From Wearable Sensors to Smart Implants – Towards Pervasive and Personalised Healthcare
File(s)Manuscript_preprint.pdf (7.82 MB)
Accepted version
Author(s)
Andreu Perez, J
Leff, D
Ip, H
Yang, GZ
Type
Journal Article
Abstract
OBJECTIVE: This article discusses the evolution of pervasive healthcare from its inception for activity recognition using wearable sensors to the future of sensing implant deployment and data processing. METHODS: We provide an overview of some of the past milestones and recent developments, categorised into different generations of pervasive sensing applications for health monitoring. This is followed by a review on recent technological advances that have allowed unobtrusive continuous sensing combined with diverse technologies to reshape the clinical workflow for both acute and chronic disease management. We discuss the opportunities of pervasive health monitoring through data linkages with other health informatics systems including the mining of health records, clinical trial databases, multi-omics data integration and social media. CONCLUSION: Technical advances have supported the evolution of the pervasive health paradigm towards preventative, predictive, personalised and participatory medicine. SIGNIFICANCE: The sensing technologies discussed in this paper and their future evolution will play a key role in realising the goal of sustainable healthcare systems.
Date Issued
2015-04-13
Date Acceptance
2015-04-13
Citation
IEEE Transactions on Biomedical Engineering, 2015, 62 (12), pp.2750-2762
ISSN
1558-2531
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
2750
End Page
2762
Journal / Book Title
IEEE Transactions on Biomedical Engineering
Volume
62
Issue
12
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Publication Status
Published