• DocumentCode
    11168
  • Title

    Bridging e-Health and the Internet of Things: The SPHERE Project

  • Author

    Ni Zhu ; Diethe, Tom ; Camplani, Massimo ; Lili Tao ; Burrows, Alison ; Twomey, Niall ; Kaleshi, Dritan ; Mirmehdi, Majid ; Flach, Peter ; Craddock, Ian

  • Author_Institution
    Univ. of Bristol, Bristol, UK
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    39
  • Lastpage
    46
  • Abstract
    There´s a widely known need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to several studies. This article presents an overview of this rapidly growing body of work, as well as the implications for machine learning, with an aim of uncovering the gap between the state of the art and the broad needs of healthcare services in ambient assisted living. Most approaches address specific healthcare concerns, which typically result in solutions that aren´t able to support full-scale sensing and data analysis for a more generic healthcare service, but the approach in this article differs from seamlessly linking multimodel data-collecting infrastructure and data analytics together in an AAL platform. This article also outlines a multimodality sensor platform with heterogeneous network connectivity, which is under development in the sensor platform for healthcare in a residential environment (SPHERE) Interdisciplinary Research Collaboration (IRC).
  • Keywords
    Internet of Things; assisted living; data analysis; learning (artificial intelligence); AAL platform; IRC; Interdisciplinary Research Collaboration; Internet of Things; SPHERE project; ambient assisted living; e-health; healthcare services; heterogeneous network connectivity; machine learning; multimodality sensor platform; sensor platform for healthcare in a residential environment; Ambient networks; Assisted living; Biomedical monitoring; Internet of things; Logic gates; Medical services; Sensors; Smart homes; Internet of Things; ambient assisted living; e-health; intelligent systems;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2015.57
  • Filename
    7156004