《中国康复理论与实践》 ›› 2019, Vol. 25 ›› Issue (5): 597-601.doi: 10.3969/j.issn.1006-9771.2019.05.019

• 康复工程与辅助技术 • 上一篇    下一篇

运动反馈虚拟现实四肢康复系统评估模块设计

王晓春1, 王俊华2   

  1. 1.广州中医药大学第五临床医学院,广东广州市 510405
    2.广东省第二中医院,广东广州市 510095
  • 收稿日期:2018-12-16 修回日期:2019-02-20 出版日期:2019-05-25 发布日期:2019-05-29
  • 通讯作者: 王俊华(1965-),男,主任医师、教授,硕士生导师,主要研究方向:智能神经康复技术。E-mail: junhuawang@qq.com
  • 作者简介:王晓春(1991-),女,汉族,广东梅州市人,硕士研究生,主要研究方向:智能神经康复技术。
  • 基金资助:
    广东省科技计划项目(No. 2017B020210009)

Evaluation Module for Motor Feedback Virtual Reality Rehabilitation System for Limbs

WANG Xiao-chun1, WANG Jun-hua2   

  1. 1.The Fifth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong 510405, China
    2.The Second Traditional Chinese Medicine Hospital of Guangdong, Guangzhou, Guangdong 510095, China
  • Received:2018-12-16 Revised:2019-02-20 Published:2019-05-25 Online:2019-05-29
  • Contact: WANG Jun-hua, E-mail: junhuawang@qq.com
  • Supported by:
    Guangdong Science and Technology Support Project (No. 2017B020210009)

摘要: 目的 设计一种自动监测与反馈训练表现、训练后自动评估与分析的智能康复评估系统。方法 通过上肢训练平台、下肢操作装置的传感器,实时记录关节活动度;通过虚拟现实系统实时判断患者肢体运动与虚拟运动目标、虚拟场景的互动情况;通过网络层次分析法建立权重比智能算法,获取训练表现的百分制评分,并自动分析。结果和 结论 设计出一种基于运动反馈虚拟现实四肢康复系统的智能康复评估方法,可实现患者康复训练表现的自动监测与即时反馈,并自动分析患者康复训练综合表现。

关键词: 运动反馈, 虚拟现实, 康复系统, 评估

Abstract: Objective To design an intelligent rehabilitation assessment system of automatic monitoring, feedback of rehabilitation training performance, automatic evaluation and analysis after training.Methods The sensor of the upper-limb and lower-limb training platform of the system recorded the range of motion in real time. The interaction of patients to the virtual targets and the virtual scene was obtained from the virtual reality system. The weight ratio algorithm was established by Analytic Network Process (ANP) to evaluate the performance after training.Results and Conclusion The evaluation module for an intelligent rehabilitation system based on motor feedback has been developed, which can realize the automatic monitoring and real-time feedback for patients during rehabilitation, and analysis of the comprehensive performance of the patients after training.

Key words: motor feedback, virtual reality, rehabilitation system, assessment

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