Bridging eHealth and the Internet of Things: The SPHERE Project

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

Research output: Contribution to journalArticle (Academic Journal)peer-review

199 Citations (Scopus)
1183 Downloads (Pure)


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).
Original languageEnglish
Pages (from-to)39-46
Number of pages8
JournalIEEE Intelligent Systems
Issue number4
Early online date14 Jul 2015
Publication statusPublished - Aug 2015

Structured keywords

  • Jean Golding
  • Digital Health


  • ambient assisted living
  • e-health
  • intelligent systems
  • Internet of Things


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