基于智能可穿戴设备的实时健康监测系统

Real-Time Health Monitoring System Based on Smart Wearable Devices

随着人口老龄化问题日益凸显,以及移动通信、图像技术、人工智能等技术的不断发展及创新融合,可穿戴设备发展如火如荼。尤其在数字化健康的驱动下,医疗可穿戴设备日益增多。本文设计一种基于智能可穿戴设备的实时健康监测系统,该系统由智能手戴式设备、应用终端和云平台三部分组成,通过采集心率、血氧、血糖、血压、体温等体征参数发送云端进行分析,并实时监测用户的健康状况;同时,还提供了更优的跌倒检测方法。若监测到用户健康指标异常或者跌倒时,医护人员和家人都会及时收到告警,并且可实时获取用户的位置,可在最短的时间内对用户采取紧急救治措施,最大程度上避免意外情况的发生。相对于现有的健康监测系统,该系统监测指标更加全面、功能更加完善、准确性更高,有助于为人们健康提供更好地呵护。

With the increasingly prominent problem of population aging and the continuous development and innovative integration of mobile communication, image technology, artificial intelligence and other technologies, the development of wearable devices is in full swing. Especially driven by digital health, medical wearable devices are increasing day by day. In this paper, a real-time health monitoring system based on smart wearable devices is designed. The system consists of three parts: smart hand-worn devices, application terminals and cloud platforms. It collects physical parameters such as heart rate, blood oxygen, blood sugar, blood pressure, and body temperature and sends them to the cloud. Analyze and monitor the user’s health status in real-time;at the same time, it also provides a better fall detection method. If the user’s health indicators are abnormal or fall, the medical staff and family members will receive an alarm in time, and the user’s location can be obtained in real-time, which can take emergency rescue measures for users in the shortest time to avoid accidents to the greatest extent. Compared with the existing health monitoring system, the system has more comprehensive monitoring indicators, more complete functions, and higher accuracy, which helps to provide better care for people’s health.