A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information

A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information

Aleksej Logacjov,1 Eivind Schjelderup Skarpsno,2,3 Atle Kongsvold,2 Kerstin Bach,1 Paul Jarle Mork2 1Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway; 2Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim,...

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Bibliographic Details
Main Authors: Logacjov A, Skarpsno ES, Kongsvold A, Bach K, Mork PJ
Format: Article
Language:English
Published: Dove Medical Press 2024-06-01
Series:Nature and Science of Sleep
Subjects:
actigraphy
epidemiology
sedentary behaviors
sleep quality
supervised machine learning
support vector machines
Online Access:https://www.dovepress.com/a-machine-learning-model-for-predicting-sleep-and-wakefulness-based-on-peer-reviewed-fulltext-article-NSS

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https://www.dovepress.com/a-machine-learning-model-for-predicting-sleep-and-wakefulness-based-on-peer-reviewed-fulltext-article-NSS

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