2011 · 223 citations · 4 references
Sensor NetworksIot Data AnalyticsEngineeringNon-invasive Glucose LevelAmalgamated ConceptIot CommunicationDigital HealthWearable TechnologyBusinessHealth MonitoringInternet Of ThingsInternet Of Medical ThingsMobile ComputingM-health ThingsTechnologyIot SystemHealth InformaticsNetworking Architectures
The Internet of m‑health Things (m‑IoT) merges m‑health and IoT functionalities for future 4G health applications, while diabetes remains a major chronic disease worldwide with significant economic and social impact. This study explores the potential of m‑IoT for non‑invasive glucose sensing and diabetes management, proposing an architecture that enables intelligent identification, management, and novel communication routes between patients and care services in heterogeneous connectivity environments.
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.
4
Krishna K. Venkatasubramanian, Sandeep K. S. Gupta, Raoul Jetley et al. · IEEE Pulse · 2010 · 28 citations