Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/18266
Title: Nonlinear dynamics methods for neonatal EEG differentiation
Authors: Gavrishev, A. A.
Гавришев, А. А.
Keywords: Disease control;Dynamics;Neonatal EEG;Regular properties;Nonlinear dynamics method;Property;White noise
Issue Date: 2021
Publisher: Springer
Citation: Gavrisheva, 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-y
Series/Report no.: Biomedical Engineering
Abstract: Quantitative 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.
URI: http://hdl.handle.net/20.500.12258/18266
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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