Cite Visbrain

Cite Sleep

Please reference Sleep using its dedicated article in Frontiers in Neuroinformatics. Please let us know if you used or plan to use Sleep in any upcoming publications!

Bibtex entry :

@ARTICLE{10.3389/fninf.2017.00060,
 AUTHOR={Combrisson, Etienne and Vallat, Raphael and Eichenlaub, Jean-Baptiste and O'Reilly, Christian and Lajnef, Tarek and Guillot, Aymeric and Ruby, Perrine M. and Jerbi, Karim},
 TITLE={Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data},
 JOURNAL={Frontiers in Neuroinformatics},
 VOLUME={11},
 PAGES={60},
 YEAR={2017},
 URL={http://journal.frontiersin.org/article/10.3389/fninf.2017.00060},
 DOI={10.3389/fninf.2017.00060},
 ISSN={1662-5196},
 ABSTRACT={We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: 1) Dynamic display of polysomnographic data, spectrogram, hypnogram and topographic maps with several customizable parameters, 2) Implementation of several automatic detection of sleep features such as spindles, K-complexes, slow waves and rapid eye movements, 3) Implementation of practical signal processing tools such as re-referencing or filtering, and 4) Display of main descriptive statistics including publication-ready tables and figures.  The software package supports loading and reading raw EEG data from a standard file formats such as European Data Format, in addition to a range of commercial data formats. Most importantly, Sleep is built on top of the VisPy library, which provides GPU-based fast and high-level visualization. As a result, it is capable of efficiently handling and displaying large sleep datasets. Sleep is freely available (http://visbrain.org/sleep) and comes with sample datasets and an extensive documentation. Novel functionalities will continue to be added and open-science community efforts are expected to enhance the capacities of this module.}
}