Data acquisition and visual analytic tool-set for paediatric sleep data

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.