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
Link To Document