TY - GEN
T1 - A bilateral training system for upper-limb rehabilitation
T2 - 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
AU - Sheng, Bo
AU - Zhang, Yanxin
AU - Tang, Lihua
AU - Xie, Shengquan
AU - Deng, Chao
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/30
Y1 - 2018/8/30
N2 - Previously, we reported a novel bilateral upper-limb rehabilitation system, an adaptive admittance controller and a related bilateral recovery strategy. In this study, we want to get a stronger evidence to verify the robustness of the proposed system, controller and recovery strategy as well as to further investigate the possibility of bilateral trainings for clinical applications. To this end, ten healthy subjects took part in a 60-minute experiment. Trajectories of robots and interaction force were recorded under the proposed bilateral recovery strategy which contained four exercise modes. For mode-l and mode-2, results showed that the trajectories of master and slave robots can catch the reference trajectory very well, and be changed with active interaction force applied by participants. For mode-3 and mode-4, participants finished tasks very well by drawing the 'square-shaped' trajectories through their own force. In conclusion, the experimental results were good enough to provide a strong and positive evidence for the proposed system and controller. Moreover, according to the feedbacks from participants, the bilateral recovery strategy can be treated as a new and interesting training as compared to the traditional unilateral training, and could be tested in clinical applications further.
AB - Previously, we reported a novel bilateral upper-limb rehabilitation system, an adaptive admittance controller and a related bilateral recovery strategy. In this study, we want to get a stronger evidence to verify the robustness of the proposed system, controller and recovery strategy as well as to further investigate the possibility of bilateral trainings for clinical applications. To this end, ten healthy subjects took part in a 60-minute experiment. Trajectories of robots and interaction force were recorded under the proposed bilateral recovery strategy which contained four exercise modes. For mode-l and mode-2, results showed that the trajectories of master and slave robots can catch the reference trajectory very well, and be changed with active interaction force applied by participants. For mode-3 and mode-4, participants finished tasks very well by drawing the 'square-shaped' trajectories through their own force. In conclusion, the experimental results were good enough to provide a strong and positive evidence for the proposed system and controller. Moreover, according to the feedbacks from participants, the bilateral recovery strategy can be treated as a new and interesting training as compared to the traditional unilateral training, and could be tested in clinical applications further.
UR - https://www.scopus.com/pages/publications/85053874053
U2 - 10.1109/AIM.2018.8452419
DO - 10.1109/AIM.2018.8452419
M3 - 会议稿件
AN - SCOPUS:85053874053
SN - 9781538618547
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 839
EP - 844
BT - AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 July 2018 through 12 July 2018
ER -