Research on the application and practice of Internet of Things technology in geriatric care

Abstract

As society moves into the aging stage and the number of elderly living alone is increasing, elderly care has become a key concern. In this paper, a monitoring system for elderly care is developed with the community living environment and physiological data of the elderly as the research object. Indoor temperature and humidity are monitored by temperature and humidity sensors in order to set reasonable comfort parameters for the elderly. The indoor smoke and carbon monoxide concentrations at the collection site are converted into voltage signals to ensure the safety of the environment in which the elderly live. Collect multidimensional parameters such as heart rate, blood oxygen, body temperature, posture and other real-time monitoring of the elderly's physiological data. At the same time, the action signal data of the elderly is collected, and the median filtering processing method is used to accurately extract the characteristics of the action signal to detect whether the elderly fall. Finally, NB-IoT wireless transmission technology is used to upload the detection data to the Internet of Things, realizing the long-distance transmission of nursing information. A comprehensive functional test of the community home-based elderly care monitoring system was conducted, and the system's detection results of the elderly's heart rate, blood oxygen, body temperature, posture and other data basically matched the actual results, and the accuracy of the elderly fall detection reached more than 95%, which met the expectations of the system design. It provides a solution for realizing intelligent and remote community home care.