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N
ational
S
leep

R
esearch
R
esource

Free research data and tools.

What interests you?

Share your research data on the NSRR.

Demographics, anthropometry, questionnaires, outcomes, and more.

Minute-by-minute activity data collected on wearable watches and similar devices.

Raw signals comprised of EEGs, ECGs, oxygen, and position channels.

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View our most popular datasets.

Luna: software for the analysis of sleep signal data

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

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By shaunpurcell on May 28, 2019 May 28, 2019 in Tools

UMAP clustering of NSRR data

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

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By shaunpurcell on May 28, 2019 May 28, 2019 in Data Notes

EEG polarity issues in the NSRR

Many analyses of sleep EEG data are effectively agnostic to the polarity of the EEG signal. That is, you could flip the signal (i.e. multiply every sample value by -1) and still obtain equivalent results, e.g. from most spectral analyses. For certain analyses that consider the phase of a signal, however, it will in fact matter that the polarity of the signal is correct. Keep reading

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By shaunpurcell on May 27, 2019 May 27, 2019 in Data Notes
An NHLBI resource for the sleep research community.

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