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Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064211%3A_____%2F05%3A00000003" target="_blank" >RIV/00064211:_____/05:00000003 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/05:03141391

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles

  • Original language description

    The new method for automatic sleep stages detection in neonatal EEG was developed. The procedure is based on processing of time profiles computed by adaptive segmentation and subsequent classification of signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep stages

  • Czech name

    Automatická detekce spánkových stavů v novorozeneckém EEG pomocí strukturálních profilů

  • Czech description

    Metoda automatické detekce spánkových stavů v novorozeneckém EEG pomocí strukturálních profilů

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2005

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, China

  • ISBN

    0-7803-8741-4

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    1-3

  • Publisher name

    IEEE

  • Place of publication

    Shanghai

  • Event location

    Sahnghai

  • Event date

    Jan 1, 2005

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article