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上肢康复运动的肌肉电信号采集系统 被引量:1

Muscle Electrical Signal Acquisition System for Upper Limb Rehabilitation
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摘要 基于脑卒中患者肩部出现不同程度的运动功能障碍,设计上肢康复运动的肌肉电信号采集系统。首先,利用表贴式方法采集八通道的表面肌肉电信号:然后,通过前置电路放大肌肉电信号,并利用右腿驱动技术降低共模;接着,通过低通和高通滤波,进行工频陷波:最后,进行后级放大。实验结果表明:该系统采集肌肉电信号准确率达82%。 Based on the different degree of motor dysfunction in the shoulder of stroke patients,a muscle electrical signal acquisition system for rehabilitation of upper limb was designed.Firstly,the surface muscle electrical signals of eight channels were collected by means of the meter stick method.Then through the front circuit for amplification,and using the right leg drive technology to reduce the role of common mode;Then through low-pass and high-pass filtering,power frequency notch wave;Finally,the rear stage is enlarged.The experimental results showed that the accuracy of the system was 82%.
作者 陈畅明 周炫汝 谭迎宵 黄鸿彪 曹东 Chen Changming;Zhou Xuanru;Tan Yingxiao;Huang Hongbiao;Cao Dong(School of Medical Information Engineering,Guangzhou University of Traditional Chinese Medicine,Guangzhou 510006,China)
出处 《自动化与信息工程》 2020年第2期33-38,共6页 Automation & Information Engineering
基金 广东省攀登计划项目(pdjh2019b0115)。
关键词 上肢康复 肌肉电信号 采集系统 upper limb rehabilitation muscle electrical signal acquisition system
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  • 1贾雪琴,王旭,李景宏,杨丹.基于小波变换和K-L展开的单通道表面肌电信号识别[J].东北大学学报(自然科学版),2006,27(8):859-862. 被引量:7
  • 2Carter G T. Rehabilitation management in neuromuscular diseases[J]. Neural Rehabil, 1997,11(1):69- 80.
  • 3McFarland D J, Wolpaw J R. Sensorimotor rhythm-based brain-computer interface(BCI) : feature selection by regression improves performance[ J ]. IEEE Transactions on Neural System and Rehabilitation Engineering, 2005,13 (3) : 372 - 379.
  • 4贾雪琴.单通道肌电信号在假肢和无声语音识别中的研究[D].沈阳:东北大学,2006.
  • 5Nisse I. Smart appliances and EMC appliance manufacturer [J ]. Electronic Component & Device Applications, 2002,50 (3):16-17.
  • 6Rowe M. Isolation boosts safety and integrity [J ]. Test & Measurement World, 2002,22 (9) : 27 - 31.
  • 7Johnnie M. Design a 60 Hz notch filter with the UAF42[J]. Application Bulletin, 2000,11 (3) : 71 - 72.
  • 8Tomioka R. Logistic regression for single trial EEG classification [ J ]. Neural Information Processing Systems, 2007,19(5) : 1377 - 1384.
  • 9赵海滨,王宏.基于功率谱估计和神经网络的脑-机接口研究[J].系统仿真学报,2007,19(19):4581-4582. 被引量:11

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