Framework for Preventing Falls in Acute Hospitals Using Passive Sensor Enabled Radio Frequency Identification Technology

TitleFramework for Preventing Falls in Acute Hospitals Using Passive Sensor Enabled Radio Frequency Identification Technology
Publication TypeConference Paper
Year of Publication2012
AuthorsVisvanathan, R., D. C. Ranasinghe, and Roberto L Shinmoto Torres
Conference Name34th International IEEE EMBS Conference (EMBC 2012)
Date Published08/2012
Conference LocationSan Diego, USA.
KeywordsFalls Prevention
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 RadioFrequency 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 preventativeintervention 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.