Abstract
As aging people is growing quickly in many countries, the fall problem is formed a curial public health and clinical problem among elderly persons because fall is the prime cause for traumatic death and physical sequela of them. However, as many of the elders choose solitary life alone and because of the isolation, the emergency service model has faced two main challenges: first, how to discover the fall accident; and next, how to communicate the emergency service center. In this research, we propose an intelligent homecare emergency service system based on two intelligent technologies: artificial neural network and intelligent software agent. The fall detector that based on tri-axes accelerometer and back-propagation neural network classifier is implemented to detect the fall events automatically. On the other hand, an intelligent agent-based homecare emergency service system is developed to communicate the emergency service center and hospitals for requesting help. In the meantime, the basic and important health information related to the elder will be sent together with that request. Thus, the emergency service center can base on the elder’s information to dispatch an available ambulance that takes the necessary medicines and equipment to the elder’s house.
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Doughty K. (2000) Fall prevention and management strategies based on intelligent detection, monitoring and assessment. Presented at New Technologies in Medicine for the Elderly, Charing Cross Hospital, 30th
Blake, A.J. (1992). Fall in the elderly. Br J Hosp Med, 47, 268–72.
Tinetti M.E (1994) Prevention of falls and fall injuries in elderly persons: a research agenda. Preventive Medicine. Vol 23, pp.756–762
Noury N, Virone G, Barralon P, Ye J, Rialle V, and Demongeot J (2003) New trends in health smart homes. IEEE, pp.118–127
Yamaguchi A, Ogawa M, Tamura T, and Togawa T (1998) Monitoring behavior in home using positioning sensors. In proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20(4), pp.1977–1979
Noury N, et al (2000) Monitoring behavior in home using a smart fall sensor and position sensors. In Proceedings of 1st Annual International IEEE-EMBS Special Topics Conference on Microtechnologies in Medicine & Biology. Lyon, France, pp.607–610.
Aguirre J.L, Brena R, Cantu F.J (2001) Multiagent-based knowledge networks. Expert Systems with Applications 20(1), pp. 65–75
Chang C-H and Chen Y (1996) Autonomous intelligent agent and its potential applications. Computers & Industrial Engineering 31(1–2), October, pp. 409–412
Su S. and Shih C.L (2003) Modeling an emergency medical services system using computer simulation. International Journal of Medical Informatics. Vol.72, pp. 57–72
Hammond W.E and Cimino J.J (2000) Standard in Medical Informatics. In E.H. Shortliffe and L.E. Perreault editors, Medical Informatics: Computer Applications in Health Care and Biomedicine, 2nd Editions. Springer-Verlag Press, pp. 212–256
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© 2007 International Federation for Medical and Biological Engineering
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Pan, JI., Yung, CJ., Liang, CC., Lai, LF. (2007). An Intelligent Homecare Emergency Service System for Elder Falling. In: Magjarevic, R., Nagel, J.H. (eds) World Congress on Medical Physics and Biomedical Engineering 2006. IFMBE Proceedings, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36841-0_114
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DOI: https://doi.org/10.1007/978-3-540-36841-0_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36839-7
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