3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

On the design of distributed autonomous embedded systems for biomedical applications

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.5966,
        author={Jose Germano and Rui Ramalho and Leonel Sousa},
        title={On the design of distributed autonomous embedded systems for biomedical applications},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={Application software Biomedical computing Computer architecture Computer networks Cryptography Data security Databases Embedded system Network servers Personal digital assistants},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.5966}
    }
    
  • Jose Germano
    Rui Ramalho
    Leonel Sousa
    Year: 2009
    On the design of distributed autonomous embedded systems for biomedical applications
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5966
Jose Germano1,*, Rui Ramalho1, Leonel Sousa1
  • 1: INESC-ID / IST, TU Lisbon, R. Alves Redol 9, 1000-029, Lisboa, Portugal
*Contact email: jahg@inesc-id.pt

Abstract

Embedded systems assume an increasing importance in several biomedical applications. These applications present dissimilar requirements and characteristics, posing problems at the computing and communication levels. This paper proposes a general network based platform that follows a distributed approach based on a client/server architecture, in order to integrate embedded systems for biomedical applications. This platform makes use of autonomous communication modules, and relies on personal digital assistants to act as Masters, and to interconnect the embedded systems to computer networks. Information is sent to a main server that maintains and provides access to a database. Data security is assured in all systems by using cryptographic algorithms and protocols. Two embedded systems have been developed based on this platform, a simple system for movement monitoring, and another for biomolecular recognition detection. Furthermore, we show that the optimization of the communication module lead to an increase of 70% of the platform's autonomy for the movement monitoring system.