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Remotely Supporting Patients with Obstructive Sleep Apnea at Home

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Internet of Things Technologies for HealthCare (HealthyIoT 2016)

Abstract

People suffering Obstructive Sleep Apnea are normally treated by using a device that provides continuous positive airway pressure. Currently solutions do not rely on any remote assistance and data gathered from that device are accessible to clinicians only when the patient goes to the annual visit. In this paper, we propose an IoT-based system that sends data to the cloud where are analyzed to support patients with Obstructive Sleep Apnea giving also a suitable feedback to lung specialists. The work is part of the Spanish project myOSA. Clinical trials with patients from the Hospital Arnau i Vilanova in Lleida (Spain) started on July 2016 and will last 6 months.

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Notes

  1. 1.

    The corresponding decision support system is out of the scope of this chapter.

  2. 2.

    http://www.resmed.com/us/en/consumer/products/devices/airsense-10-cpap.html.

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Acknowledgments

The study was partly funded by the Spanish Ministry of Economy and Competitiveness in the framework of the call “Collaboration Challenges” in the State Program for Research, Development and Innovation Oriented to Societal Challenges (Project myOSA, RTC-2014-3138-1) and the CONNECARE project (grant agreement no. 689802 - H2020-EU.3.1).

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Correspondence to Xavier Rafael-Palou .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Rafael-Palou, X., Steblin, A., Vargiu, E. (2016). Remotely Supporting Patients with Obstructive Sleep Apnea at Home. In: Ahmed, M., Begum, S., Raad, W. (eds) Internet of Things Technologies for HealthCare. HealthyIoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-51234-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-51234-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51233-4

  • Online ISBN: 978-3-319-51234-1

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