Integrating Biomedical Sensor Data into a Simulation Learning Environment for CHildren Newly Diagnosed with Diabetes
S. Escolar Díaz; M.B. Ibanez; R. Iskandar; K. Viera; C. Delgado Kloos
Journal: Journal of Universal Computer Science
Date: 2017
Pages: 539-559
ISSN: 0948-695X
Volume: 23
Publisher: IICM/J.UCS, Graz University of Technology
Abstract Deploying Wireless Body Area Networks (WBANs) on/in human bodies has become an increasingly active area of research due to WBANs' capability to monitor human physiological signals, which is useful in a wide range of applications. However, there is a lack of e-learning applications taking advantage of the context-medical data coming from WBANs. This study is aimed at exploring the educational usefulness of integrating data captured by wearable biomedical sensors in a simulation learning environment. To this end, a system has been designed with the aim of introducing 8-12 year old children, newly diagnosed with type 1 diabetes mellitus, to the endocrine regulation of glucose metabolism processes. The system is evaluated in order to determine whether it is technically viable, and its suitability is validated for educational purposes. Technical viability is evaluated through a simulation, whereas educational usefulness is examined by a group of 13 health professionals in terms of fidelity, validity, interactivity and learning content. The results from this experience highlight the potential of the integration of biomedical sensor data in a simulation learning environment to foster the motivation of the target population and reflection about the health consequences of the patients' actual behaviors. The evaluators see potentials on this proposal and even recommended the incorporation of more biomedical sensors, and new functionalities to share the physiological state of the patients with healthcare stakeholders.