Author:
Medrano Carlos,Igual Raul,Plaza Inmaculada,Castro Manuel
Publisher
Public Library of Science (PLoS)
Reference29 articles.
1. World Health Organization (2007) WHO global report on falls prevention in older age. Technical report. http://www.who.int/ageing/publications/Fallsprevention7March.pdf Accessed 2013 June 13.
2. Noury N, Fleury A, Rumeau P, Bourke A, Laighin G, et al. (2007) Fall detection – principles and methods. In: Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. pp. 1663–1666.
3. A survey on fall detection: Principles and approaches;M Mubashir;Neurocomputing,2013
4. Challenges, issues and trends in fall detection systems;R Igual;BioMedical Engineering OnLine,2013
5. Evaluation of a fall detector based on accelerometers: A pilot study;U Lindemann;Medical and Biological Engineering and Computing,2005
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