Vignettes

In this section, we plan to provide a growing series of pieces, to describe some of the more practical aspects, or best-practice workflows, of various features of Luna, as well as their application to NSRR and other data.

• Using Luna at scale

• Luna for Windows users

• It's about time: specifying annotation intervals

• Merging and converting EDFs

• Evaluating, manipulating & predicting stages (SOAP/POPS)

• EEG microstate analysis, by Lei Wang

• Artifact rejection for hdEEG sleep data, by Nataliia Kozhemiako

• Working with discontinuous EDFs and annotations

• Cox & Fell's Analyzing human sleep EEG, by Shaun Purcell & Roy Cox

• NSRR whole-dataset visualizations

• Working with compressed EDFs

• EEG polarity issues in the NSRR, by Shaun Purcell and Michael Prerau

• UMAP clustering of NSRR data