Logic-centred architecture for ubiquitous health monitoring

Jacek Lewandowski, Hisbel Arochena, Raouf Naguib, Kuo-Ming Chao, Alexeis Garcia-Perez

    Research output: Contribution to journalArticle

    10 Citations (Scopus)
    33 Downloads (Pure)

    Abstract

    One of the key points to maintain and boost research and development in the area of smart wearable systems (SWS) is the development of integrated architectures for intelligent services, as well as wearable systems and devices for health and wellness management. This paper presents such a generic architecture for multiparametric, intelligent and ubiquitous wireless sensing platforms. It is a transparent, smartphone-based sensing framework with customizable wireless interfaces and plug`n'play capability to easily interconnect third party sensor devices. It caters to wireless body, personal, and near-me area networks. A pivotal part of the platform is the integrated inference engine/runtime environment that allows the mobile device to serve as a user-adaptable personal health assistant. The novelty of this system lays in a rapid visual development and remote deployment model. The complementary visual Inference Engine Editor that comes with the package enables artificial intelligence specialists, alongside with medical experts, to build data processing models by assembling different components and instantly deploying them (remotely) on patient mobile devices. In this paper, the new logic-centered software architecture for ubiquitous health monitoring applications is described, followed by a discussion as to how it helps to shift focus from software and hardware development, to medical and health process-centered design of new SWS applications.
    Original languageEnglish
    Pages (from-to)1525-1532
    JournalIEEE Journal of Biomedical and Health Informatics
    Volume18
    Issue number5
    Early online dateMar 2014
    DOIs
    Publication statusPublished - Sep 2014

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    Keywords

    • Artificial intelligence (AI)
    • body sensor networks
    • remote monitoring
    • telemedicine
    • ubiquitous computing

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