Alterations in muscle activation patterns during robot-assisted bilateral training: A pilot study.

Journal: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Published Date:

Abstract

Robot-assisted bilateral training is being developed as a new rehabilitation approach for stroke patients. However, there is still a lack of understanding of muscle functions when performing robot-assisted synchronous movements. The aim of this work is to explore the muscle activation patterns and the voluntary effort of participants during different robot-assisted bilateral training protocols. To this end, 10 healthy participants were recruited to take part in a 60-minute experiment. The experiment included two different bilateral exercises, and each exercise contained four different training protocols. Trajectories of the robots, interaction force and surface electromyogram signals were recorded during training. The results show that the robots do affect the muscle activation patterns during different training protocols and exercises rather than the controller. Specifically, the activity of muscles is reduced in robot-assisted training but is increased in active force involved robot-assisted training when compared to robot-unassisted training. Meanwhile, the voluntary effort of participants can be presented by the adjusted trajectories via the controller. In addition, the results also suggest that the activations for the same muscle groups in the left and right arms are highly correlated with each other in both exercises. Furthermore, the training protocols and methods developed in this work could be further extended in future clinical trials to investigate therapeutic outcomes for patients as well as to better understand bilateral recovery processes.

Authors

  • Bo Sheng
    Department of Mechanical Engineering, The University of Auckland, 20 Symonds Street, Auckland, New Zealand; Department of Sport and Exercise Science, The University of Auckland, 261 Morrin Road, Auckland, New Zealand. Electronic address: bshe687@aucklanduni.ac.nz.
  • Lihua Tang
    1 Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand.
  • Shengquan Xie
    Department of Mechanical Engineering, the University of Auckland, New Zealand. Electronic address: s.xie@auckland.ac.nz.
  • Chao Deng
    School of Mechanical Science & Engineering, Huazhong University Of Science & Technology, 1037 Luoyu Road, Wuhan, China. Electronic address: dengchao@hust.edu.cn.
  • Yanxin Zhang