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SleepSight: A wearables-based relapse prevention system for Schizophrenia

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SleepSight : A wearables-based relapse prevention system for Schizophrenia. / Kerz, Maximilian; Folarin, Amos; Meyer, Nicholas; Begale, Mark; MacCabe, James; Dobson, Richard J.

UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2016. p. 113-116.

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

Harvard

Kerz, M, Folarin, A, Meyer, N, Begale, M, MacCabe, J & Dobson, RJ 2016, SleepSight: A wearables-based relapse prevention system for Schizophrenia. in UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, pp. 113-116, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12/09/2016. https://doi.org/10.1145/2968219.2971419

APA

Kerz, M., Folarin, A., Meyer, N., Begale, M., MacCabe, J., & Dobson, R. J. (2016). SleepSight: A wearables-based relapse prevention system for Schizophrenia. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 113-116). Association for Computing Machinery, Inc. https://doi.org/10.1145/2968219.2971419

Vancouver

Kerz M, Folarin A, Meyer N, Begale M, MacCabe J, Dobson RJ. SleepSight: A wearables-based relapse prevention system for Schizophrenia. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2016. p. 113-116 https://doi.org/10.1145/2968219.2971419

Author

Kerz, Maximilian ; Folarin, Amos ; Meyer, Nicholas ; Begale, Mark ; MacCabe, James ; Dobson, Richard J. / SleepSight : A wearables-based relapse prevention system for Schizophrenia. UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2016. pp. 113-116

Bibtex Download

@inbook{10d737e068b24e29830a31bfb7ac31ab,
title = "SleepSight: A wearables-based relapse prevention system for Schizophrenia",
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.",
keywords = "Mental Disorder, Mobile Sensing, Probabilistic Time Series Modelling, Remote Monitoring, Sensor Networks, Wearable Computing",
author = "Maximilian Kerz and Amos Folarin and Nicholas Meyer and Mark Begale and James MacCabe and Dobson, {Richard J.}",
year = "2016",
month = "9",
day = "12",
doi = "10.1145/2968219.2971419",
language = "English",
isbn = "9781450344623",
pages = "113--116",
booktitle = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
publisher = "Association for Computing Machinery, Inc",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - SleepSight

T2 - A wearables-based relapse prevention system for Schizophrenia

AU - Kerz, Maximilian

AU - Folarin, Amos

AU - Meyer, Nicholas

AU - Begale, Mark

AU - MacCabe, James

AU - Dobson, Richard J.

PY - 2016/9/12

Y1 - 2016/9/12

N2 - 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.

AB - 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.

KW - Mental Disorder

KW - Mobile Sensing

KW - Probabilistic Time Series Modelling

KW - Remote Monitoring

KW - Sensor Networks

KW - Wearable Computing

UR - http://www.scopus.com/inward/record.url?scp=84991096071&partnerID=8YFLogxK

U2 - 10.1145/2968219.2971419

DO - 10.1145/2968219.2971419

M3 - Conference paper

AN - SCOPUS:84991096071

SN - 9781450344623

SP - 113

EP - 116

BT - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

PB - Association for Computing Machinery, Inc

ER -

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