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.

The Internet of Things for Health Care: A Comprehensive Survey

“…This leads to the conceptualization of m-IoT services. The use of m-IoT services has been examined based on the potential of m-IoT for the noninvasive sensing of the glucose level, and the m-IoT architecture, implementation issues, and challenges are addressed in [28]. Context-aware issues and m-IoT ecosystems are two distinct challenges in m-IoT services [19].…”

“…Blood glucose monitoring reveals individual patterns of blood glucose changes and helps in the planning of meals, activities, and medication times. An m-IoT configuration method for noninvasive glucose sensing on a real-time basis is proposed in [28]. In this method, sensors from patients are linked through IPv6 connectivity to relevant healthcare providers.…”

Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare

“…Due to the exponential growth of commercial wearable devices [11][12][13][14][15][16][17][18][19][20] and mobile apps [29][30][31], it has become increasingly possible to remotely monitor a patient or citizen's health by connecting heterogeneous medical devices into an IoT platform [18][19][20]. A promising trend in healthcare fields appears that the IoT enabled technology is transforming traditional hubs of healthcare, such as clinics and hospitals, to personalized healthcare systems and especially mobile environments.…”

A Framework For Integration of A Patients’ Body Area Network With Iot

“…however, the author does not address the choice of protocols in an IoT protocol stack, gateway architecture, modelling and mapping of a problem in an IoT system. In 8 , authors describe an open-loop non-invasive glucose level sensing and monitoring in patients based on IoT. however, in contrast, we describe a closed-loop intelligent system, which has both sensing/monitoring capabilities and control capabilities.…”