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 :
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