Bioinspired Musculoskeletal Model-based Soft Wrist Exoskeleton for Stroke Rehabilitation
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Journal of Bionic Engineering http://www.springer.com/journal/42235
Bioinspired Musculoskeletal Model-based Soft Wrist Exoskeleton for Stroke Rehabilitation Ning Li1,2,3, Tie Yang1,2, Yang Yang1,2, Peng Yu1,2*, Xiujuan Xue4, Xingang Zhao1,2, Guoli Song1,2, Imad H. Elhajj5, Wenxue Wang1,2, Ning Xi6, Lianqing Liu1,2* 1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 3. University of Chinese Academy of Sciences, Beijing 100049, China 4. Rehabilitation Center for the Disabled, Shenyang 110015, China 5. Vision and Robotics Lab, Department of Electrical and Computer Engineering, American University of Beirut, Beirut 1107 2020, Lebanon 6. Emerging Technologies Institute, Department of Industrial & Manufacturing Systems Engineering, University of Hong Kong, Pokfulam, Hong Kong 999077, China
Abstract Exoskeleton robots have demonstrated the potential to rehabilitate stroke dyskinesia. Unfortunately, poor human-machine physiological coupling causes unexpected damage to human of muscles and joints. Moreover, inferior humanoid kinematics control would restrict human natural kinematics. Failing to deal with these problems results in bottlenecks and hinders its application. In this paper, the simplified muscle model and muscle-liked kinematics model were proposed, based on which a soft wrist exoskeleton was established to realize natural human interaction. Firstly, we simplified the redundant muscular system related to the wrist joint from ten muscles to four, so as to realize the human-robot physiological coupling. Then, according to the above human-like musculoskeletal model, the humanoid distributed kinematics control was established to achieve the two DOFs coupling kinematics of the wrist. The results show that the wearer of an exoskeleton could reduce muscle activation and joint force by 43.3% and 35.6%, respectively. Additionally, the humanoid motion trajectories similarity of the robot reached 91.5%. Stroke patients could recover 90.3% of natural motion ability to satisfy for most daily activities. This work provides a fundamental understanding on human-machine physiological coupling and humanoid kinematics control of the exoskeleton robots for reducing the post-stroke complications. Keywords: stroke rehabilitation, simplified muscle model, soft wrist exoskeleton robot, bionic kinematics model Copyright © The author(s) 2020.
1 Introduction Robotic-aided neuro-rehabilitation is a clinically viable option to improve rehabilitation outcomes for stroke dyskinesia[1,2] which can assist 90% of patients to regain motion ability[3]. Upper limb functions are important for Activities of Daily Living (ADLs), like self-feeding and drinking[4,5], and joints closer to the limb end are the more difficult to recover according to rehabilitation medicine[6]. The motion ability of the wrist joint greatly affects the accuracy and stability of grasping. Therefor
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