Prediction Effect of Amplitude-Integrated EEG on the Brain Damage and Long-Term Nervous System Development of Late Preterm Infants.

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  • Additional Information
    • Source:
      Publisher: Hindawi Publishing Country of Publication: England NLM ID: 101528166 Publication Model: eCollection Cited Medium: Internet ISSN: 2040-2309 (Electronic) Linking ISSN: 20402295 NLM ISO Abbreviation: J Healthc Eng Subsets: MEDLINE
    • Publication Information:
      Publication: 2016-2024 : London: Hindawi Publishing
      Original Publication: [Essex] : Multi-Science Pub.
    • Subject Terms:
      Brain Injuries* ; Electroencephalography*; Brain ; Humans ; Infant ; Infant, Newborn ; Infant, Premature
    • Abstract:
      In order to explore the prediction effect of amplitude-integrated EEG on the brain damage and long-term nervous system development of late preterm infants, this paper uses the hospital's late preterm infants as the research object and analyzes the prediction effect of amplitude-integrated EEG on the brain damage and long-term nervous system development of late preterm infants through controlled trials. Among them, the test group used amplitude-integrated EEG for prediction analysis, and the control group used traditional clinical prediction methods. Furthermore, the real-time monitoring and short-term prediction effects of amplitude-integrated EEG on brain damage in late preterm babies and the prediction impact on long-term nervous system development are evaluated in this study. It incorporates statistical techniques to evaluate the findings statistically. In addition, a nonparametric rank-sum test is used in this work, and a chi-square test is used to compare enumeration data across groups. Through experimental research, it can be seen that the amplitude-integrated EEG has a pronounced prediction effect on the brain damage and long-term nervous system development of late preterm infants, and the effect is higher than that of the traditional clinical prediction methods.
      Competing Interests: The authors declare that they have no conflicts of interest.
      (Copyright © 2021 Sehua Qu et al.)
    • Comments:
      Retraction in: J Healthc Eng. 2022 Nov 28;2022:9820596. (PMID: 36478788)
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    • Publication Date:
      Date Created: 20211004 Date Completed: 20211206 Latest Revision: 20221208
    • Publication Date:
      20240628
    • Accession Number:
      PMC8483927
    • Accession Number:
      10.1155/2021/4041082
    • Accession Number:
      34603647