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International Journal of Integrated Care (IJIC)
Article . 2011 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Reliable automatic fall detection

Authors: Baldus, Heribert;

Reliable automatic fall detection

Abstract

Introduction: Seniors are living longer and remaining in their own homes; however, falls have become an epidemic problem that jeopardizes seniors’ chances to live independently. Subscribers wish there would be something that could call for help when they cannot. There are emergency response and fall detection systems, but many lack wearability, usability and reliability. Aims and objective: Philips worked closely with elderly consumers in the field to design a system that fits into the lives of the target audience. These frail seniors demand a system that is highly accurate, efficient, dependable, easy to use and easy to wear. Methods: We developed an automatic fall detector with breakthrough accuracy, using multi-sensor technology. The multi-sensor architecture enables high reliability and long battery life time. The system quality is verified by extensive laband field-trials. Results: Lifeline with AutoAlert features the only pendant-style help button that can automatically call for help if a fall is detected and the user is unable to push his/her help button. Conclusions: Emergency response systems with automatic fall detection provide help when needed. By raising confidence and reducing fear of falling they enable longer independent living.

Related Organizations
Keywords

independent living, Medicine (General), automatic fall detection, R5-920, elderly care, independent living, elderly care, personal emergency response, automatic fall detection, personal emergency response

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold