_PATHis 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_url
str 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 andmne.verbose()for details. Should only be passed as a keyword argument.
- subjects
- Returns
- paths
list List of local data paths of the given type.
- paths
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.