ArticleFrontiers in neuroinformatics2017
Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data.
Article in Frontiers in neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models.NPJ digital medicine · 2025Article
- Attentional failures after sleep deprivation are locked to joint neurovascular, pupil and cerebrospinal fluid flow dynamics.Nature neuroscience · 2025Article
- From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping.Bio-protocol · 2025Article
- Slow wave synchrony during NREM sleep tracks cognitive impairment in prodromal Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Annotated interictal discharges in intracranial EEG sleep data and related machine learning detection scheme.Scientific data · 2024Article
- Recurrent Hippocampo-neocortical sleep-state divergence in humans.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.Journal of medical Internet research · 2022Article
- Pre-gelled Electrode Grid for Self-Applied EEG Sleep Monitoring at Home.Frontiers in neuroscience · 2022Article
- Calcium imaging of adult-born neurons in freely moving mice.STAR protocols · 2021Article
- Flex-Printed Ear-EEG Sensors for Adequate Sleep Staging at Home.Frontiers in digital health · 2021Article
- Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals.PLoS computational biology · 2020Article
- Macroscopic information-based taste representations in insular cortex are shaped by stimulus concentration.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research.IEEE journal of translational engineering in health and medicine · 2020Article
- A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals.Frontiers in neuroinformatics · 2019Article
- Sympathetic activity contributes to the fMRI signal.Communications biology · 2019Article
- Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization.Frontiers in neuroinformatics · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (REM), (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 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.
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Registered trials
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