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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| scopusresults 1920 .pdf Restricted Access | 209.4 kB | Adobe PDF | View/Open | |
| WoS 1363 .pdf Restricted Access | 83.37 kB | Adobe PDF | View/Open |
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