Wireless Mobile Communication and Healthcare. Third International Conference, MobiHealth 2012, Paris, France, November 21-23, 2012, Revised Selected Papers

Research Article

Remote Programming of Biomedical Smart Sensors

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  • @INPROCEEDINGS{10.1007/978-3-642-37893-5_23,
        author={David Naranjo and Laura Roa and Javier Reina-Tosina and Miguel Estudillo-Valderrama},
        title={Remote Programming of Biomedical Smart Sensors},
        proceedings={Wireless Mobile Communication and Healthcare. Third International Conference, MobiHealth 2012, Paris, France, November 21-23, 2012, Revised Selected Papers},
        proceedings_a={MOBIHEALTH},
        year={2013},
        month={4},
        keywords={Biomedical smart sensor Body Sensor Network code dissemination remote programming structural modularity},
        doi={10.1007/978-3-642-37893-5_23}
    }
    
  • David Naranjo
    Laura Roa
    Javier Reina-Tosina
    Miguel Estudillo-Valderrama
    Year: 2013
    Remote Programming of Biomedical Smart Sensors
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-642-37893-5_23
David Naranjo, Laura Roa, Javier Reina-Tosina,*, Miguel Estudillo-Valderrama
    *Contact email: jreina@us.es

    Abstract

    This paper proposes a processing architecture and a programming framework for the remote and seamless update of the algorithms used in the context of biomedical smart sensors. The generic processing architecture provides, among others, the following facilities to a Body Sensor Network in a seamless way to the user beyond functional modularity: 1) direct and immediate update with new and improved versions of the algorithms, 2) personalization of algorithms, 3) adaptability to the user context, 4) remote test of algorithms, 5) hardware reusability and sustainability, 6) parallel execution of several monitoring applications in one device, 7) structural modularity. Due to its simplicity, the proposed technique takes advantage over other solutions employed in applications that impose severe limitations on hardware/software resources of the devices, which may result in lower cost and size of them. The results obtained on two heart monitoring applications shows the viability of the proposed scheme.