基于嵌入式AI的可穿戴健康管理系统设计  

Design of Wearable Health Management System Based on Embedded AI

作　　者：高凤梅[1] 吴攀 GAO Fengmei;WU Pan(Chongqing College of Electronic Engineering,Chongqing 401331,China)

机构地区：[1]重庆电子工程职业学院,重庆401331

出　　处：《现代信息科技》2020年第15期95-97,共3页Modern Information Technology

基　　金：2019年度重庆市教委科学技术研究计划青年项目(KJQN201903108)。

摘　　要：健康管理作为新型的医疗模式,实现患者疾病的早发现、早治疗,但是目前健康管理的生理参数只限于医院体检中心固定时间的体检,不能实现连续、实时的监测,不能及时的发现疾病。该系统基于嵌入式AI,采用可穿戴传感器,运用TI公司ARM+DSP双核的微处理器DM642运行AI算法SVM进行血压、血氧、心率、呼吸、身体姿态等生理信息的较精确的测量,通过NB-IOT模块上传至云端对用户进行健康管理。经试验,该系统可以用于以社区为单位的健康管理。As a new medical model,health management can make the disease early discovered and treated.However,at present,the physiological parameters of health management are only limited to the fixed time physical examination in the hospital physical examination center,which can not realize continuous real-time monitoring and timely detection of diseases.This system is based on embedded artificial intelligence,uses wearable sensor,uses TI’s ARM + DSP dual core microprocessor DM642 to run AI algorithm SVM to measure physiological information such as blood pressure,blood oxygen,heart rate,respiration,body posture and so on.The system is uploaded to the cloud through NB-IOT module for health management of users.The system can be used for community-based health management.

关 键 词：嵌入式AI 支持向量机 可穿戴 健康管理 

分 类 号：TP368.3[自动化与计算机技术—计算机系统结构] TP311.5[自动化与计算机技术—计算机科学与技术]