New virtual issue of SLEEP on "Sleep and Big Data", guest edited by Dr. Susan Redline highlights new advances in big data approaches to sleep, and includes a special editorial by Dr. Redline and Dr. Shaun Purcell: https://academic.oup.com/sleep/pages/big-data-vi
Share your research data on the NSRR.
Minute-by-minute activity data collected on wearable watches and similar devices.
Raw signals comprised of EEGs, ECGs, oxygen, and position channels.
Guest Blogger: Mattias Baumert Overview What is the problem being addressed? Our objective was to quantify the burden of cortical arousals throughout sleep and determine its association with long-term cardiovascular (CV) and overall mortality. What was the approach to solving the problem? We quantified arousal burden (AB) as the cumulative duration of all arousal events relative to total sleep time in three large cohort studies. Keep reading
In an effort to highlight new and exciting work related to the NSRR, we are featuring guest blog posts from authors who have recently published using NSRR data. The following references: Zeng S, Li F, Wang R, Li F. Propensity score weighting for covariate adjustment in randomized clinical trials. Statistics in Medicine. 2020;1–17. https://doi.org/10.1002/sim.8805 Please contact support@sleepdata.org if you have new work you would like to share in a guest blog post. Keep reading
A patient's apnea-hypopnea index (AHI) determines whether or not they are eligible for reimbursable treatment. But how certain can we be that a patient's AHI is actually above or below a clinical threshold? In this study using 2049 subjects from MESA dataset from NSRR, we develop a metric for computing a confidence interval around a patient's AHI. Keep reading