基于虚拟现实技术的下肢康复评估系统的开发

Shihui Shen, Chang Gao, Yong Zhao, Haojian Lu, Yajin Shen, Chunbao Wang, T. Sun, Quanquan Liu, Q. Shi, J. Long, Yulong Wang, Zhengzhi Wu, J. Qin, Weiguang Li, M. Zecca, A. Takanishi
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引用次数: 2

摘要

如今,随着世界老年人口比例的发展,人口老龄化带来的几个问题逐渐进入人们的视野。偏瘫是困扰绝大多数老年人的最大问题之一,这促使物理治疗师蓬勃发展。然而,这些传统的物理治疗方法主要依靠物理治疗师的技能。为了弥补传统方法的缺陷,许多研究小组开发了各种用于下肢康复训练的机器人,但大多数只能实现被动训练,不能有效地根据患者的个体情况进行康复训练,也没有一个康复评估系统来有效地评估偏瘫患者的实时训练情况。为了解决上述问题,本文提出了一种基于虚拟现实技术的下肢康复评估系统。该系统具有易于观察的人机交互界面,医生可以根据该下肢康复评估系统针对不同康复阶段的不同患者调整康复训练。与现有技术相比,该新型下肢康复评估系统有望在医疗康复机器人领域产生重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of lower limb rehabilitation evaluation system based on virtual reality technology
Nowadays, with the development of the proportion of the elderly population in the world, several problems caused by the population aging gradually into people's horizons. One of the biggest problems plagued the vast majority of the elderly is hemiplegia, which leads to the vigorous development of the physical therapists. However, these traditional methods of physical therapy mainly rely on the skill of the physical therapists. In order to make up the defects of traditional methods, many research groups have developed different kinds of robots for lower limb rehabilitation training but most of them can only realize passive training which cannot adopt rehabilitation training based on the patients' individual condition effectively and they do not have a rehabilitation evaluation system to assess the real time training condition of the hemiplegic patients effectively. In order to solve the problems above, this paper proposed a lower limb rehabilitation evaluation system which is based on the virtual reality technology. This system has an easy observation of the human-computer interaction interface and the doctor is able to adjust the rehabilitation training direct at different patients in different rehabilitation stage based on this lower limb rehabilitation evaluation system. Compared with current techniques, this novel lower limb rehabilitation evaluation system is expected to have significant impacts in medical rehabilitation robot field.
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