Research Output

IoT for a shock warning system.

  This technical paper details the interdependencies between Internet of Things (IoT) and latest Future Internet (FI) technology, demonstrated by using the example of a smart connected health (SCH) use case, for the monitoring and prevention of shock in hospitalized patients. Septic shock is a life threatening condition, which requires immediate attention by the doctor in charge. It is associated with a relatively high mortality of 30-50% whereby early detection of the condition is crucial for the outcome. FI-WARE Generic Enablers (GEs) are used for rapidly developing a shock warning system. The system is designed around sensors, providing data inputs, of patient heart rate and blood pressure. Input metrics are required for subsequently computing an appropriate output, defining a shock index measurement and triggered is an alert, such as a text message, to a doctor’s mobile phone or a pager to raise awareness of the fact that a patient is deteriorating and about to slip into shock. The focus of this paper approaches a discussion surrounding research of GEs and their operation in wellness and ambient assisted living domains. Within health care contexts, a Medical Modular Architecture (MMA) approach might be needed to complement the GE concept because of associated legal and ethical requirements. Our work presents an IoT methodology for SCH and is useful for detecting patients at risk of slipping into shock earlier, thus increasing their chances of survival. In this context we will examine an Orion Context Broker (OCB) GE and its interoperability as an IoT interface with backend server components. Shown by our approach is a method for creating a shock warning system based on e-Health informatics. It is presented as a framework defined from a set of future internet (FI) middleware paradigms consisting of the 3-tier architecture, software to data, privacy and security.

  • Type:

    Article

  • Date:

    31 December 2014

  • Publication Status:

    Accepted

  • Publisher

    IEEE

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    005.4 Systems programming and programs

  • Funders:

    Edinburgh Napier Funded

Citation

Brogan, J., Thuemmler, C., Mival, O., & Fricker, S. (2014). IoT for a shock warning system. IEEE Internet of Things,

Authors

Keywords

Internet of things; warning systems;

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