A Sensing Platform to Monitor Sleep Efficiency

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
394 Downloads (Pure)

Abstract

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.

Original languageEnglish
Title of host publicationAmbient Assisted Living - Italian Forum 2020
EditorsAlice Bettelli, Andrea Monteriù, Luciano Gamberini
PublisherSpringer Science and Business Media Deutschland GmbH
Pages335-345
Number of pages11
ISBN (Print)9783031088377
DOIs
Publication statusPublished - 2022
Event11th Italian Forum on Ambient Assisted Living, ForItAAL 2020 - Virtual, Online
Duration: 1-Dec-20201-Dec-2020

Publication series

NameLecture Notes in Electrical Engineering
Volume884 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th Italian Forum on Ambient Assisted Living, ForItAAL 2020
CityVirtual, Online
Period01/12/202001/12/2020

Keywords

  • Sleep monitoring
  • Sleep quality
  • Unobtrusive systems

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