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Personalized and Intelligent Sleep Lifestyle Reasoner with Web Application for Improving Quality of Sleep Part of AAL Architecture

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Pervasive Computing Paradigms for Mental Health (FABULOUS 2016, MindCare 2016, IIOT 2015)

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Abstract

An average human spends about one third of his life sleeping so quality of sleep is essential for the human being to maintain good physical and emotional health. Sleep disorders may introduce severe physical effects, e.g. cognitive impairments and mental health complications. So being able to measure and evaluate sleep behavior is important for health practitioners and the users themselves. In this paper, we present the implementation of the Sleep Lifestyle Reasoner part of AAL platform which allows detection of minor or major deviations in the sleeping patterns in MCI and COPD patients indicating changes in their health status. The output of the reasoner is fed to the My Sleep Web Application that provides recommendations to improve sleep hygiene and coaches the users into a healthy sleeping behavior, based on their personal rhythms and problems. It also supports the informal caregiver by providing insights on the sleeping behavior of the patient.

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Acknowledgments

This work was supported in part by the Grant Agreement No: 610658, “eWALL for Active Long Living” of the EU Seventh Framework Programme. The authors wish to thank the invaluable help received from all the consortium members.

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Authors and Affiliations

  1. Faculty of Telecommunications, Technical University of Sofia, 8 Kliment Ohridski blvd., 1000, Sofia, Bulgaria

    Krasimir Tonchev, Georgi Tsenov, Valeri Mladenov, Agata Manolova & Vladimir Poulkov

Authors
  1. Krasimir Tonchev
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  2. Georgi Tsenov
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  3. Valeri Mladenov
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  4. Agata Manolova
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  5. Vladimir Poulkov
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Corresponding author

Correspondence to Agata Manolova .

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Editors and Affiliations

  1. Vodafone Research, Barcelona, Spain

    Nuria Oliver

  2. Catholic University of Milan, Milan, Italy

    Silvia Serino

  3. Telefónica, Barcelona, Spain

    Aleksandar Matic

  4. 3 Piano-Endocrinologia, Istituto Auxologico Italiano, Milan, Italy

    Pietro Cipresso

  5. University of Kragujevac, Kragujevac, Serbia

    Nenad Filipovic

  6. Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia

    Liljana Gavrilovska

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tonchev, K., Tsenov, G., Mladenov, V., Manolova, A., Poulkov, V. (2018). Personalized and Intelligent Sleep Lifestyle Reasoner with Web Application for Improving Quality of Sleep Part of AAL Architecture. In: Oliver, N., Serino, S., Matic, A., Cipresso, P., Filipovic, N., Gavrilovska, L. (eds) Pervasive Computing Paradigms for Mental Health. FABULOUS MindCare IIOT 2016 2016 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-319-74935-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-74935-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74934-1

  • Online ISBN: 978-3-319-74935-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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