Data acquisition and visual analytic tool-set for paediatric sleep data
Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare(2019)
摘要
Paediatric sleep disorders have been of interest to the medical community for some time now. Recording and analysing the daily sleep and wake behaviour of a child is challenging for the parents of the children with sleep disorders as well as the paediatric medical community. It is on this premise that we present a web-based system that allows automatic sleep monitoring via radio waves, and an accompanying visual analytic tool which enables medical practitioners to analyse and gather insights on a child's data.
Our contributions include setting design primitives for the web-interface and the visual analytic tool-set of SWAPP (Sleep-Wake behaviour Application), which supports the diagnosis and treatment of sleep-related disorders in children of age 6-7. The knowledge and theoretical implications of the work may be used for building home-based tools for clinical data acquisition, display, analysis (for the clinicians) and self-management (for parents/caregivers). Finally, the data visualisation techniques used in our work could apply to similar data analysis tasks, both medical and non-medical.
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关键词
Human Computer interaction, data-analysis, health-informatics, sleep-sensor, visual-analytics
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