Back to articles
Articles
Volume: 31 | Article ID: art00008
Image
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.

Subject Areas :
Views 34
Downloads 1
 articleview.views 34
 articleview.downloads 1
  Cite this article 

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

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA