Nature and Science of Sleep
Volume 16, 2024 - Issue
ORIGINAL RESEARCH
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information
Aleksej Logacjov1 Department of Computer Science, Norwegian University of Science and Technology, Trondheim, NorwayCorrespondence[email protected]
https://orcid.org/0000-0002-8834-1744
https://orcid.org/0000-0002-8834-1744, Eivind Schjelderup Skarpsno2 Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;3 Department of Neurology and Clinical Neurophysiology, St. Olavs Hospital, Trondheim, Norwayhttps://orcid.org/0000-0002-4135-0408
https://orcid.org/0000-0002-4135-0408, , Kerstin Bach1 Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norwayhttps://orcid.org/0000-0002-4256-7676
https://orcid.org/0000-0002-4256-7676 & Paul Jarle Mork2 Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norwayhttps://orcid.org/0000-0003-3355-2680
https://orcid.org/0000-0003-3355-2680