A Sensing Platform to Monitor Sleep Efficiency

Antonino Crivello, Davide La Rosa*, Elisabeth Wilhelm, Filippo Palumbo

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

1 Citaat (Scopus)
174 Downloads (Pure)


Sleep plays a fundamental role in the human life. Sleep research is mainly focused on the understanding of the sleep patterns, stages and duration. An accurate sleep monitoring can detect early signs of sleep deprivation and insomnia consequentially implementing mechanisms for preventing and overcoming these problems. Recently, sleep monitoring has been achieved using wearable technologies, able to analyse also the body movements, but old people can encounter some difficulties in using and maintaining these devices. In this paper, we propose an unobtrusive sensing platform able to analyze body movements, infer sleep duration and awakenings occurred along the night, and evaluating the sleep efficiency index. To prove the feasibility of the suggested method we did a pilot trial in which several healthy users have been involved. The sensors were installed within the bed and, on each day, each user was administered with the Groningen Sleep Quality Scale questionnaire to evaluate the user’s perceived sleep quality. Finally, we show potential correlation between a perceived evaluation with an objective index as the sleep efficiency.

Originele taal-2English
TitelAmbient Assisted Living - Italian Forum 2020
RedacteurenAlice Bettelli, Andrea Monteriù, Luciano Gamberini
UitgeverijSpringer Science and Business Media Deutschland GmbH
Aantal pagina's11
ISBN van geprinte versie9783031088377
StatusPublished - 2022
Evenement11th Italian Forum on Ambient Assisted Living, ForItAAL 2020 - Virtual, Online
Duur: 1-dec.-20201-dec.-2020

Publicatie series

NaamLecture Notes in Electrical Engineering
Volume884 LNEE
ISSN van geprinte versie1876-1100
ISSN van elektronische versie1876-1119


Conference11th Italian Forum on Ambient Assisted Living, ForItAAL 2020
StadVirtual, Online

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