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dc.contributor.authorVisvanathan, R.-
dc.contributor.authorRanasinghe, D.-
dc.contributor.authorShinmoto Torres, R.-
dc.contributor.authorHill, K.-
dc.identifier.citationEngineering 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-
dc.description.abstractWe 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.description.statementofresponsibilityRenuka Visvanathan, Damith Chinthana Ranasinghe, Roberto Luis Shinmoto Torres and Keith Hill-
dc.relation.ispartofseriesIEEE Engineering in Medicine and Biology Society Conference Proceedings-
dc.rightsCopyright © 2012 IEEE Engineering in Medicine and Biology Society. All rights reserved.-
dc.subjectWireless/ubiquitous technologies and systems-
dc.subjecthealth information networks and architectures-
dc.subjectRFID and NFC in health-
dc.titleFramework for preventing falls in acute hospitals using passive sensor enabled radio frequency identification technology-
dc.typeConference paper-
dc.contributor.conferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (34th : 2012 : San Diego)-
dc.identifier.orcidVisvanathan, R. [0000-0002-1303-9479]-
dc.identifier.orcidRanasinghe, D. [0000-0002-2008-9255]-
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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