Reducing fall incidence in community elders by telecare using predictive systems
- 22 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3 (1094687X) , 1036-1039
- https://doi.org/10.1109/iembs.1997.756524
Abstract
Sensors have been developed to measure the relevant parameters that are associated with falls of the elderly living in the community; these include mobility, transfer rate, weight and impact history. The sensor outputs are fed into a computer system together with other biomedical factors such as age, sex, eye-sight and medication. A predictive algorithm is described which determines the likelihood of a fall; this predictive system may form the basis of a practical telecare method to enable early intervention and reduce the number of falls.Keywords
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