A compact motorized end-effector for ankle rehabilitation training

被引:0
|
作者
Wu, Renxiang [1 ,2 ]
Luo, Mingyang [1 ,2 ]
Fan, Jiaming [1 ,2 ]
Ma, Jingting [1 ,2 ]
Zhang, Naiwen [1 ,2 ]
Li, Jianjun [3 ]
Li, Qiuyuan [3 ]
Gao, Fei [4 ]
Dan, Guo [1 ,2 ]
机构
[1] Med Elect Instrument Transformat Engn Technol Res, Shenzhen, Peoples R China
[2] Shenzhen Univ, Hlth Sci Ctr, Sch Biomed Engn, Shenzhen, Guangdong, Peoples R China
[3] Shenzhen Univ, Rehabil Clin, Gen Hosp, Shenzhen, Guangdong, Peoples R China
[4] Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Prov Key Lab Robot & Intelligent Syst, Shenzhen, Guangdong, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
ankle rehabilitation robot; ROM rehabilitation; stroke; motion intent recognition; lower limb rehabilitation robot; LOWER-LIMB; GAIT VELOCITY; STROKE; IMPAIRMENTS; ROBOT; PLASTICITY; PEOPLE; SYSTEM;
D O I
10.3389/frobt.2024.1453097
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper introduces a compact end-effector ankle rehabilitation robot (CEARR) system for addressing ankle range of motion (ROM) rehabilitation. The CEARR features a bilaterally symmetrical rehabilitation structure, with each side possessing three degrees of freedom (DOF) driven by three independently designed actuators. The working intervals of each actuator are separated by a series connection, ensuring they operate without interference to accommodate the dorsiflexion/plantarflexion (DO/PL), inversion/eversion (IN/EV), and adduction/abduction (AD/AB) DOF requirements for comprehensive ankle rehabilitation. In addition, we integrated an actuator and foldable brackets to accommodate patients in varied postures. We decoded the motor intention based on the surface electromyography (sEMG) and torque signals generated by the subjects' ankle joints in voluntary rehabilitation. Besides, we designed a real-time voluntary-triggered control (VTC) strategy to enhance the rehabilitation effect, in which the root mean square (RMS) of sEMG was utilized to trigger and adjust the CEARR rehabilitation velocity support. We verified the consistency of voluntary movement with CEARR rehabilitation support output for four healthy subjects on a nonlinear sEMG signal with an R 2 metric of approximately 0.67. We tested the consistency of triggering velocity trends with a linear torque signal for one healthy individual with an R 2 metric of approximately 0.99.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Design of an End-Effector Ankle-Foot Rehabilitation Robot with 3 DOF
    Wu, Renxiang
    Fan, Jiaming
    Wei, Jing
    Ma, Jinting
    Zhang, Naiwen
    Luo, Mingyang
    Gao, Fei
    Dan, Guo
    [J]. 2023 7TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES, ICRAS, 2023, : 18 - 22
  • [2] An intelligent end-effector for a rehabilitation robot
    Gosine, R.G.
    Harwin, W.S.
    Furby, L.J.
    Jackson, R.D.
    [J]. Journal of Medical Engineering and Technology, 1989, 13 (1-2): : 37 - 43
  • [3] AN INTELLIGENT END-EFFECTOR FOR A REHABILITATION ROBOT
    GOSINE, RG
    HARWIN, WS
    FURBY, LJ
    JACKSON, RD
    [J]. JOURNAL OF MEDICAL ENGINEERING & TECHNOLOGY, 1989, 13 (1-2) : 37 - 43
  • [4] Gait Training Algorithm of an End-Effector Typed Hybrid Walking Rehabilitation Robot
    Kim, Jung-Yup
    Kim, Jung-Joon
    Park, Kiwon
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 20 (10) : 1767 - 1775
  • [5] Gait Training Algorithm of an End-Effector Typed Hybrid Walking Rehabilitation Robot
    Jung-Yup Kim
    Jung-Joon Kim
    Kiwon Park
    [J]. International Journal of Precision Engineering and Manufacturing, 2019, 20 : 1767 - 1775
  • [6] An End-effector Arm Rehabilitation Robot with VE
    Angsupasirikul, Natthapong
    Chancharoen, Ratchatin
    [J]. PROCEEDINGS OF THE IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR 2015), 2015, : 717 - 722
  • [7] Stroke Gait Rehabilitation: A Comparison of End-Effector, Overground Exoskeleton, and Conventional Gait Training
    Goffredo, Michela
    Iacovelli, Chiara
    Russo, Emanuele
    Pournajaf, Sanaz
    Di Blasi, Chiara
    Galafate, Daniele
    Pellicciari, Leonardo
    Agosti, Maurizio
    Filoni, Serena
    Aprile, Irene
    Franceschini, Marco
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (13):
  • [8] Kinematic Comparison of Gait Rehabilitation with Exoskeleton and End-Effector Devices
    Ko, Byung-Woo
    Song, Won-Kyung
    [J]. WEARABLE ROBOTICS: CHALLENGES AND TRENDS, 2017, 16 : 213 - 217
  • [9] Adaptive control of an end-effector based electromechanical gait rehabilitation device
    Hussein, Sami
    Schmidt, Henning
    Krueger, Joerg
    [J]. 2009 IEEE 11TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2009, : 425 - +
  • [10] A Compact Laser-Steering End-Effector for Transoral Robotic Surgery
    Bothner, Simon A.
    York, Peter A.
    Song, Phillip C.
    Wood, Robert J.
    [J]. 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2019, : 7091 - 7096