Low-Cost Body Area Network for Monitoring of Diabetic Patient

Abstract

The confluence of wireless body area network (WBAN) advancement has led to a great shift in the healthcare sector and has enormous potential to reduce long-term costs, social problems, workforce issues, and improve quality of healthcare service. Based on existing literature on WBANs, technologies, and standards, a WBAN is proposed to bridge the gap of information between patients and healthcare professional through sharing of high quality of information (QoI) whereby the latter can have real-time and historical view of patient's condition for effective and timely monitoring. This feature will also address the time and space restriction of healthcare service. Moreover, a best fit glucose prediction model considering various exogenous inputs based on autoregressive (ARX) model is proposed to perform data analytics in a WBAN system. The performance of the model is evaluated through performance metrics. Potential challenges and future research work are pointed out for further development of WBAN.