Author:
Sprute Dennis,Pörtner Aljoscha,Weinitschke Alexander,König Matthias
Publisher
Springer International Publishing
Reference15 articles.
1. World Health Organization: WHO Global Report on Falls Prevention in Older Age, Nonserial Publication Series. World Health Organization (2007)
2. Mubashir, M., Shao, L., Seed, L.: A survey on fall detection: Principles and approaches. Neurocomputing 100, 144–152 (2012)
3. Igual, R., Medrano, C., Plaza, I.: Challenges, issues and trends in fall detection systems. BioMedical Engineering OnLine 12(1), 66 (2013)
4. Kangas, M., Konttila, A., Winblad, I., Jamsa, T.: Determination of simple thresholds for accelerometry-based parameters for fall detection. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007, pp. 1367–1370 (2007)
5. Howcroft, J., Kofman, J., Lemaire, E.: Review of fall risk assessment in geriatric populations using inertial sensors. Journal of NeuroEngineering and Rehabilitation 10(1), 91 (2013)
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