Accessibility navigation


Application of data fusion techniques and technologies for wearable health monitoring

King, R. C., Villeneuve, E., White, R. J., Sherratt, R. S. ORCID: https://orcid.org/0000-0001-7899-4445, Holderbaum, W. and Harwin, W. S. ORCID: https://orcid.org/0000-0002-3928-3381 (2017) Application of data fusion techniques and technologies for wearable health monitoring. Medical Engineering & Physics, 42. pp. 1-12. ISSN 1350-4533

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

839kB
[img] Text - Accepted Version
· Restricted to Repository staff only
· Available under License Creative Commons Attribution Non-commercial No Derivatives.

451kB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.medengphy.2016.12.011

Abstract/Summary

Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs. This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring. A snap-shot of current commercially available sensors is also provided, focusing on their sensing capability, and a commentary on the gaps that need to be bridged to bring research to market.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Biomedical Sciences
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:68569
Publisher:Elsevier

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation