Upper Limb Rehabilitation Game System Based on Somatosensory Technique: Assessment Module

  • HAN Zhi-feng ,
  • CAO Lei ,
  • YANG Wen-lu ,
  • JIA Jie ,
  • XIA Bin
Expand
  • 1. Department of Electronic Engineering, Shanghai Maritime University, Shanghai 201306, China;
    2. Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai 200040, China

Received date: 2017-03-12

  Online published: 2017-12-10

Abstract

Objective To develop a upper limb motor function rehabilitation system based on somatosensory interaction technique, and test the work of assessment module.Methods A 3D rehabilitation game system was developed based on the skeletal tracking of Kinect and Unity3D. Five subjects were trained with four actions commonly used for upper limb rehabilitation with the trajectory guidance or without, and were evaluated with the system.Results The scores of all the actions were more with the trajectory guidance than without.Conclusion Upper limb rehabilitation training game system has been developed based on Kinect, which can guide patients for rehabilitation training through trajectory guidance and assess the outcome of rehabilitation quantitatively.

Cite this article

HAN Zhi-feng , CAO Lei , YANG Wen-lu , JIA Jie , XIA Bin . Upper Limb Rehabilitation Game System Based on Somatosensory Technique: Assessment Module[J]. Chinese Journal of Rehabilitation Theory and Practice, 2017 , 23(11) : 1341 -1345 . DOI: 10.3969/j.issn.1006-9771.2017.11.021

References

[1] 陈彤,尹岭,李小鹰,等. 老年人群脑卒中现患率及危险因素调查[J]. 中华老年心脑血管病杂志, 2003, 5(3): 168-170.
[2] 金玲,张通,赵军. 虚拟现实康复技术对脑卒中患者上肢运动功能恢复的研究进展[J]. 中国康复理论与实践, 2014, 20(10): 905-907.
[3] Proffitt R, Lange B. Considerations in the efficacy and effectiveness of virtual reality interventions for stroke rehabilitation: moving the field forward [J]. Phys Ther, 2015, 95(3): 441-448.
[4] Tsekleves E, Paraskevopoulos IT, Warland A, et al. Development and preliminary evaluation of a novel low cost VR-based upper limb stroke rehabilitation platform using Wii technology [J]. Disabil Rehabil Assist Technol, 2016, 11(5): 413-422.
[5] 王宏图. 虚拟现实技术在脑卒中运动康复中的应用现状[J]. 中国康复理论与实践, 2014, 20(10): 911-915.
[6] Ustinova KI, Leonard WA, Cassavaugh ND, et al. Development of a 3D immersive videogame to improve arm-postural coordination in patients with TBI [J]. J Neuroeng Rehabil, 2011, 8(61): 1-11.
[7] Da Gama A, Fallavollita P, Teichrieb V, et al. Motor rehabilitation using Kinect: a systematic review [J]. Games Health, 2015, 4(2): 123-135.
[8] 王玉龙. 康复功能评定学[M]. 北京:人民卫生出版社, 2013: 12-380.
[9] Geerse DJ, Coolen BH, Roerdink M. Kinematic validation of a Multi-Kinect V2 instrumented 10-meter walkway for quantitative gait assessments [J]. PLoS One, 2015, 10(10): e0139913.
[10] Norouzi-Gheidari N, Levin MF, Fung J, et al. Interactive virtual reality game-based rehabilitation for stroke patients [C]. International Conference on Virtual Rehabilitation, IEEE, 2013: 220-221.
[11] Meadmore KL, Exell TA, Hallewell E, et al. The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study [J]. J Neuroeng Rehabil, 2014, 11: 105.
[12] Wang S, Mao Z, Zeng C, et al. A new method of virtual reality based on Unity3D [C]. International Conference on Geoinformatics, IEEE Xplore, 2010: 1-5.
[13] 瞿畅,丁晨,王君泽,等. 基于Kinect体感交互技术的上肢关节活动度测量方法[J]. 中国生物医学工程学报, 2014, 33(1): 16-21.
[14] Almeida JE, Pinheiro NJJT, Faria BM, et al. Serious games for the Elicitation of way-finding behaviours in emergency situations [C]. Information Systems and Technologies, IEEE, 2014: 1-7.
[15] 胡永善,吴毅,朱玉连,等. 规范三级康复治疗促进脑卒中偏瘫患者综合功能康复的临床研究[J]. 中国康复医学杂志, 2004, 19(6): 418-421.
[16] 李晓英. Brunnstrom康复训练程序在脑卒中患者中的应用[J]. 井冈山医专学报, 2005, 12(4): 90-91.
[17] 王红星,王彤,陈旗,等. 三级康复干预对脑卒中偏瘫患者肌张力影响的动态分析[J]. 中国康复医学杂志, 2006, 21(9): 807-810.
[18] 蓝箭,孙娟,杨裕炳,等. 基于Kinect骨骼追踪的控制方法的研究[J]. 仪表技术, 2014(8): 20-22.
[19] Clark RA, Bower KJ, Mentiplay BF, et al. Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables [J]. J Biomech, 2013, 46(15): 2722-2725.
[20] Steinisch M, Tana MG, Comani S. A post-stroke rehabilitation system integrating robotics, VR and high-resolution EEG imaging [J]. IEEE Trans Neural Syst Rehabil Eng, 2013, 21(5): 849-859.
[21] Holden MK. Virtual environments for motor rehabilitation: review [J]. Cyberpsychol Behav, 2005, 8(3): 187-211.
[22] Broeren J, Claesson L, Goude D, et al. Virtual rehabilitation in an activity centre for community-dwelling persons with stroke. The possibilities of 3-dimensional computer games [J]. Cerebrovasc Dis, 2008, 26(3): 289-296.
[23] Jaffe DL, Brown DA, Pierson-Carey CD, et al. Stepping over obstacles to improve walking in individuals with poststroke hemiplegia [J]. J Rehabil Res Dev, 2004, 41(3A): 283-292.
[24] Chang YJ, Chen SF, Huang JD. A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities [J]. Res Dev Disabil, 2011, 32(6): 2566-2570.
[25] Kitsunezaki N, Adachi E, Masuda T, et al. KINECT applications for the physical rehabilitation [C]. IEEE International Symposium on Medical Measurements and Applications Proceedings, IEEE, 2013: 294-299.
Outlines

/

〈 〉