DocumentCode :
2115061
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.C. ; Shinmoto Torres, Roberto L. ; Sample, A.P. ; Smith, J.R. ; Hill, K. ; Visvanathan, R.
Author_Institution :
Fac. of Eng. & Comput. & Math. Sci., Auto-ID Lab., Univ. of Adelaide, Adelaide, SA, Australia
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
6402
Lastpage :
6405
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 :
biomechanics; biomedical equipment; geriatrics; hospitals; patient monitoring; radiofrequency identification; sensors; telemedicine; acute hospital; automatic identification tag; automatic remote monitoring; batteryless sensing; fall prevention; frail patient; human movement; radio frequency identification technology; real time monitoring; residential care; residential care facility; unsupervised remote monitoring; wearable sensor enabled RFID tag; wearable wireless sensing; Antennas; Australia; Hospitals; Legged locomotion; Monitoring; Radiofrequency identification; Accidental Falls; Algorithms; Automation; Humans; Monitoring, Physiologic; Movement; Radio Waves; Walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347459
Filename :
6347459
Link To Document :
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