We have created a public Zotero publication list for the NSRR. Please feel free to reach out to us if you have a relevant publication using NSRR data that should be added to this list.
This list is also an opportunity to identify collaborations and areas of overlap in analysis of NSRR data.
Share your research data on the NSRR.
Demographics, anthropometry, questionnaires, outcomes, and more.
Overview AI for automated sleep staging is considered mature and has found its way to commercial sleep evaluation systems. Systems underpinned by deep learning require large datasets providing a broad sample of sleep stages the machine seeks to ‘learn’. Of concern, most databases used for developing AI sleep stagers include only recordings from adults, creating a significant inherent sample bias when applied to when applied in the pediatric or geriatric sleep setting. Keep reading
Want to be an early adopter of two new web-based tools (Moonlight & Moonbeam) for sleep signals, specifically designed to view NSRR data? If so, 1) read on, 2) head to https://remnrem.net/ to play with them and 3) please do give us any feedback. What is Moonlight? Moonlight is an interactive viewer for polysomnographic data. It is built on top of the command-line Luna package (https://zzz.bwh.harvard.edu/luna/), written using R and the Shiny library. Keep reading
Guest blogger: Grégory Hammad, Ir, PhD GIGA-CRC in vivo imaging, University of Liège, Liège, Belgium, Chair of Neurogenetics, Faculty of Medicine, Technical University of Munich, Munich, Germany Overview PyActigraphy is an open-source Python software for actigraphy and light data analysis. Keep reading