Time Frequency Analysis for Automated Sleep Stage Identification in Fullterm and Preterm Neonates.

Bibliographic Details
Published in:Journal of Medical Systems Vol. 35; no. 4; pp. 693 - 703
Main Authors: Fraiwan, Luay, Lweesy, Khaldon, Khasawneh, Natheer, Fraiwan, Mohammad, Wenz, Heinrich, Dickhaus, Hartmut
Format: equations & formulas pictorial research tables/charts tracings Journal Article
Published: Springer Nature Aug2011
Online Access:View this record in EBSCOhost
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      dt: Aug2011
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      pub: Springer Nature
      place: New York, New York
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        atl: Time Frequency Analysis for Automated Sleep Stage Identification in Fullterm and Preterm Neonates.
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          Fraiwan, Luay
          Lweesy, Khaldon
          Khasawneh, Natheer
          Fraiwan, Mohammad
          Wenz, Heinrich
          Dickhaus, Hartmut
        affil: Biomedical Engineering Department, Jordan University of Science & Technology, Irbid Jordan
      sug:
        subj:
          Time Factors
          Sleep Stages
          Infant, Newborn
          Automation
          Human
          Electroencephalography
          Neural Networks (Computer)
          kappa Statistic
          Sudden Infant Death
          Descriptive Statistics
          Data Analysis Software
          Videorecording
          Sensitivity and Specificity
          Funding Source
          Infant, Premature
          Term Birth
          Infant, Newborn: birth-1 month
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        tracings
        Journal Article
      ougenre: Article
      ab:
    language: English
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