Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/73853
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Type: | Conference paper |
Title: | Towards falls prevention: a wearable wireless and battery-less sensing and automatic identification tag for real time monitoring of human movements |
Author: | Ranasinghe, D. Shinmoto Torres, R. Sample, A. Smith, J. Hill, K. Visvanathan, R. |
Citation: | Engineering Innovation in Global Health: Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, held in San Diego, August 28-September 1, 2012: pp. 6402-6405 |
Publisher: | IEEE |
Publisher Place: | CD |
Issue Date: | 2012 |
Series/Report no.: | IEEE Engineering in Medicine and Biology Society Conference Proceedings |
ISBN: | 1457717875 |
ISSN: | 1557-170X 2694-0604 |
Conference Name: | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (34th : 2012 : San Diego) |
Statement of Responsibility: | Damith Chinthana Ranasinghe, Roberto Luis Shinmoto Torres, Alanson Sample, Joshua R. Smith, Keith Hill and Renuka Visvanathan |
Abstract: | Falls related injuries among elderly patients in hospitals or residents in residential care facilities is a significant problem that causes emotional and physical trauma to those involved while presenting a rising healthcare expense in countries such as Australia where the population is ageing. Novel approaches using low cost and privacy preserving sensor enabled Radio Frequency Identification (RFID) technology may have the potential to provide a low cost and effective technological intervention to prevent falls in hospitals. We outline the details of a wearable sensor enabled RFID tag that is battery free, low cost, lightweight, maintenance free and can be worn continuously for automatic and unsupervised remote monitoring of activities of frail patients at acute hospitals or residents in residential care. The technological developments outlined in the paper forms part of an overall technological intervention developed to reduce falls at acute hospitals or in residential care facilities. This paper outlines the details of the technology, underlying algorithms and the results (where an accuracy of 94-100% was achieved) of a successful pilot trial. |
Keywords: | RFID and NFC in health wireless/ubiquitous technologies and systems mobile and wearable technologies for the elderly |
Rights: | Copyright © 2012 IEEE Engineering in Medicine and Biology Society. All rights reserved. |
DOI: | 10.1109/EMBC.2012.6347459 |
Description (link): | http://embs.papercept.net/conferences/conferences/EMBC12/program/EMBC12_ContentListWeb_3.htm |
Published version: | http://dx.doi.org/10.1109/embc.2012.6347459 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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RA_hdl_73853.pdf Restricted Access | Restricted Access | 1.07 MB | Adobe PDF | View/Open |
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