Bridging eHealth and the Internet of Things: The SPHERE Project

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

Abstract

There is a widely-accepted need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to a number of studies in this area. This paper presents an overview of this rapidly growing body of work, as well the implications for machine learning, with a view to uncovering a gap between the state of the art and the broad needs of healthcare services in Ambient Assisted Living (AAL). Most approaches address specific healthcare concerns, which typically results in solutions that are not able to support full-scale sensing and data analysis for a more generic healthcare service. The paper also outlines a multiple-modality sensor platform with heterogeneous network connectivity, which is under development in the Sensor Platform for HEalthcare in Residential Environment (SPHERE) Interdisciplinary Research Collaboration (IRC).

• Journal Article Type: Article
• Acceptance Date: May 5, 2015
• Publication Date: Jul 1, 2015
• Deposit Date: Apr 10, 2018
• Publicly Available Date: Apr 10, 2018
• Journal: IEEE intelligent systems
• Print ISSN: 1541-1672
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 30
• Issue: 4
• Pages: 39-46
• Public URL: https://uwe-repository.worktribe.com/output/832317
• Publisher URL: https://www.ieee.org//
• Additional Information: Additional Information : (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
• Contract Date: Apr 10, 2018