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dc.contributor.authorVisvanathan, R.
dc.contributor.authorRanasinghe, D.
dc.contributor.authorShinmoto Torres, R.
dc.contributor.authorHill, Keith
dc.date.accessioned2018-02-01T05:23:57Z
dc.date.available2018-02-01T05:23:57Z
dc.date.created2018-02-01T04:49:15Z
dc.date.issued2012
dc.identifier.citationVisvanathan, R. and Ranasinghe, D. and Shinmoto Torres, R. and Hill, K. 2012. Framework for preventing falls in acute hospitals using passive sensor enabled radio frequency identification technology.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2012: pp. 5858-5862.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/62480
dc.description.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.

dc.titleFramework for preventing falls in acute hospitals using passive sensor enabled radio frequency identification technology.
dc.typeJournal Article
dcterms.source.volume2012
dcterms.source.startPage5858
dcterms.source.endPage5862
dcterms.source.issn1557-170X
dcterms.source.titleConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
curtin.departmentSchool of Physiotherapy and Exercise Science
curtin.accessStatusFulltext not available


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