Frontiers in Medical Science Research, 2022, 4(3); doi: 10.25236/FMSR.2022.040307.
Liufu Zhiling1, Huang Fuchun2
1Department of Rehabilitation, Zengcheng District Hospital of traditional Chinese Medicine, Guangzhou, China
2School of Information Technology and Engineering, Guangzhou College of Commerce, Guangzhou, China
With the development of mobile internet of thing technology and remote monitoring technology, which are widely used in nursing homes, a design method of intelligent monitoring system for health of the Elderly in nursing home is introduced. Through internet of thing technology networks in nursing homes, the functions of intelligent monitoring, vital signs monitoring, call alarm, tracking and positioning are realized. Furthermore, due to the instability of mobile Internet, the best treatment time may be missed. Then, in order to better monitor the health status of the elderly in real time, the intelligent reflector technology is applied to the remote monitoring system. Thus, the monitoring efficiency for medical staff can be improved in the nursing home.
Nursing homes, Intelligent monitoring, Health of the Elderly, Intelligent reflector.
Liufu Zhiling, Huang Fuchun. Application of the Monitoring System for Health of the Elderly in the Nursing Home. Frontiers in Medical Science Research (2022) Vol. 4, Issue 3: 39-42. https://doi.org/10.25236/FMSR.2022.040307.
[1] Winnie, S., Diane, D., Lawrence, S. B. (2014) Using Remote Activity Monitoring and Guideline System for Home Care Clients to Support Geriatric Nursing Care in the Community. Journal of Nursing and Health Care, Vol.1, no.2, pp: 109-114.
[2] Kai, G., Shao, M., Wu, S. (2017) A Remote Health Monitoring System for the Elderly Based on Smart Home Gateway. Healthcare Engineering, ID: 5843504, pp: 1-9.
[3] GAO, Z., LI, T., BAI, M., etc. (2016) Design and implementation of intelligent monitoring system for home nursing bed. Modern Electronics Technique, Vol.39, no.14, pp: 42-45+48.
[4] James, C., Wai, C., Cheong, T. W., etc. (2021) Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior. Sensors, Vol. 21, no.3, pp: 704-704.
[5] Mukherjee, M., Kumar, V., Kumar, S., etc. (2021) Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. IEEE GLOBECOM, arXiv: 2109.07620v1 [cs.IT] 15.
[6] Hu, X., Masouros, C., Wong, K. K. (2021) Reconfigurable intelligent surface aided mobile edge computing: From optimization-based to location-only learning-based solutions. IEEE Transactions on Communications, Vol. 69, No. 6, pp: 3709-3725.