Design, optimization, and analysis of a human-machine compatibility upper extremity exoskeleton rehabilitation robot

被引:3
|
作者
Ning, Yuansheng [1 ,2 ]
Wang, Hongbo [1 ,2 ,3 ,4 ]
Tian, Junjie [1 ,2 ]
Zhu, Pan [1 ,2 ]
Yang, Congliang [1 ,2 ]
Niu, Jianye [1 ,2 ]
机构
[1] Yanshan Univ, Parallel Robot & Mechatron Syst Lab Hebei Prov, 438 Hebei St, Qinhuangdao 066004, Peoples R China
[2] Yanshan Univ, Key Lab Adv Forging & Stamping Technol & Sci, Minist Educ, Qinhuangdao, Peoples R China
[3] Fudan Univ, Acad Engn & Technol, Shanghai, Peoples R China
[4] Shanghai Clin Res Ctr Aging & Med, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Upper extremity rehabilitation exoskeleton robot; mechanism optimization; movement space; human-machine compatibility; ANATOMY; ARMIN;
D O I
10.1177/09544062221139988
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
For rehabilitation therapy robots, the movement range, and comfort of rehabilitation are crucial to the patient's training and recovery and are also key factors in the design and performance evaluation of rehabilitation robots. In this paper, a highly harmonized upper extremity rehabilitation robot was proposed based on the human-machine coupling system model. Meanwhile, the shoulder joint structure of the rehabilitation robot was optimized to study the workspace range of this robot, the workspace of the upper extremity rehabilitation robot was fitted based on kinematic equations and the workspace volume size for different shoulder joint angles was analyzed. Finally, the upper extremity exoskeleton rehabilitation robot prototype was used to conduct the movement range tracking experiment and human-machine compatibility experiment in healthy volunteers to verify the rehabilitation training range and movement comfort of the rehabilitation robot. The experimental results show that when the optimized upper extremity exoskeleton rehabilitation robot was used to move in the coronal plane and sagittal plane of the human body, the overlaps of the movement range of the upper extremity wrist point W and the movement range of the healthy person was 97.23% and 97.66%, respectively, while the human-machine interaction force generated during the movement was mainly concentrated in the range of 0-10 kPa, which belongs to the low-pressure range of human-machine interaction. Therefore, this upper extremity rehabilitation robot can increase the movement range of patients' upper extremities and improve the comfort of rehabilitation training.
引用
收藏
页码:2802 / 2814
页数:13
相关论文
共 50 条
  • [31] Control of An Exoskeleton Robot for Upper Limb Rehabilitation
    Liu, Lin
    Shi, Yunyong
    Xie, Le
    2016 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2016, : 528 - 532
  • [32] A Training Exoskeleton for Rehabilitation in Upper Extremity for Stroke Patients
    Faiz, Sohaib
    Waris, Asim
    Mushtaq, Shafaq
    Khan, Niaz B.
    Jameel, Mohammed
    Galal, Ahmed M.
    JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY, 2023, 22 (03): : 273 - 281
  • [33] Improvement of Upper Extremity Rehabilitation Robotic Exoskeleton, NREX
    Song, Won-Kyung
    Song, Jun-Yong
    2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2017, : 580 - 582
  • [34] A Human-Machine Interface for assistive exoskeleton based on face analysis
    Baklouti, Malek
    Bruin, Michael
    Guitteny, Vincent
    Monacelli, Eric
    2008 2ND IEEE RAS & EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB 2008), VOLS 1 AND 2, 2008, : 630 - +
  • [35] Human-machine interaction and implementation on the upper extremities of a humanoid robot
    Jha, Panchanand
    Yadav, G. Praveen Kumar
    Bandhu, Din
    Hemalatha, Nuthalapati
    Mandava, Ravi Kumar
    Adin, Mehmet Sukru
    Saxena, Kuldeep K.
    Patel, Mahaboob
    DISCOVER APPLIED SCIENCES, 2024, 6 (04)
  • [36] A Lower Extremity Exoskeleton: Human-Machine Coupled Modeling, Robust Control Design, Simulation, and Overload-Carrying Experiment
    Guo, Qing
    Li, Songjing
    Jiang, Dan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [37] Design and Computer Simulation of a Human-Machine Interaction-Force Controlled Powered Upper-Limb Exoskeleton
    Wong, Jackson Joon Shee
    Ha, How Ung
    2014 IEEE CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 2014, : 1009 - 1014
  • [38] Dampace: Design of an Exoskeleton for Force-Coordination Training in Upper-Extremity Rehabilitation
    Stienen, Arno H. A.
    Hekman, Edsko E. G.
    Prange, Gerdienke B.
    Jannink, Michiel J. A.
    Aalsma, Arthur M. M.
    van der Helm, Frans C. T.
    van der Kooij, Herman
    JOURNAL OF MEDICAL DEVICES-TRANSACTIONS OF THE ASME, 2009, 3 (03):
  • [39] Design and Control of a Cable-Driven Exoskeleton System for Upper-Extremity Rehabilitation
    Chen, Zhiquan
    Wu, Jiyuan
    Ju, Chunqi
    Wang, Xingsong
    Tian, Mengqian
    Liu, Bin
    IEEE Access, 2024, 12 : 187964 - 187975
  • [40] Design and Control of a Cable-Driven Upper Limb Exoskeleton Robot for Rehabilitation
    Ju, Chunqi
    Chen, Zhiquan
    Qin, Hao
    Wang, Xingsong
    Tian, Mengqian
    2023 29TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE, M2VIP 2023, 2023,