Design Process of Exoskeleton Rehabilitation Device and Implementation of Bilateral Upper Limb Motor Movement

被引:41
|
作者
Song, Zhibin [2 ]
Guo, Shuxiang [1 ,3 ]
机构
[1] Kagawa Univ, Dept Intelligent Mech Syst Engn, Takamatsu, Kagawa 7610396, Japan
[2] Kagawa Univ, Grad Sch, Takamatsu, Kagawa 7610396, Japan
[3] Harbin Engn Univ, Automat Coll, Harbin 150001, Peoples R China
关键词
Phantom premium; MTx sensor; Exoskeleton device; Bilateral training; STROKE PATIENTS; ARMIN II; ROBOT; THERAPY; COORDINATION; PERFORMANCE; CORTEX; JOINT;
D O I
10.5405/jmbe.987
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
With the development of neurorehabilitation, physical rehabilitation strategies for the upper limbs have become gradually accepted by therapists and researchers. These strategies include intensive intervention, task-oriented training, and bilateral training. Most upper limb rehabilitation systems have been developed for unilateral training. This paper develops an upper limb exoskeleton rehabilitation device (ULERD) that can be used for bilateral training. The device has three active degrees of freedom (DoFs) in the elbow and wrist joints, and an additional four passive DoFs at these joints to correct any misalignment between the human and device joints. A bilateral training strategy is implemented with the developed ULERD and a haptic device according to neurorehabilitation theory. In a preliminary study, a healthy user was able to manipulate the haptic device with one hand (intact hand for hemiplegic patients) when the upper arm was fixed, and the ULERD assisted in moving the other hand (impaired upper limb for hemiplegic patients). To implement bilateral training, the kinematics of one upper limb (intact limb) and the haptic device is analyzed, respectively. The angles of the three active DoFs are determined via integration. An inertia sensor is used to evaluate the kinematics resolution. The ULERD was evaluated by experienced therapists during the design process to determine its potential for clinic application. Experimental results indicate that the kinematics resolution is effective and that this type of bilateral movement can be implemented using the ULERD and the haptic device.
引用
收藏
页码:323 / 329
页数:7
相关论文
共 50 条
  • [41] Design and Modeling of an Upper Limb Exoskeleton
    Rosales, Y.
    Lopez, R.
    Rosales, I.
    Salazar, S.
    Lozano, R.
    2015 19TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2015, : 266 - 272
  • [42] Implementation of wearable device for upper limb rehabilitation using embedded IoT
    Babu, M. Veeresh
    Ramya, V.
    Murugan, V. Senthil
    INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION, 2024, 15 (02) : 90 - 95
  • [43] DESIGN AND CONTROL OF A ROBOTIC DEVICE FOR UPPER LIMB REHABILITATION THERAPY
    Mounis, Shawgi Y. A.
    Azlan, Norsinnira Z.
    Zakia, H.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2022, 17 (02): : 1306 - 1327
  • [44] The Design and Prototype Fabrication of the Hemiplegic Upper Limb Rehabilitation Device
    He, Bai Ting
    Shao, De Fu
    Tian, Guo Zhong
    Zhao, Yong Jie
    Sha, Er Wang
    Deng, Yue
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY V, 2015, : 358 - 365
  • [45] Design of Smart Portable Rehabilitation Exoskeletal Device for Upper Limb
    Kim, Do Yeon
    Kim, Jong-Hoon
    Prabakar, Mangai
    Jung, YoungJin
    2016 32ND SOUTHERN BIOMEDICAL ENGINEERING CONFERENCE (SBEC), 2016, : 134 - 134
  • [46] Requirements for Upper-Limb Rehabilitation with FES and Exoskeleton
    Kim, Woojin
    Joe, Hyunwoo
    Kim, HyunSuk
    Lee, Seung-Jun
    Yoon, Daesub
    Jung, Je Hyung
    Acuna, Borja Bornail
    Lee, Hooman
    Raton, Javier Finez
    Isoird, Carlos Fernandez
    Marinelarena, Iker
    Alonso, Miguel Angel Aldudo
    Shin, Myung Jun
    Park, Tae Sung
    INTELLIGENT HUMAN COMPUTER INTERACTION, IHCI 2020, PT II, 2021, 12616 : 172 - 177
  • [47] Design of a Hand Exoskeleton Rehabilitation Device
    Bi, Qian
    Yang, Canjun
    MECHATRONICS AND MATERIALS PROCESSING I, PTS 1-3, 2011, 328-330 : 1778 - 1783
  • [48] Kinematics, Dynamics and Control of an Upper Limb Rehabilitation Exoskeleton
    Wu, Qingcong
    Shao, Ziyan
    MULTISENSOR FUSION AND INTEGRATION IN THE WAKE OF BIG DATA, DEEP LEARNING AND CYBER PHYSICAL SYSTEM, 2018, 501 : 284 - 298
  • [49] Study of a Hybrid Actuated Exoskeleton for Upper Limb Rehabilitation
    Chakarov, Dimitar
    Veneva, Ivanka
    Tsveov, Mihail
    Venev, Pavel
    ICINCO: PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 2020, : 498 - 505
  • [50] Design and Implementation of a Movement Progressive Induced Training Method for Robot-assisted Upper Limb Rehabilitation
    Zhu Baotong
    Dai Yaping
    Guo Qiang
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 5860 - 5865