title: The potential of Internet of m-health Things "m-IoT" for non-invasive glucose level sensing.
abstract: 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.
authors.affiliation: Mobile Information and Network Technologies Centre, Kingston University, London KT1 2EE, U.K. r.istepanian@kingston.ac.uk
authors.forename: R S H
authors.initials: RS
authors.lastname: Istepanian
authors.forename: S
authors.initials: S
authors.lastname: Hu
authors.forename: N Y
authors.initials: NY
authors.lastname: Philip
authors.forename: A
authors.initials: A
authors.lastname: Sungoor
mesh_terms: D001786:Blood Glucose / Q000032:analysis*; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005240:Feasibility Studies; D006801:Humans; D020407:Internet; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017216:Telemedicine / Q000295:instrumentation*
chemical_list: D001786:Blood Glucose