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dc.contributor.authorGavrishev, A. A.-
dc.contributor.authorГавришев, А. А.-
dc.date.accessioned2021-11-15T13:41:45Z-
dc.date.available2021-11-15T13:41:45Z-
dc.date.issued2021-
dc.identifier.citationGavrisheva, N. V., Gavrishev, A. A. Nonlinear dynamics methods for neonatal EEG differentiation // Biomedical Engineering. - 2021. - Том 55. - Выпуск 4. - Стр.: 294 - 296. - DOI10.1007/s10527-021-10121-yru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/18266-
dc.description.abstractQuantitative nonlinear dynamics methods were used to study EEGs of newborns diagnosed with diseases accompanied by seizures and control EEGs of apparently healthy newborns. The control EEGs were found to have properties close to those of white noise. The EEGs of newborns with seizures had more pronounced regular properties. The obtained results may provide a basis for a technique for differentiating between newborns suspected for diseases accompanied by seizures and apparently healthy newborns.ru
dc.language.isoenru
dc.publisherSpringerru
dc.relation.ispartofseriesBiomedical Engineering-
dc.subjectDisease controlru
dc.subjectDynamicsru
dc.subjectNeonatal EEGru
dc.subjectRegular propertiesru
dc.subjectNonlinear dynamics methodru
dc.subjectPropertyru
dc.subjectWhite noiseru
dc.titleNonlinear dynamics methods for neonatal EEG differentiationru
dc.typeСтатьяru
vkr.instИнститут математики и информационных технологий имени профессора Н.И. Червяковаru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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