Current Situation, Problems and Countermeasures of Community Home Nursing Service in the Internet+ Era

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Author: Zhao, Fangfang
• Format: Journal Article
• Language: English
• Published: Sciendo 01-01-2024
• Subjects: 22A10; Community-based home-aging; Fall detection algorithm; Internet of Things; Zigbee technology
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns-2024-2325

The problem of population aging is intensifying worldwide. The proportion of the elderly population is gradually increasing, and the wisdom of elderly care will become a social development trend. This paper explores the status quo and problems of community home care services in the Internet+ era through a questionnaire survey on the supply of intelligent community care services. Based on this basis, a smart community home care system is developed based on Internet of Things (IoT) technology. Embedded control modules such as sensors and buzzer alarms are used to collect information about the posture and vital signs of older adults and to issue an alarm when they fall. Zigbee technology is used to design the communication module of the system so that communication messages can be sent in case of emergency help to older adults. The Mahony fusion-based fall detection algorithm is utilized to determine the falls of older adults and combined with a beeping alarm to ensure real-time monitoring of the personal safety of older people. An empirical study was designed to analyze the satisfaction and perceived importance of the home care system for elderly users, and the results show that the average value of the satisfaction and perceived importance scores of the elderly users participating in the study is above 3.9, and the standard deviation is small. This paper’s smart community home care information system’s feasibility and effectiveness have been fully proven by the result.