Chen Xiaoyong, Yang Boxiong, Zhao Shuai, Wei Wei, Chen Jialu, Ding Jie, Wang Hong, Sun Peng, Gan Lin
School of Health Industry Management, University of Sanya, Sanya, China.
School of Information & Intelligence Engineering, University of Sanya, Sanya, China.
Comput Electr Eng. 2023 Mar;106:108602. doi: 10.1016/j.compeleceng.2023.108602. Epub 2023 Jan 24.
Global aging population, especially with the global pandemic outbreak of the Corona Virus Disease 2019 (COVID-19), has endangered human health security. Digital information technology through big data empowerment and intelligent application is widely considered a key element to solve the problems. Stroke is a life-threaten disorder. We studied individual health management and disease risk perception using human health assessment model and make full use of wearable wireless sensor, Internet of Things, big data, and Artificial Intelligence for potential risk monitoring and real-time stroke warning. We proposed an effective method of monitoring, early warning and rescue to improve the stroke treatment. The result shows that the health management empowered by big data can generate new opportunities and ideas to solve early detection and warning of stroke.
全球人口老龄化，尤其是随着2019年冠状病毒病（COVID-19）全球大流行的爆发，危及了人类健康安全。通过大数据赋能和智能应用的数字信息技术被广泛认为是解决这些问题的关键要素。中风是一种危及生命的疾病。我们使用人类健康评估模型研究了个人健康管理和疾病风险感知，并充分利用可穿戴无线传感器、物联网、大数据和人工智能进行潜在风险监测和中风实时预警。我们提出了一种有效的监测、预警和救援方法，以改善中风治疗。结果表明，大数据赋能的健康管理可以为解决中风的早期检测和预警带来新的机遇和思路。
