Fully parametric sleep staging compatible with the classical criteria
| Autor: | H. Klekowicz, Szymon Niemcewicz, Piotr J. Durka, Andrzej Wakarow, Urszula Malinowska |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Source code
Eye Movements Computer science Speech recognition media_common.quotation_subject Movement Polysomnography Sleep spindle Alpha wave Access to Information Automation User-Computer Interface Humans Parametric statistics media_common Slow-wave sleep Internet Hypnogram General Neuroscience Brain Electroencephalography Signal Processing Computer-Assisted Matching pursuit Time–frequency analysis Sleep Stages Algorithms Software Information Systems |
| Zdroj: | Neuroinformatics. 7(4) |
| ISSN: | 1559-0089 |
| Popis: | 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 . |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink