[Mirror-type rehabilitation training with dynamic adjustment and assistance for shoulder joint].

Journal: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Published Date:

Abstract

The real physical image of the affected limb, which is difficult to move in the traditional mirror training, can be realized easily by the rehabilitation robots. During this training, the affected limb is often in a passive state. However, with the gradual recovery of the movement ability, active mirror training becomes a better choice. Consequently, this paper took the self-developed shoulder joint rehabilitation robot with an adjustable structure as an experimental platform, and proposed a mirror training system completed by next four parts. First, the motion trajectory of the healthy limb was obtained by the Inertial Measurement Units (IMU). Then the variable universe fuzzy adaptive proportion differentiation (PD) control was adopted for inner loop, meanwhile, the muscle strength of the affected limb was estimated by the surface electromyography (sEMG). The compensation force for an assisted limb of outer loop was calculated. According to the experimental results, the control system can provide real-time assistance compensation according to the recovery of the affected limb, fully exert the training initiative of the affected limb, and make the affected limb achieve better rehabilitation training effect.

Authors

  • Sheng Chen
    Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Yizhe Yan
    School of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China. yanyizhe@mail.ustc.edu.cn.
  • Guozheng Xu
  • Xiang Gao
    Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
  • Kangjin Huang
    Institute of Robot Information Perception and Control, Nanjing University of Posts and Telecommunications, Nanjing 210023, P.R.China.
  • Chun Tai
    Institute of Robot Information Perception and Control, Nanjing University of Posts and Telecommunications, Nanjing 210023, P.R.China.