title: Falls management: detection and prevention, using a waist-mounted triaxial accelerometer.
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.
authors.affiliation: Biomedical Systems Laboratory, School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney NSW, Australia. z2275423@student.unsw.edu.au
authors.forename: Michael R
authors.initials: MR
authors.lastname: Narayanan
authors.forename: Steven R
authors.initials: SR
authors.lastname: Lord
authors.forename: Marc M
authors.initials: MM
authors.lastname: Budge
authors.forename: Branko G
authors.initials: BG
authors.lastname: Celler
authors.forename: Nigel H
authors.initials: NH
authors.lastname: Lovell
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control*; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006707:Homes for the Aged; D006801:Humans; D008297:Male; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods*