Falls management: detection and prevention, using a waist-mounted triaxial accelerometer.
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.
Narayanan
Michael R
MR
Biomedical Systems Laboratory, School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney NSW, Australia. z2275423@student.unsw.edu.au
Lord
Steven R
SR
Budge
Marc M
MM
Celler
Branko G
BG
Lovell
Nigel H
NH
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*