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

Aleksej Logacjov Eivind Schjelderup SkarpsnoAtle KongsvoldKerstin Bach Paul Jarle Mork

Published in: Nature and science of sleep (2024)

An ML model can predict sleep/wake periods with excellent sensitivity and moderate specificity based on a dual-accelerometer set-up when adding skin temperature data and contextual information to the model.

Keyphrases

machine learning
physical activity
big data
sleep quality
artificial intelligence
wound healing
high intensity
social media