Minute-by-minute activity data collected on wearable watches and similar devices.
The NSRR is revamping its Tools pages and needs your help! Have you developed a tool for the analysis of sleep data that you'd like others to know about and use? Do you have some tricks and tips for using existing packages that you'd like to share? What about a write-up listing your favorite tools, explaining how you use them and what's good about them? Or perhaps you'd like to share some data analytic problems that aren't met by existing tools? If so, we'd love for you to submit a gues. Keep reading
Visualizing data is almost always useful, but this can be difficult when you have a lot of complex data. This is where dimension reduction techniques can play an important role. As described here, we applied one such technique to sleep EEG spectra from over 16,000 individuals in the NSRR, to get a feel for some of the sources of individual differences (both physiological and artefactual) in these data. Keep reading
Luna is a C/C++ library focused on the analysis of large numbers of sleep studies, such as those available from the NSRR. Luna is completely open-source and not dependent on proprietary software. If you're interested in analyzing sleep signals from the NSRR, you might want to start by looking at Luna. Currently, there is a command-line tool (lunaC) and an extension library for R (lunaR). Keep reading