摘要
智慧医疗已成为一种融合IOT和数据挖掘等技术的一种新型医疗系统模式,智慧医疗重要组成之一智慧健康管理其核心在于患者就诊的信息数据和电子健康档案。但是当下健康管理的不足之处就是患者的重要生理参数不能实现实时、连续的监测,主要受只能在固定时间去就诊或者参加体检的局限;耽误发现疾病的时间,影响最佳治疗时机。因此,设计一种基于嵌入式人工智能技术,结合可穿戴传感器,基于米尔科技公司核心平台MYC-CZU3EG(ARM Cortex-A53+FPGA逻辑单元)运行AI算法GA-BP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。以疲劳实验为例,实验结果能够证明设计的系统可以用于今后以家庭、社区为单位的健康管理。
A Smart medicine has become a new medical system model that integrates IOT and data mining technology,and one of the important components of intelligent medicine is the information data and electronic health files of patients.But the deficiency of current health management is that the patient’s important physiological parameters can not achieve realtime,continuous monitoring,mainly by only a fixed time to see a doctor or participate in a physical examination limitations;Delaying the detection of the disease affects the best time for treatment.Therefore,this paper designs an embedded artificial intelligence technology based on wearable sensors,based on Myer Technology’s core platform MYC-CZU3 EG(ARM CortexA53 plus FPGA logic unit) to run AI algorithm GA-BP for blood pressure,blood oxygen,heart rate,breathing,body posture and other physiological information more accurate measurement,through the NB-IOT module uploaded to the cloud for health management.Taking fatigue experiment as an example,the experimental results can prove that the system designed in this paper can be used for future health management based on family and community.
出处
《工业控制计算机》
2022年第2期41-43,共3页
Industrial Control Computer
基金
江苏省青蓝工程项目资助
院级科技课题科研项目(KY202009)。
