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A Sensing Platform to Monitor Sleep Efficiency

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Ambient Assisted Living (ForItAAL 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 884))

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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.

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Author information

Authors and Affiliations

  1. Information Science and Technologies Institute (ISTI CNR), 1 Via G. Moruzzi, 56124, Pisa, Italy

    Antonino Crivello, Davide La Rosa & Filippo Palumbo

  2. Department of Health Sciences and Technology, Istitute of Robotics and Intelligent Systems, Sensory Motor Systems Lab, ETH Zurich, 8092, Zurich, Switzerland

    Elisabeth Wilhelm

  3. Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands

    Elisabeth Wilhelm

Authors
  1. Antonino Crivello
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  2. Davide La Rosa
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  3. Elisabeth Wilhelm
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  4. Filippo Palumbo
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Corresponding author

Correspondence to Davide La Rosa .

Editor information

Editors and Affiliations

  1. DPG, Università di Padova, Padua, Italy

    Alice Bettelli

  2. DII, Università Politecnica delle Marche, Ancona, Italy

    Andrea Monteriù

  3. HIT, DPG, Università di Padova, Padua, Italy

    Luciano Gamberini

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Crivello, A., La Rosa, D., Wilhelm, E., Palumbo, F. (2022). A Sensing Platform to Monitor Sleep Efficiency. In: Bettelli, A., Monteriù, A., Gamberini, L. (eds) Ambient Assisted Living. ForItAAL 2020. Lecture Notes in Electrical Engineering, vol 884. Springer, Cham. https://doi.org/10.1007/978-3-031-08838-4_23

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