Remote health monitoring: fall detection

• Autorzy: Abdulhamid Mohanad , Peter Deng

Identyfikatory

DOI

10.23743/acs-2020-08

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

remote health monitoring; fall detection; design

PL

zdalne monitorowanie stanu zdrowia; wykrywanie upadku; projektowanie

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2020
• Tom: Vol. 16, no 1
• Strony: 95--102
• Opis fizyczny: Bibliogr. 4 poz., fig.

Twórcy

autor

Abdulhamid Mohanad

• Al-Hikma University, Karada Kharidge, Baghdad, Iraq

autor

Peter Deng

• University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya

Bibliografia

• [1] 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.
• [2] 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.
• [3] Malasinghe, L., Ramzan, N., & Dahal, K. (2019). Remote patient monitoring:
• a comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10(1), 57–76.
• [4] 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.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).