基于虚拟现实的下肢主被动康复训练系统研究

郭晓辉 1; 王晶 1; 杨扬 1; 张鑫 1; 2; 徐光华 1; 2

doi:10.7652/xjtuxb201602021

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基于虚拟现实的下肢主被动康复训练系统研究

更新时间：2025-07-09

- 基于虚拟现实的下肢主被动康复训练系统研究
- Active and Passive Training System of Lower Limb Rehabilitation Based on Virtual Reality
- 西安交通大学学报 2016年50卷第2期页码：124-131
- 作者机构：
  
  1. 西安交通大学机械制造系统工程国家重点实验室,西安,710049
  2. 西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2015-05-06。作者简介: 郭晓辉(1987—),男,硕士生;王晶(通信作者),男,副教授,博士生导师。基金项目: 国家“863计划”资助项目(SQ2013GX03D00128);“香江学者”人才计划资助项目(XJ2013045);中国博士后科学基金资助项目(2014M552431)
- DOI：10.7652/xjtuxb201602021
  中图分类号： R318.6;TP391
- 网络首发：2016-02-10，
  
  纸质出版：2016
- 稿件说明：
移动端阅览
郭晓辉 1, 王晶 1, 杨扬 1, 等. 基于虚拟现实的下肢主被动康复训练系统研究[J]. 西安交通大学学报, 2016,50(2):124-131.

Active and Passive Training System of Lower Limb Rehabilitation Based on Virtual Reality[J]. 2016, 50(2): 124-131.
郭晓辉 1, 王晶 1, 杨扬 1, 等. 基于虚拟现实的下肢主被动康复训练系统研究[J]. 西安交通大学学报, 2016,50(2):124-131. DOI： 10.7652/xjtuxb201602021.

Active and Passive Training System of Lower Limb Rehabilitation Based on Virtual Reality[J]. 2016, 50(2): 124-131. DOI： 10.7652/xjtuxb201602021.

摘要

针对传统下肢康复训练中病人参与度低、无法产生主动运动意图等问题

设计实现了基于虚拟现实的下肢康复训练系统。基于大脑镜像神经元和神经可塑性理论

利用Matlab和Labview等软件实现数据实时通信与反馈处理

结合虚拟现实场景建模和动画脚本编辑的方法

通过3D视觉和听觉等效果作用于患者神经中枢

形成信息传递的封闭回路

以实现对受损神经中枢的主被动协同刺激

激发大脑运动区镜像神经元

强化自主运动意图。研究结果表明

该系统能辅助患者完成主被动模式下的康复训练

并在训练中为患者提供深度虚拟环境的视觉交互

大大增强了康复训练中对受损神经中枢的刺激

提高了患者的训练效率和积极主动性。该技术在神经中枢损伤的康复领域有一定的应用前景。

Abstract

Aiming at the problems such as low participation in the traditional lower limb rehabilitation training and being unable to produce the active movement intention

a lower limb rehabilitation training system based on virtual reality is designed. Following the theories of human brain mirror neurons and neural plasticity

real-time data communication and feedback processing are realized with Matlab and Labview software. Combining with the method for virtual reality modeling and animation script editing and exerting effect on the patient central nervous system through 3D visual and auditory

a closed information transmission loop is constructed to achieve the active and passive synergistic stimulation of the damaged nerve center to stimulate the brain motor area of mirror neurons and to strengthen the independent movement intention. The results show that the system is able to assist patients to complete rehabilitation training of active and passive mode

and provides patients with the depth of the living environment of the virtual visual interaction

which greatly enhance the rehabilitation training for patients with damaged neural stimulation

and improve the training efficiency and positive initiative.

关键词

Keywords

references

吴兆苏, 姚崇华, 赵冬. 我国人群脑卒中发病率、死亡率的流行病学研究 [J]. 中华流行病学杂志, 2003, 24(3): 236-239.

WU Zhaosu, YAO Chonghua, ZHAO Dong. Research of epidemiology in stroke morbidity and mortality in China [J]. Chinese Journal of Epidemiology, 2003, 24(3): 236-239.

孙艳花, 张国华, 呼日勒. 我国脑血管病流行病学研究现状 [J]. 山东医药, 2014, 54(33): 98-100.

SUN Yanhua, ZHANG Guohua, HU Rile. The research status of cerebrovascular disease epidemiology in China [J]. Shandong Medical Journal, 2014, 54(33): 98-100.

胡鑫, 王振平, 王金超, 等. 脑卒中上肢康复训练机器人的研究进展与展望 [J]. 中国康复理论与实践, 2014, 20(10): 901-904.

HU Xin, WANG Zhenping, WANG Jinchao, et al. Progress and prospects of upper limb rehabilitation robot for stroke patients [J]. Chinese Journal of Rehabilitation Theory and Practice, 2014, 20(10): 901-904.

LUKAS Z, ALEXANDER D W, ANDREAS M, et al. Virtual reality and gait rehabilitation augmented feedback for the Lokomat [C]∥Proceedings of the IEEE Virtual Rehabilitation International Conference. Piscataway, NJ, USA: IEEE, 2009: 150-153.

张杰. 脑卒中瘫痪下肢外骨骼康复机器人的研究 [D]. 杭州: 浙江大学, 2007.

YAN Hua, YANG Canjun. Lower limb exoskeleton using recumbent cycling modality for post-stroke rehabilitation [M]∥Intelligent Robotics and Applications. Berlin, Germany: Springer, 2013: 284-294.

严华, 杨灿军. 轮椅式下肢运动康复训练外骨骼系统研究 [C]∥第七届全国康复医学工程和康复工程学术研讨会. 北京: 中国康复医学会, 2010: 89-94.

CAI L, CHAN J S, YAN J H, et al. Brain plasticity and motor practice in cognitive aging [J]. Frontiers in Aging Neuroscience, 2014, 6(2): 167-189.

ANTONINO C. Mirror neurons(and beyond)in the macaque brain: an overview of 20 years of research [J]. Neuroscience Letters, 2013, 540(6): 3-14.

张衍辉, 柴非, 王胜灵. 持续被动运动对脑卒中偏瘫患者股四头肌张力及下肢运动功能的疗效观察 [J]. 中国当代医药, 2014, 21(31): 34-36.

ZHANG Yanhui, CHAI Fei, WANG Shengling. Effect observation of continuous passive motion on quadriceps tension and lower limb movement function in patients with stroke hemiplegia [J]. China Modern Medicine, 2014, 21(31): 34-36.

李娴, 谢斌. 丰富环境与脑卒中康复 [J]. 中国康复理论与实践, 2012, 18(1): 47-52.

LI Xian, XIE Bin. Enriched environment and stroke rehabilitation [J]. Chinese Journal of Rehabilitation Theory and Practice, 2012, 18(1): 47-52.

张国庆. 丰富环境对于中枢神经系统可塑性的影响 [J]. 中国康复医学杂志, 2006, 21(3): 280-283.

ZHANG Guoqing. The effect of the rich environment on the plasticity of the central nervous system [J]. China Journal of Rehabilitation Medicine, 2006, 21(3): 280-283.

RIENER R, WELLNER M, NEF T, et al. A view on virtual reality-enhanced rehabilitation robotics [C]∥2006 International Workshop on Virtual Rehabilitation. Piscataway, NJ, USA: IEEE, 2006: 149-154.

CARDOSO L S, COSTA R, PIOVESANA A, et al. Using virtual environments for stroke rehabilitation [C]∥2006 International Workshop on Virtual Rehabilitation. Piscataway, NJ, USA: IEEE, 2006: 1-5.

JULIANA M, RODRIGUES B, LUCAS R, et al. Walking training associated with virtual reality-based training increases walking speed of individuals with chronic stroke systematic review with meta analysis [J]. Systematic Review, 2014, 18(6): 502-512.

王亨, 王然, 卓子寒, 等. 虚拟现实技术概述及其用于辅助康复治疗的研究进展 [J]. 生命科学仪器, 2013, 11(8): 3-9.

WANG Heng, WANG Ran, ZHUO Zihan, et al. The overview of virtual reality and its progress in research on auxiliary rehabilitation treatment [J]. Life Science Instruments, 2013, 11(8): 3-9.

胡永善. 新编康复医学 [M]. 上海: 复旦大学出版社, 2005: 114.

周柳, 王英华, 刘强, 等. 虚拟现实技术在运动康复中的应用 [J]. 中国组织工程研究与临床康复, 2007, 11(5): 957-960.

ZHOU Liu, WANG Yinghua, LIU Qiang, et al. Application of virtual reality in motor rehabilitation [J]. Journal of Clinical Rehabilitative Tissue Engineering Research, 2007, 11(5): 957-960.

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