Abstract
With the accelerated aging of the population and the continuous emergence of robotic equipment, the level of intelligent monitoring of nursing homes faces new challenges. This paper proposes an intelligent security monitoring and information management system based on the actual environment of the nursing home. This network monitoring system integrating intelligent sensor terminal and intelligent assistant robot equipment. The system can monitor the elderly’s urine in bed, ambulation, falling, position and accidents in the washroom in real time, and notify the caregiver in time; Regularly record the blood pressure, blood oxygen, heart rate physiological parameters of the elderly, and the interactive information between the intelligent bath chair, smart wheelchair, rehabilitation robot and the elderly in the nursing home, can storage the basic information of the elderly to reduce the difficulty of nursing staff, and at the same time provides convenience for the elderly.
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References
Malan, D., Fulford-Jones, T., Welsh, M., et al.: CodeBlue: an ad hoc sensor network infrastructure for emergency medical care. In: International Workshop on Wearable and Implantable Body Sensor Networks, May 2004
Trinugroho, Y.B.D., Rasta, K., Nguyen, T.H., et al.: A real-time web-based health monitoring system based on enterprise service bus. In: Proceedings of 2012 11th IADIS International Conference on WWW/Internet, pp. 165–172 (2012)
Zhu, X., Zhou, X., Chen, W., et al.: Estimation of sleep quality of residents in nursing homes using an internet-based automatic monitoring system. In: 2014 IEEE 11th International Conference on Ubiquitous Intelligence and Computing and 2014 IEEE 11th International Conference on Autonomic and Trusted Computing and 2014 IEEE 14th International Conference on Scalable Computing and Communications and Its Associated Workshops, pp. 659–665. IEEE (2014)
Shah, S.H., Iqbal, A., Shah, S.S.A.: Remote health monitoring through an integration of wireless sensor networks, mobile phones & cloud computing technologies. In: 2013 IEEE Global Humanitarian Technology Conference (GHTC), pp. 401–405. IEEE (2013)
Ansefine, K.E., Anggadjaja, E., Santoso, H.: Smart and wearable technology approach for elderly monitoring in nursing home. In: 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS), pp. 1–6. IEEE (2017)
Liu, K., Jiang, J., Ding, X., et al.: Design and development of management information system for research project process based on front-end and back-end separation. In: 2017 International Conference on Computing Intelligence and Information System (CIIS), pp. 338–342. IEEE (2017)
Fook, V.F.S., Jayachandran, M., Jiliang, E.P., et al.: Fiber Bragg grating-based monitoring and alert system for care of residents in nursing homes. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 195–200. IEEE (2018)
Chen, D., Zeng, B., Sun, Z., et al.: An off-bed detection and bathroom accident monitor system for nursing home. In: 2016 International Conference on Advanced Robotics and Mechatronics (ICARM), pp. 53–58. IEEE (2016)
Widenius, M., Axmark, D., Arno, K.: MySQL Reference Manual: Documentation from the Source. O’Reilly Media Inc., Sebastopol (2002)
Yongcai, G., Zhu, B., Chao, G.: Design of the multifunctional remote data acquisition system based on B/S mode computer system & applications (2010)
Pop, D.P., Altar, A.: Designing an MVC model for rapid web application development. Proc. Eng. 69, 1172–1179 (2014)
Acknowledgment
This research was supported by the National Key R&D Program of China (2017YFB1304105).
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Li, Y., Xu, Y., Lv, Y., Wang, J. (2019). A Web Based Security Monitoring and Information Management System for Nursing Homes. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11742. Springer, Cham. https://doi.org/10.1007/978-3-030-27535-8_7
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DOI: https://doi.org/10.1007/978-3-030-27535-8_7
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