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嵌入式颈椎健康智能系统设计OACSTPCD

Design of embedded cervical spine health intelligent system

中文摘要英文摘要

目的:为实现更好的颈椎健康监测与颈椎病预防效果,设计一种嵌入式颈椎健康智能系统.方法:该系统主要由移动便携监测终端、云端服务器、微信小程序三大部分组成.移动便携监测终端主要由数据采集模块、数据处理模块、物联网通信模块三大模块组成,其中数据采集模块选用JY901-S作为主要数据传感器;数据处理模块通过动作分类模型对头部动作进行分类识别,选用STM32F4作为主控芯片、国产RT-Thread作为嵌入式操作系统;物联网通信模块选用乐鑫ESP32-C3系列Wi-Fi蓝牙双模模块.云端服务器选用Linux+Nginx+uWSGI作为Web服务器架构,通过MySQL数据库存储用户数据,并利用颈椎健康评估模型评估用户颈椎健康状态.微信小程序采用WXML+WXSS+WXS开发.结果:该系统基本能够实现颈椎健康状态监测和运动指导功能,且对人体头部动作分类识别的平均准确率为90%以上,对颈部关节活动度的测量精度为±1°,整体性能较好.结论:该系统能有效帮助用户建立并维持规律的颈椎健康运动行为,可为医院等机构提供关键可靠的康复运动治疗方案与康复护理数据支撑.

Objective To design an embedded cervical spine health intelligent system for health monitoring and disease prevention of cervical spine.Methods The system was composed of a portable monitoring terminal,a cloud server and a WeChat App.The portable monitoring terminal consisted of a data acquisition module,a data processing module and an IoT communication module,in which the data acquisition module used JY 901-S as the main data sensor,the data processing had STM32F4 as the main control chip and China-made RT-Thread as the embedded operating system and realized classified head motion identification with an activity recognition model,and the IoT communication module selected an ESPRESSIF ESP32-C3 series Wi-Fi Bluetooth dual-mode module.The cloud server had a Web server architecture of Linux+Nginx+uWSGI,which stored user data with MySQL database and assessed cervical health status with an evaluation model.The WeChat App was developed with WXML+WXSS+WXS.Results The system developed basically realized the functions for health status monitoring and motion guidance of cervical spine,with an average accuracy for classified head motion identification higher than 90%and a measurement accuracy for neck joint mobility being±1°.Condusion The system developed effectively help users establish and maintain regular cervical spine health exercise behaviors,and provides hospitals and other institutions with reliable rehabilitation exercise treatment programs and rehabilitation care data support.[Chinese Medical Equipment Journal,2024,45(8):26-31]

张前程;周琬玥;黄杰民;龚隽盈;何永玲

广东药科大学医药信息工程学院,广州 510006

基础医学

嵌入式系统颈椎康复设备颈椎健康监测颈椎康复训练颈椎病

embedded systemcervical spine health systemcervical spine health monitoringcervical spine rehabilitation trainingcervical spine disorder

《医疗卫生装备》 2024 (008)

26-31 / 6

国家级大学生创新创业训练计划项目(202310573014)

10.19745/j.1003-8868.2024149

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