Abstract
A major problem in the elderlyare the negative effects of prolonged unattended stay after a fall. The proposed solution helps to reduce the negative consequences of falls through a portable noninvasive low-cost electronic system. The system, properly attached to the person, has the capacity to detect falls using MEMS accelerometers and generate an alert by sending a short text message through the public cellular network. The project includes the full design and the implementation of a biomedical portable prototype equipment using a reliable Atmel microcontroller, a medical-grade Bluetooth module and functional tests to evaluate the global effectiveness. The results were excellent, with sensitivity of 1 and specificity of 0.77 in several typical fall and not-fall sceneries.
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References
Organización Mundial de la Salud (2015) Informe mundial sobre envejecimiento y la salud. Ed. Estados Unidos de América. pp 266
Izquierdo M et al (2008)Valoración de la capacidad funcional en el ámbito domiciliario y en la clÃnica. Nuevas posibilidades de aplicación de la acelerometrÃa para la valoración de la marcha, equilibrio y potencia muscular en personas mayores, SCIELO, Navarra, 2008
Brickhouse Alert datasheets at http://www.brickhousealert.com
Jia N (2009) Detecting Human Falls with a 3-Axis Digital Accelerometer, Analog Dialogue vol. 43, 2009
Jantaraprim P et al (2009) Evaluation of Fall Detection for the Elderly on a Variety of Subject Groups, Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology, Singapore, 2009.
Huynh Q et al (2013) Fall Detection System Using Combination Accelerometer and Gyroscope, EDC 2013 Proceedings.
Huynh, Q et al (2015) Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly, IFMBE Proc. vol. 46, 2015, pp 184-189
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Oporto, E., Vilcahuaman, L.A. (2017). Fall detection system for elderly by MEMS accelerometer and SMS alert. In: Torres, I., Bustamante, J., Sierra, D. (eds) VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016. IFMBE Proceedings, vol 60. Springer, Singapore. https://doi.org/10.1007/978-981-10-4086-3_29
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DOI: https://doi.org/10.1007/978-981-10-4086-3_29
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