[1] Zhang Jingwen, Jia Minping,. Human-machine compatibility and dynamic analysis of a novelunpowered and self-adaptive shoulder rehabilitation exoskeleton [J]. Journal of Southeast University (English Edition), 2020, 36 (2): 138-144. [doi:10.3969/j.issn.1003-7985.2020.02.003]

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Human-machine compatibility and dynamic analysis of a novelunpowered and self-adaptive shoulder rehabilitation exoskeleton()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

36

Issue:

2020 2

Page:

138-144

Research Field:

Biological Science and Medical Engineering

Publishing date:

2020-06-20

Info

Title:

Human-machine compatibility and dynamic analysis of a novelunpowered and self-adaptive shoulder rehabilitation exoskeleton

Author(s):

Zhang Jingwen;  Jia Minping

School of Mechanical Engineering, Southeast University, Nanjing 211189, China

Keywords:

rehabilitation;  exoskeleton;  human-machine compatibility;  kinematic analysis;  gravity balance

PACS:

R496;TH77

DOI:

10.3969/j.issn.1003-7985.2020.02.003

Abstract:

To reduce the complexity of the configuration and control strategy for shoulder rehabilitation exoskeleton, a 2R1R1P2R serial of shoulder exoskeleton based on gravity balance is proposed. Based on three basic rotatory shoulder joints, an exact kinematic constraint system can be formed between the exoskeleton and the upper arm by introducing a passive sliding pair and a center of glenohumeral(CGH)unpowered compensation mechanism, which realizes the human-machine kinematic compatibility. Gravity balance is used in the CGH compensation mechanism to provide shoulder joint support. Meanwhile, the motion of the compensation mechanism is pulled by doing reverse leading through the arm to realize the kinematic self-adaptive, which decreases control complexity. Besides, a simple and intuitive spring adjustment strategy is proposed to ensure the gravity balance of any prescribed quality. Furthermore, according to the influencing factors analysis of the scapulohumeral rhythm, the kinematic analysis of CGH mechanism is performed, which shows that the mechanism can fit the trajectory of CGH under various conditions. Finally, the dynamic simulation of the mechanism is carried out. Results indicate that the compensation torques are reduced to below 0.22 N·m, and the feasibility of the mechanism is also verified.

References:

[1] van Peppen R P, Kwakkel G, Wood-Dauphinee S, et al. The impact of physical therapy on functional outcomes after stroke: What’s the evidence?[J]. Clinical Rehabilitation, 2004, 18(8): 833-862. DOI:10.1191/0269215504cr843oa.
[2] Lum P S, Burgar C G, Shor P C, et al. Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke[J]. Archives of Physical Medicine and Rehabilitation, 2002, 83(7): 952-959. DOI:10.1053/apmr.2001.33101.
[3] Crockett H C, Gross L B, Wilk K E, et al. Osseous adaptation and range of motion at the glenohumeral joint in professional baseball pitchers[J]. The American Journal of Sports Medicine, 2002, 30(1): 20-26. DOI:10.1177/03635465020300011701.
[4] Nef T, Riener R. Shoulder actuation mechanisms for arm rehabilitation exoskeletons[C]//2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics. Scottsdale, AZ, USA, 2008: 862-868. DOI:10.1109/biorob.2008.4762794.
[5] Kim B, Deshpande A D. Controls for the shoulder mechanism of an upper-body exoskeleton for promoting scapulohumeral rhythm[C]//2015 IEEE International Conference on Rehabilitation Robotics. Singapore, 2015: 538-542. DOI:10.1109/icorr.2015.7281255.
[6] Thalagala T D R G, Silva S D K C, Maduwantha L K A H, et al. A 4 DOF exoskeleton robot with a novel shoulder joint mechanism[C]//2016 IEEE/SICE International Symposium on System Integration. Sapporo, Japan, 2016: 132-137. DOI:10.1109/sii.2016.7843987.
[7] Liu C, Zhu C, Liang H B, et al. Development of a light wearable exoskeleton for upper extremity augmentation[C]//2016 23rd International Conference on Mechatronics and Machine Vision in Practice. Nanjing, China, 2016: 1-6. DOI:10.1109/m2vip.2016.7827318.
[8] Yalcin M, Patoglu V. Kinematics and design of AssistOn-SE: a self-adjusting shoulder-elbow exoskeleton[C]//2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics. Rome, Italy, 2012: 1579-1585. DOI:10.1109/biorob.2012.6290928.
[9] Zhang L Y, Li J F, Su P, et al. Improvement of human-machine compatibility of upper-limb rehabilitation exoskeleton using passive joints[J]. Robotics and Autonomous Systems, 2019, 112: 22-31. DOI:10.1016/j.robot.2018.10.012.
[10] Li J F, Liu J H, Zhang L Y, et al. Kinematics and dexterity analysis of the human-machine compatible exoskeleton mechanism for shoulder joint rehabilitation[J]. Journal of Mechanical Engineering, 2018, 54(3): 46-54.(in Chinese)
[11] Lin P Y, Shieh W B, Chen D Z. A theoretical study of weight-balanced mechanisms for design of spring assistive mobile arm support(MAS)[J]. Mechanism and Machine Theory, 2013, 61: 156-167. DOI:10.1016/j.mechmachtheory.2012.11.003.
[12] Wu Q C, Wang X S, Du F P. Development and analysis of a gravity-balanced exoskeleton for active rehabilitation training of upper limb[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2016, 230(20): 3777-3790. DOI:10.1177/0954406215616415.
[13] Klopcˇar N, Lenarcˇicˇ J. Bilateral and unilateral shoulder girdle kinematics during humeral elevation[J]. Clinical Biomechanics, 2006, 21: S20-S26. DOI:10.1016/j.clinbiomech.2005.09.009.
[14] Magermans D J, Chadwick E K J, Veeger H E J, et al. Requirements for upper extremity motions during activities of daily living[J]. Clinical Biomechanics, 2005, 20(6): 591-599. DOI:10.1016/j.clinbiomech.2005.02.006.
[15] Churchill E, Laubach L L, Mcconville J T, et al. Anthropometric source book. Volume 1: Anthropometry for Designers[M]. Houston: NASA. 1978: Ⅳ31-Ⅳ38.

Memo

Memo:

Biographies: Zhang Jingwen(1995—), female, graduate; Jia Minping(corresponding author), male, doctor, professor, mpjia@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51675098).
Citation: Zhang Jingwen, Jia Minping. Human-machine compatibility and dynamic analysis of a novel unpowered and self-adaptive shoulder rehabilitation exoskeleton[J].Journal of Southeast University(English Edition), 2020, 36(2):138-144.DOI:10.3969/j.issn.1003-7985.2020.02.003.

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