Paper Info
Title
Towards falls prevention: a wearable wireless and battery-less sensing and automatic identification tag for real time monitoring of human movements.
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.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6347459
EMBC
Keywords
Field
DocType
biomechanics,wearable wireless sensing,acute hospital,telemedicine,real time monitoring,wearable sensor enabled rfid tag,geriatrics,patient monitoring,hospitals,biomedical equipment,frail patient,automatic identification tag,fall prevention,radiofrequency identification,batteryless sensing,residential care facility,human movement,sensors,unsupervised remote monitoring,radio frequency identification technology,automatic remote monitoring,residential care,injury prevention,ergonomics,suicide prevention,occupational safety,human factors
Telemedicine,Health care,Population,Remote patient monitoring,Computer science,Wearable computer,Computer security,Risk analysis (engineering),Electronic engineering,Injury prevention,Radio-frequency identification,Geriatrics
Conference
Volume
ISSN
ISBN
2012
1557-170X
978-1-4577-1787-1
Citations 
PageRank 
References 
7
0.55
6
Authors
6
Name
Order
Citations
PageRank
Damith Chinthana Ranasinghe119032.67
Roberto L Shinmoto Torres270.55
Alanson P Sample370.55
Smith Joshua R.42027361.75
Keith Hill5121.36
Renuka Visvanathan6162.81