MetaSyCar: A System for Metabolic Syndrome Control and Caring

Mohammad Moradi, Morteza Moradi, Amjad Anvari-Moghaddam

Abstract: Nowadays, metabolic diseases are of most common health challenges of individuals in different communities that impose significant costs on governments and healthcare systems. In this regard, continuous monitoring of patients and their relatives, collecting real world data and preventive education are important issues that impose high costs and implementation-related problems. Within the recent years, the advent of new technological advancements, including feature-rich smartphones, location-based technologies, Internet of Things and wearables as well as new computing concepts, e.g. crowd computing, put forward new opportunities. However, a remarkable number of efforts still rely on traditional, and relatively less-efficient, approaches. In order to fill this gap in the context of metabolic disease research and performing the aforementioned tasks in the form of an integrated system, in this paper a system for Metabolic Syndrome Control and caring (MetaSyCar) is introduced. The major benefit of the proposed system is to provide a comprehensive and multifaceted monitoring framework in order to track the patients' behaviors, conditions and health indices. Moreover, the system interactivity facilitates the experts' interventions and supervisory considerations. In the paper, the underlying foundations, conceptual architecture and workflow of the MetaSyCar are explained.