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Sleep Quality Monitoring with the Smart Bed

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Pervasive Health

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Long-term sleep monitoring of patients is interesting for the diagnosis of sleep disorders and for the continuous monitoring of the health state. However, traditional polysomnography is not suited for long-term monitoring due to various reasons and new intelligent solutions are required for the continuous and unobtrusive monitoring of sleep parameters. In this chapter we present the Mobility Monitor, a portable sleep monitoring system which has been developed specifically for elderly care facilities. The system informs the nursing staff about the patient’s movement patterns during the night. This information can be used for the assessment of the risk of pressure ulcer, to monitor bed exits or to observe the influence of medication on sleep behavior. With application examples of a nursing home and the results of a recent observational study, we will demonstrate the use of the mobility analysis and show how the additional insights can improve the care quality.

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Notes

  1. 1.

    http://www.emfit.com

  2. 2.

    http://www.bamlabs.com

  3. 3.

    http://www.earlysense.com

  4. 4.

    http://www.earlysense.com/clinical-evidence/white-papers/

  5. 5.

    http://www.beddit.com

  6. 6.

    http://www.indiegogo.com/projects/beddit-automatic-sleep-and-wellness-tracker-turn-your-bed-into-a-smart-bed

  7. 7.

    http://compliant-concept.ch/en/

  8. 8.

    http://www.fitbit.com/

  9. 9.

    https://jawbone.com/up

  10. 10.

    https://sites.google.com/site/sleepasandroid/

  11. 11.

    http://www.sleepcycle.com/

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Further Readings

  1. Kelly, J., Strecker, R., & Bianchi, M. (2012). Recent developments in home sleep-monitoring devices. ISRN Neurology. 768794, 10 (This paper provides a review of portable monitoring devices which are developed for sleep quality and quantity estimation in the home environment).

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  2. Kryger, M., Roth, T., & Dement, W. (2011). Principles and practive of sleep medicine (5th ed.). Elsevier, ISBN:978-1-4160-6645-3. (This book gives an excellent overview on many different aspects of sleep medicine).

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Author information

Authors and Affiliations

  1. Electronics Laboratory, ETH Zürich, Zürich, Switzerland

    Daniel Waltisberg & Gerhard Tröster

  2. Department of Computer Engineering, Bogazici University, Istanbul, Turkey

    Bert Arnrich

Authors
  1. Daniel Waltisberg
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  2. Bert Arnrich
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  3. Gerhard Tröster
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Corresponding author

Correspondence to Daniel Waltisberg .

Editor information

Editors and Affiliations

  1. Head Research Unit Human-Computer Interaction for Medicine and Health, IBM Watson Think Group, Institute for Medical Informatics, Medical University Graz, Graz, Austria

    Andreas Holzinger

  2. Lehrstuhl für Communication Science, Geschäftsführende Direktorin, Human–Computer Interaction Center, Institut für Sprach- und Kommunikationswissenschaft, RWTH Aachen University, Aachen, Germany

    Martina Ziefle

  3. RWTH Aachen University Human–Computer Interaction Center, Aachen, Germany

    Carsten Röcker

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© 2014 Springer-Verlag London

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Waltisberg, D., Arnrich, B., Tröster, G. (2014). Sleep Quality Monitoring with the Smart Bed. In: Holzinger, A., Ziefle, M., Röcker, C. (eds) Pervasive Health. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-6413-5_9

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  • DOI: https://doi.org/10.1007/978-1-4471-6413-5_9

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