Development of Upper Limb Motor Function Training and Rehabilitation System

被引:0
|
作者
Guo, Shuxiang [1 ,2 ]
Song, Zhibin [3 ]
Ren, Changchun [4 ]
机构
[1] Harbin Engn Univ, Harbin, Peoples R China
[2] Kagawa Univ, Dept Intelligent Mech Syst Engn, Takamatsu, Kagawa 7610396, Japan
[3] Kagawa Univ, Grad Sch Engn, Takamatsu, Kagawa 7610396, Japan
[4] Jilin Univ, Zhuhai Coll, Zhuhai 519041, Guangdong, Peoples R China
关键词
Coordination motion; Haptic device; Inertial sensor; Virtual reality;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a novel task-oriented motor function training and assistance of upper limbs system for patients following stroke based on Virtual-Reality. In this system, a haptic device (Phantom Omni) and an inertia sensor are used to realize coordination training of two hands. We hope that this kind of training with haptic sensory and visual sensory will be helpful to stroke patients. This system is convenient and compact so that it is suitable for home-based rehabilitation. On the other hand, relative assessment system has been developed subsequently. In that system, the inertia sensor is also used and a 6-axises force sensor installed on the hand of 6 DOF robot is used to assess the effect of training.
引用
收藏
页码:931 / +
页数:2
相关论文
共 50 条
  • [31] Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot
    Zhang, Tianfang
    Yao, Zhao
    Chen, Fenfen
    Wang, Jie
    Shi, Weiyi
    Zheng, Jinjin
    Zhang, Ziwei
    Chen, Zuobing
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2024, (211):
  • [32] The Development of Multi-model Rehabilitation Training System for Lower Limb Sitting Function
    Wu, Jianfeng
    Sun, Yue
    Wu, Qun
    2017 5TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2017), 2017, 1834
  • [33] Basic Experiment on Rehabilitation of Upper-Limb Motor Function Using Haptic-Device System
    Lee, Ho Kyoo
    Kim, Young Tark
    Takahashi, Yoshiyuki
    Miyoshi, Tasuku
    Suzuki, Keisuke
    Komeda, Takashi
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2011, 35 (05) : 459 - 467
  • [34] Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot
    Zhang, Mingliang
    Chen, Jing
    Ling, Zongquan
    Zhang, Bochao
    Yan, Yanxin
    Xiong, Daxi
    Guo, Liquan
    SENSORS, 2022, 22 (03)
  • [35] System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery
    Zhang, Kai
    Chen, Xiaofeng
    Liu, Fei
    Tang, Haili
    Wang, Jing
    Wen, Weina
    BEHAVIOURAL NEUROLOGY, 2018, 2018
  • [36] The relationship between rehabilitation motivation and upper limb motor function in stroke patients
    Li, Wenxi
    Zhu, Guangyue
    Lu, Yang
    Wu, Jinglei
    Fu, Zhuoxin
    Tang, Junyi
    Zhang, Guohui
    Xu, Dongsheng
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [37] Active rehabilitation training system for upper limb based on virtual reality
    Han, Jianhai
    Lian, Shujun
    Guo, Bingjing
    Li, Xiangpan
    You, Aimin
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (12):
  • [38] Illusion Approach for Upper Limb Motor Rehabilitation
    Aung, Yee Mon
    Al-Jumaily, Adel
    NEUROTECHNIX: PROCEEDINGS OF THE INTERNATIONAL CONGRESS ON NEUROTECHNOLOGY, ELECTRONICS AND INFORMATICS, 2013, : 99 - 105
  • [39] Development of rehabilitation support system for reaching exercise of upper limb
    Maeda, H
    Morita, Y
    Yamamoto, E
    Kakami, H
    Ukai, H
    Matsui, N
    2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS, 2003, : 134 - 139
  • [40] Improving Motivation for Training Using a Rehabilitation System for Upper Limbs to Provide Feedback on Motor Function Scores
    Mori, Ayaka
    Koyanagi, Ken'ichi
    Misumi, Yuka
    Teramae, Shingo
    Sawai, Kei
    Motoyoshi, Tatsuo
    Masuta, Hiroyuki
    Oshima, Toru
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 1272 - 1275