Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state

Zhang, D. orcid.org/0000-0002-6940-6311, Peng, Z. orcid.org/0000-0001-9301-3158, Sun, S. et al. (6 more authors) (2024) Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state. Acta Paediatrica, 113 (6). pp. 1236-1245. ISSN 0803-5253

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2024 The Authors. Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Keywords: automated classification; cardiorespiratory signal; motion; preterm infant; sleep
Dates:
  • Published: 19 March 2024
  • Published (online): 19 March 2024
  • Accepted: 11 March 2024
  • Submitted: 21 August 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Mar 2024 15:19
Last Modified: 15 Nov 2024 12:28
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/apa.17211
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics