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Using Hierarchical Clustering for Newborn EEG Signal Classification

Result description

This paper addresses automated classification of newborn sleep electroencephalogram (EEG) using hierarchical clustering. Newborn EEG plays an important role in determining the maturity level of neonatal brain. For accurate classification it is necessaryto determine and/or calculate the most informative features. In our approach we use a method based on power spectral density (PSD) applied to each EEG channel. We also use features derived from EOG; EMG; ECG and PNG signals. The goal of the classifiers was to separate different classes of the PSG recording correctly (and minimize the classification error).

Keywords

hierarchical clusteringEEG signalclassification

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Hierarchical Clustering for Newborn EEG Signal Classification

  • Original language description

    This paper addresses automated classification of newborn sleep electroencephalogram (EEG) using hierarchical clustering. Newborn EEG plays an important role in determining the maturity level of neonatal brain. For accurate classification it is necessaryto determine and/or calculate the most informative features. In our approach we use a method based on power spectral density (PSD) applied to each EEG channel. We also use features derived from EOG; EMG; ECG and PNG signals. The goal of the classifiers was to separate different classes of the PSG recording correctly (and minimize the classification error).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

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

    Workshop 09

  • ISBN

    978-80-01-04286-1

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    ČVUT

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Feb 16, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

Basic information

Result type

D - Article in proceedings

D

CEP

JC - Computer hardware and software

Year of implementation

2009