A Home-Based IoT-Enabled Framework for Sleep Behaviour Assessment

Sarah Fallmann, Liming Chen, Feng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sleep has an impact on a person's life including their health and wellbeing, thus assessing sleep behaviour is of high importance to gain insight into people's general health status. In general, current sleep behaviour assessment is restricted to a controlled scenario within a hospital environment limited by the time of monitoring and to specific factors. As healthcare is shifting from reactive to preventive and predictive care with the support of digital health and IoT technology, there is a growing demand to make sleep assessment possible at home. In this paper, we propose a sleep behaviour assessment framework considering different facets of sleep such as sleep quality, regularity, circadian rhythm, environmental conditions and sleep hygiene. Hence, we describe methodologies and techniques which can help realise home-based sleep assessment. A salient feature of the framework is that it takes into account personal preferences and influential factors as well as doctor's recommendations and clinical history, thus, allowing personalised medical and behavioural assessment. In addition, the proposed framework supports a modular service-oriented design adaptable to both doctor and user needs and availability of underpinning technologies.
Original languageEnglish
Title of host publication2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
Place of PublicationFukuoka, Japan
PublisherIEEE Xplore
Pages7-15
Number of pages8
ISBN (Electronic)978-1-7281-3024-8
ISBN (Print)978-1-7281-3025-5
DOIs
Publication statusPublished - 4 Nov 2019
Event2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) - Fukuoka, Japan
Duration: 5 Aug 20198 Aug 2019

Conference

Conference2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
Period5/08/198/08/19

Keywords

  • Circadian rhytim
  • sleep apnea
  • monitoring
  • biomedical monitoring
  • accelerometers

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  • Cite this

    Fallmann, S., Chen, L., & Chen, F. (2019). A Home-Based IoT-Enabled Framework for Sleep Behaviour Assessment. In 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 7-15). IEEE Xplore. https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00018