| Literature DB >> 18002885 |
Michael R Narayanan1, Steven R Lord, Marc M Budge, Branko G Celler, Nigel H Lovell.
Abstract
We describe a distributed falls management system capable of real-time falls detection in an unsupervised living context and remote longitudinal tracking of falls risk parameters using a waist-mounted triaxial accelerometer. A self-administrable falls risk assessment is used to facilitate falls prevention. A web-interface allows clinicians to monitor the status of individuals and track their compliance with exercise interventions. Early identification of increased falls risk allows targeted interventions to be promptly administered. Real-time detection of falls allows immediate emergency response protocols to be deployed, reducing morbidity and increasing the independence of the community-dwelling elderly community.Mesh:
Year: 2007 PMID: 18002885 DOI: 10.1109/IEMBS.2007.4353219
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN: 1557-170X