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Title: Development of lower limb rehabilitation evaluation system based on virtual reality technology
Authors: Shen, Shihui
Gao, Chang
Zhao, Yong
Lu, Haojian
Shen, Yajing
Wang, Chunbao
Sun, Tongyang
Liu, Quanquan
Shi, Qing
Long, Jianjun
Wang, Yulong
Wu, Zhengzhi
Qin, Jian
Li, Weiguang
Zecca, Massimiliano
Takanishi, Atsuo
Issue Date: 2016
Publisher: © IEEE
Citation: SHEN, S. ... et al, 2016. Development of lower limb rehabilitation evaluation system based on virtual reality technology. Proceedings of the 2016 IEEE International Conference on Real-Time Computing and Robotics (RCAR 2016), Angkor Wat, Cambodia, 6th-10th June 2016, pp. 517-522.
Abstract: 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.
Description: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: Research supported by ITC Platform Research Projects 9440144, Shenzhen-Honkong Joint Research Project SGLH20150211093607169, and China Post-doctor Research Foundation 2015M580759.
Version: Accepted for publication
DOI: 10.1109/RCAR.2016.7784083
URI: https://dspace.lboro.ac.uk/2134/25946
Publisher Link: http://dx.doi.org/10.1109/RCAR.2016.7784083
ISBN: 9781467389594
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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