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Wards Clustering Method for Distinction Between Neonatal Sleep Stages

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158660" target="_blank" >RIV/68407700:21230/09:00158660 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21460/09:00158660

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wards Clustering Method for Distinction Between Neonatal Sleep Stages

  • Original language description

    A robust, automated classification system for polysomnographic (PSG) data targeted to the newborn sleep stage identification is presented. The problem of polysomnographic signal classification is very often difficult because of artifacts and noise. Furthermore, for each signal, a special classification method for each particular type of segment must be mostly used. This paper proposes fully unsupervised approach using adaptive segmentation, appropriate features extraction and hierarchical clustering (Ward's minimumvariance method is used). The mutual information concept was applied to results of hierarchical clustering. The proposed procedure was tested on real neonatal data. All sleep states were successfully separated by a combination of EEG, EMG, EOG, PNG and ECG channels.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET101210512" target="_blank" >1ET101210512: Intelligent methods for evaluation of long-term EEG recordings</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

  • ISBN

    978-3-642-03897-6

  • ISSN

    1680-0737

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Springer Science+Business Media

  • Place of publication

    Berlin

  • Event location

    Mnichov

  • Event date

    Sep 7, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article