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Volume: 31 | Article ID: art00008
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Correlation Visualisation for sleep data analytics in SWAPP (Sleep Wake Application)
  DOI :  10.2352/ISSN.2470-1173.2019.1.VDA-682  Published OnlineJanuary 2019
Abstract

Sleep plays an important role in the overall health and wellbeing of a child. The relationship between sleep and daytime behaviours of children with neurodevelopmental disorders is understood poorly; different aspects of a child’s routine may interact with each other to contribute to sleep disorders. In order to diagnose, monitor and successfully treat many medical conditions pertaining to sleep, it becomes imperative to analyse the many aspects of a child’s daytime and sleep behaviours. In this paper, we propose a visual analytic tool for studying the interaction of different variables collected for a child with neurodevelopmental disorders. We propose a visual analytic tool which allows clinicians to explore how the different aspects of a child’s behaviour and activities affect their sleep. This tool is developed as an extension of an existing tool SWAPP, which allows caregivers and clinicians to log and monitor the child’s everyday data.

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Amal Vincent, Ankit Gupta, Chris Shaw, Ruoyu Li, "Correlation Visualisation for sleep data analytics in SWAPP (Sleep Wake Application)in Proc. IS&T Int’l. Symp. on Electronic Imaging: Visualization and Data Analysis,  2019,  pp 682-1 - 682-10,  https://doi.org/10.2352/ISSN.2470-1173.2019.1.VDA-682

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