[1]王亚伟,薛建彬,任汉能.基于物联网的上肢远程康复指导系统的研究[J].机械与电子,2020,(12):46-50.
　WANG Yawei,XUE Jianbin,REN Hanneng.Study of the Remote Rehabilitation System of Upper Limb Based on the Internet of Things[J].Machinery & Electronics,2020,(12):46-50.
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基于物联网的上肢远程康复指导系统的研究()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2020年12期
页码:
46-50
栏目:
自动控制与检测
出版日期:
2020-12-18

文章信息/Info

Title:
Study of the Remote Rehabilitation System of Upper Limb Based on the Internet of Things
文章编号:
1001-2257（2020）12-0046-05
作者:
王亚伟1; 薛建彬1; 任汉能2
1.南京航空航天大学机电学院,江苏 南京 2100 16;
2.中国航天科工集团8511研究所,江苏 南京 210016
Author(s):
WANG Yawei1 ;  XUE Jianbin 1; REN Hanneng 2
1.College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China;
2.No. 8511 Research Institute of CASIC,Nanjing 210007,China
关键词:
物联网;  上肢康复;  表面肌电;  姿态解算
Keywords:
internet of things;  upper limb rehabilitation;  surface EMG;  attitude algorithm
分类号:
TP393
文献标志码:
A
摘要:
提出了一种上肢远程康复训练指导系统，为处于康复后期的患者提供远程康复训练平台。使用STM32作为终端控制模块处理器，控制康复过程中数据的采集、预处理及发送，使用Wi-Fi模块和MQTT协议，实现采集设备与云服务器的通信。对肌电信号时频域分析求出肌力值和肌肉疲劳情况，对姿态传感器信号处理求出关节活动度，用于对康复训练做出初步的康复评价，并通过Tomcat服务器，完成浏览器与云服务器的交互，在网页显示康复数据，实现远程监测康复训练、上传和查看康复评价等功能。
Abstract:
This project puts forward the upper limb remote rehabilitation training system, which provides a platform for remote rehabilitation training for patients who are in the later stage of rehabilitation. In this paper, STM32 is used as the terminal control module ?to control the collection , pre-processing and transmission of data in the rehabilitation process.The recovery data is sent to the cloud server using Wi-Fi module and MQTT protocol. The time and frequency domain analysis of EMG signals are used to calculate muscle strength and muscle fatigue, and the attitude sensor signal is used to calculate the range of motion of joints, so as to make a preliminary rehabilitation evaluation for rehabilitation training . Tomcat server is used to complete the interaction between the browser and the cloud server, and the rehabilitation information is displayed on the web pages. Through web pages, doctors and patients can monitor rehabilitation training, upload and view the rehabilitation evaluation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2020-08-13
作者简介：王亚伟（1995-），女，内蒙古乌兰察布人，硕士研究生，研究方向为物联网、康复医疗；薛建彬（1970-），男，江苏南京人，副教授，研究方向为机器人应用、智能化制造等；任汉能（1969-），男，江苏淮安人，研究员，研究方向为机器人应用、电液驱动技术等。
更新日期/Last Update: 2020-12-18