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Parametric Description of EEG Profiles for Assessment of Sleep Architecture in Disorders of Consciousness.

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cris.lastimport.scopus2024-02-12T19:37:43Z
dc.abstract.enWe propose a fully parametric approach to the assessment of sleep architecture, based upon the clas- sical electroencephalographic criteria, applicable also to the recordings of patients with disorders of consciousness (DOC). Sleep spindles and slow waves are automatically detected from the matching pur- suit decomposition of overnight EEG recordings. Their evolution can be presented in the form of EEG profiles, yielding a continuous description of sleep architecture, compatible with the classical criteria used in sleep staging. We propose assessment of these EEG profiles by five parameters, which can be com- bined by a linear classifier, assessing the quality of sleep architecture. Proposed methodology is evaluated on 59 overnight EEG recordings from 19 patients from a hospital for children with severe brain dam- age, in relation to their behavioral diagnosis according to the Coma Recovery Scale-Revised. Presented results indicate robustness of the proposed approach, which may serve as a valuable aid in diagnosis of DOC patients. Complete software environment for computing and presentation of EEG profiles is freely available from http://svarog.pl.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorPietrzak, Marcin
dc.contributor.authorBogotko, Marta
dc.contributor.authorRóżański, Piotr
dc.contributor.authorDuszyk-Bogorodzka, Anna
dc.contributor.authorZieleniewska, Magdalena
dc.contributor.authorDurka, Piotr
dc.date.accessioned2024-01-25T16:20:45Z
dc.date.available2024-01-25T16:20:45Z
dc.date.issued2019
dc.description.financeNie dotyczy
dc.description.number3
dc.description.volume29
dc.identifier.doi10.1142/S0129065718500491
dc.identifier.issn0129-0657
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/115502
dc.identifier.weblinkhttps://www.worldscientific.com/doi/abs/10.1142/S0129065718500491
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofInternational Journal of Neural Systems
dc.relation.pages850049:1-17
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enDisorders of consciousness
dc.subject.ensleep
dc.subject.enEEG profiles
dc.titleParametric Description of EEG Profiles for Assessment of Sleep Architecture in Disorders of Consciousness.
dc.typeJournalArticle
dspace.entity.typePublication