An EEG-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children-Reference-Cited by-同舟云学术

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An EEG-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children

Published:2023-10-23 Issue: Volume: Page:
ISSN:1550-9389
Container-title:Journal of Clinical Sleep Medicine
language:en
Short-container-title:Journal of Clinical Sleep Medicine

Author:

van Twist Eris¹,Hiemstra Floor W.²³,Cramer Arnout B.G.¹,Verbruggen Sascha C.A.T.¹,Tax David M.J.⁴,Joosten Koen¹,Louter Maartje⁵,Straver Dirk C.G.⁵,de Hoog Matthijs¹,Kuiper Jan Willem¹,de Jonge Rogier C.J.¹

Affiliation:

1. Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC Sophia Children’s Hospital, Rotterdam, The Netherlands

2. Department of Intensive Care, Leiden University Medical Centre, Leiden, The Netherlands

3. Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands

4. Pattern Recognition Laboratory, Delft University of Technology, Delft, The Netherlands

5. Division of Clinical Neurophysiology, Department of Neurology, Erasmus MC, Rotterdam, The Netherlands

Publisher

American Academy of Sleep Medicine (AASM)

Subject

Neurology (clinical),Neurology,Pulmonary and Respiratory Medicine

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