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SleepSight: A wearables-based relapse prevention system for Schizophrenia

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

Original languageEnglish
Title of host publicationUbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages113-116
Number of pages4
ISBN (Print)9781450344623
DOIs
StatePublished - 12 Sep 2016
Event2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany

Conference

Conference2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
CountryGermany
CityHeidelberg
Period12/09/201616/09/2016

Documents

  • SleepSight A Wearables_KERZ_Published12September2016_GREEN AAM

    SleepSight_A_Wearables_KERZ_Published12September2016_GREEN_AAM.pdf, 401 KB, application/pdf

    24/03/2017

    Accepted author manuscript

    Permission to make digital or hard copies of part or all of this
    work for personal or classroom use is granted without fee
    provided that copies are not made or distributed for profit or
    commercial advantage and that copies bear this notice and the
    full citation on the first page. Copyrights for third-party
    components of this work must be honored. For all other uses,
    contact the Owner/Author.
    Copyright is held by the owner/author(s).
    UbiComp/ISWC '16 Adjunct, September 12-16, 2016, Heidelberg,
    Germany
    ACM 978-1-4503-4462-3/16/09.
    http://dx.doi.org/10.1145/2968219.2971419

King's Authors

Abstract

SleepSight is a novel approach to detecting early signs of relapse in psychosis, thereby allowing targeted intervention for relapse prevention. The system uses a wireless-enabled wearable device and smartphone to collect longitudinal accelerometry, heart-rate, ambient light and smartphone usage patterns from patients living in their homes. These data are encrypted and sent via the mobile data network to a secure server for real-Time analysis, using the Purple Robot mobile application. This study tested feasibility and acceptability of the SleepSight system in 15 participants with a diagnosis of schizophrenia. Patient recruitment and data collection was completed in January 2016, at the South London and Maudsley NHS Foundation Trust (SLaM), the largest mental health service provider in the EU. The project is a unique multidisciplinary collaboration between the NIHR Biomedical Research Centre for Mental Health, the Institute of Psychiatry, Psychology and Neuroscience, and the National Health Service.

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