The Internet of m-health Things (m-IoT) offers potential benefits for non-invasive glucose level sensing and diabetes management through intelligent identification and heterogeneous connectivity.
An amalgamated concept of Internet of m-health Things (m-IoT) has been introduced recently and defined as a new concept that matches the functionalities of m-health and IoT for a new and innovative future (4G health) applications. It is well know that diabetes is a major chronic disease problem worldwide with major economic and social impact. To-date there have not been any studies that address the potential of m-IoT for non-invasive glucose level sensing with advanced opto-physiological assessment technique and diabetes management. In this paper we address the potential benefits of using m-IoT in non-invasive glucose level sensing and the potential m-IoT based architecture for diabetes management. We expect to achieve intelligent identification and management in a heterogeneous connectivity environment from the mobile healthcare perspective. Furthermore this technology will enable new communication connectivity routes between mobile patients and care services through innovative IP based networking architectures.
Istepanian et al. (Mon,) conducted a review in Diabetes. Internet of m-health Things (m-IoT) was evaluated. The Internet of m-health Things (m-IoT) offers potential benefits for non-invasive glucose level sensing and diabetes management through intelligent identification and heterogeneous connectivity.