REMOTE HEALTH MONITORING: FALL DETECTION
Mohanad ABDULHAMID
moh1hamid@yahoo.comAl-Hikma University, Karada Kharidge, Baghdad (Iraq)
Deng PETER
University of Nairobi, P.O. Box 30197-00100, Nairobi (Kenya)
Abstract
Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. With elderly who live alone, not being found for hours after a fall is quite common and drastically increases the significance of fall-induced injuries. With an aging Baby Boomer population, the incidence of falls will only rise in the next few decades. The objective of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall.
Keywords:
remote health monitoring, fall detection, designReferences
Gong, S., Wang, Y., Zhang, M., & Wang, C. (2017). Design of remote elderly health monitoring system based on MEMS sensors. In 2017 IEEE International Conference on Information and Automation (ICIA) (pp. 494–498). Macau: IEEE.
DOI: https://doi.org/10.1109/ICInfA.2017.8078958
Google Scholar
Huang, Y., & Newman, K. (2012). Improve quality of care with remote activity and fall detection using ultrasonic sensors. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 5854–5857 ). San Diego, CA: IEEE.
Google Scholar
Malasinghe, L., Ramzan, N., & Dahal, K. (2019). Remote patient monitoring: a comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10(1), 57–76.
DOI: https://doi.org/10.1007/s12652-017-0598-x
Google Scholar
Saranya, M., Preethi, R., Rupasri, M., & Veena, S. (2018). A survey on health monitoring system by using IOT. International Journal for Research in Applied Science & Engineering Technology, 6(III), 778–782.
DOI: https://doi.org/10.22214/ijraset.2018.3124
Google Scholar
Authors
Deng PETERUniversity of Nairobi, P.O. Box 30197-00100, Nairobi Kenya
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