Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/73846
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Type: Conference paper
Title: Framework for preventing falls in acute hospitals using passive sensor enabled radio frequency identification technology
Author: Visvanathan, R.
Ranasinghe, D.
Shinmoto Torres, R.
Hill, K.
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. 5858-5862
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
Conference Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (34th : 2012 : San Diego)
Statement of
Responsibility: 
Renuka Visvanathan, Damith Chinthana Ranasinghe, Roberto Luis Shinmoto Torres and Keith Hill
Abstract: We describe a distributed architecture for a real-time falls prevention framework capable of providing a technological intervention to mitigate the risk of falls in acute hospitals through the development of an AmbIGeM (Ambient Intelligence Geritatric Management system). Our approach is based on using a battery free, wearable sensor enabled Radio Frequency Identification device. Unsupervised classification of high risk falls activities are used to facilitate an immediate response from caregivers by alerting them of the high risk activity, the particular patient, and their location. Early identification of high risk falls activities through a longitudinal and unsupervised setting in real-time allows the preventative intervention to be administered in a timely manner. Furthermore, real-time detection allows emergency protocols to be deployed immediately in the event of a fall. Finally, incidents of high risk activities are automatically documented to allow clinicians to customize and optimize the delivery of care to suit the needs of patients identified as being at most risk.
Keywords: Wireless/ubiquitous technologies and systems; health information networks and architectures; RFID and NFC in health
Rights: Copyright © 2012 IEEE Engineering in Medicine and Biology Society. All rights reserved.
RMID: 0020122333
DOI: 10.1109/embc.2012.6347326
Description (link): http://embs.papercept.net/conferences/conferences/EMBC12/program/EMBC12_ContentListWeb_3.html
Appears in Collections:Electrical and Electronic Engineering publications

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