mne.datasets.sleep_physionet.temazepam.fetch_data¶
- mne.datasets.sleep_physionet.temazepam.fetch_data(subjects, *, 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 2.
- Parameters
- subjects
list
ofint
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
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.
- base_url
str
The base URL to download from.
- verbosebool,
str
,int
, orNone
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.
- 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.