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Age estimation for disorder characterization from pediatric polysomnograms

Estimating biological age via deep neural networks (DNNs) processing polysomnograms (PSGs) showed promising results in adults. While age estimation it…

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Bibliographic Details
Main Authors: Festag, Sven (Author) , Herberger, Sebastian (Author) , Spreckelsen, Cord (Author) , Krefting, Dagmar (Author) , Fietze, Ingo (Author) , Penzel, Thomas (Author) , Marschik, Peter B. (Author) , Spicher, Nicolai (Author)
Format: Article (Journal)
Language:English
Published: August 2025
In: Biomedical signal processing and control
Year: 2025, Volume: 106, Pages: 1-8
ISSN:1746-8108
DOI:10.1016/j.bspc.2025.107701
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.bspc.2025.107701
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S1746809425002125
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Author Notes:Sven Festag, Sebastian Herberger, Cord Spreckelsen,Dagmar Krefting, Ingo Fietze, Thomas Penzel, Peter B. Marschik, Nicolai Spicher
Description
Summary:Estimating biological age via deep neural networks (DNNs) processing polysomnograms (PSGs) showed promising results in adults. While age estimation it…
Item Description:Online veröffentlicht am 20. Februar 2025
Gesehen am 18.11.2025
Physical Description:Online Resource
ISSN:1746-8108
DOI:10.1016/j.bspc.2025.107701

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