Fully parametric sleep staging compatible with the classical criteria.

Neuroinformatics
Urszula MalinowskaP J Durka

Abstract

We present an open system for sleep staging, based explicitly on the criteria used in visual EEG analysis. Slow waves, theta and alpha waves, sleep spindles and K-complexes are parameterized in terms of time duration, amplitude, and frequency of each waveform by means of the matching pursuit algorithm. It allows the detection of these structures using mostly the criteria from visual EEG analysis. For example, within this framework for the first time we compute directly the relative duration of slow waves, which is a basic parameter in recognition of deep sleep stages. Performance of the system is evaluated on 20 polysomnographic recordings, scored by experienced encephalographers. Seven recordings were scored by more than one expert. Proposed system gives concordance with visual staging close to the inter-expert concordance. The algorithm is implemented in a user-friendly software system for display and analysis of polysomnographic recordings, freely available with complete source code from http://signalml.org/svarog.html .

References

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Citations

Oct 23, 2013·Biomedical Engineering Online·Urszula MalinowskaPiotr J Durka
Jun 2, 2012·PloS One·Katarzyna J BlinowskaHenryk Skarzynski
Oct 28, 2011·Sleep Medicine Reviews·Marina RonzhinaIvo Provazník
Dec 2, 2014·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Sabrina L WendtSimon C Warby
Feb 1, 2015·Journal of Neuroscience Methods·Bo-Lin SuChen-Wen Yen
Apr 11, 2018·Frontiers in Human Neuroscience·Patrick KraussMaximilian Traxdorf
Jan 16, 2019·International Journal of Neural Systems·Magdalena ZieleniewskaPiotr Durka
Sep 11, 2019·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Claudio BabiloniMark Hallett

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