《Chinese Journal of Rehabilitation Theory and Practice》 ›› 2021, Vol. 27 ›› Issue (4): 478-486.doi: 10.3969/j.issn.1006-9771.2021.04.014
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Yu WANG1,2,3,Xiang-dong WU1,Chang-cheng SHI2,3(),Jia-ji ZHANG2,3,Na LI2,3,Ye-hao MA2,3,Liang TAO4,Min TANG4,Guo-kun ZUO2,3
Received:
2020-08-21
Revised:
2020-11-19
Published:
2021-04-25
Online:
2021-04-20
Contact:
Chang-cheng SHI
E-mail:changchengshi@nimte.ac.cn
Supported by:
CLC Number:
Yu WANG,Xiang-dong WU,Chang-cheng SHI,Jia-ji ZHANG,Na LI,Ye-hao MA,Liang TAO,Min TANG,Guo-kun ZUO. Visual and Haptic Feedback Fusion Based on Force Tracking in Upper-limb Rehabilitation Robot System[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2021, 27(4): 478-486.
1 | 国家统计局. 中华人民共和国2019年国民经济和社会发展统计公报[J]. 中国统计, 2020(3): 8-22. |
National Bureau of Statistics. The People's Republic of China 2019 National Economic and Social Development Statistical Communique [J]. Chin Stat, 2020(3): 8-22. | |
2 | 中国脑卒中防治报告2019编写组. «中国脑卒中防治报告2019»概要[J]. 中国脑血管病杂志, 2020, 17(5): 272-281. |
China Stroke Prevention and Treatment Report2019Writing Group. Summary of "China Stroke Prevention and Treatment Report2019" [J]. Chin J Cerebrovasc Dis, 2020, 17(5): 272-281. | |
3 | 周慧琳,左国坤,施长城,等. 脑卒中患者上肢康复脑功能及其康复治疗技术[J]. 中国医学工程, 2017, 25(5): 28-33. |
Zhou H L, Zuo G K, Shi C C, et al. Brain function and rehabilita-tion therapies of upper limb rehabilitation in stroke patients [J]. Chin Med Eng, 2017, 25(5): 28-33. | |
4 | 王娜娜,路微波,吴毅,等 上肢康复机器人对脑卒中患者上肢功能及日常生活能力影响的研究进展[J]. 中华物理医学与康复杂志, 2017, 39(9): 706-708. |
Wang N N, Lu W B, Wu Y, et al. Application of robot-assisted upper limb rehabilitation for stroke(review) [J]. Chin J Phys Med Rehabil, 2017, 39(9): 706-708. | |
5 | 李宇淇,曾庆,黄国志. 上肢康复机器人在脑卒中的临床应用进展[J]. 中国康复理论与实践, 2020, 26(3): 310-314. |
Li Y Q, Zeng Q, Huang G Z. Application of robot-assisted upper limb rehabilitation for stroke (review) [J]. Chin J Rehabil Theory Pract, 2020, 26(3): 310-314. | |
6 | 胡宇川,季林红. 从医学角度探讨偏瘫上肢康复训练机器人的设计[J]. 中国组织工程研究, 2004, 8(34): 7754-7756. |
Hu Y C, Ji L H. Designing the rehabilitation training robot for hemiplegic upper-limb from the view of the medical science [J]. Chin J Tissue Res, 2004, 8(34): 7754-7756. | |
7 | 李雅楠,左国坤,崔志琴,等. 虚拟现实技术在康复训练中的应用进展[J]. 中国康复医学杂志, 2017, 32(9): 1091-1094. |
Li Y N, Zuo G K, Cui Z Q, et al. Application progress of virtual reality technology in rehabilitation training [J]. Chin J Rehabil Med, 2017, 32(9): 1091-1094. | |
8 | 李娜,崔志琴,施长城,等. 实时视觉轨迹反馈对上肢运动学习的影响[J]. 中国康复理论与实践, 2019, 25(2): 217-223. |
Li N, Cui Z Q, Shi C C, et al. Effect of real-time visual trajectory feedback on upper limb movement learning [J]. Chin J Rehabil Theory Pract, 2019, 25(2): 217-223. | |
9 | Sveistrup H. Motor rehabilitation using virtual reality [J]. J Neuroeng Rehabil, 2004, 1(1): 10-18. |
10 | 林佳丽,贾杰. 脑卒中后感觉训练在上肢及手功能康复中的研究进展[J]. 中国康复医学杂志, 2020, 35(4): 488-492. |
Lin J L, Jia J. Research progress of sensory training in rehabilitation of upper limbs and hands after strok [J]. Chin J Rehabil Med, 2020, 35(4): 488-492. | |
11 | Marchal-Crespo L, Rappo N, Riener R. The effectiveness of robotic training depends on motor task characteristics [J]. Exp Brain Res, 2017, 235(12): 3799-3816. |
12 | Wright Z A, Lazzaro E, Thielbar K O, et al. Robot training with vector fields based on stroke survivors' individual movement statistics [J]. IEEE Trans Neural Syst Rehabil Eng, 2018, 26(2): 307-323. |
13 | Majeed Y A, Awadalla S, Patton J L. Effects of robot viscous forces on arm movements in chronic stroke survivors: a randomized crossover study [J]. Res Square, 2020, 17(1): 156. |
14 | Lokesh R, Ranganathan R. Haptic assistance that restricts the use of redundant solutions is detrimental to motor learning [J]. IEEE Trans Neural Syst Rehabil Eng, 2020, 28(6): 1373-1380. |
15 | Di Diodato L M, Mraz R, Baker S N, et al. A haptic force feedback device for virtual reality-fMRI experiments [J]. IEE Trans Neural Syst Rehabil Eng, 2007, 15(4): 570-576. |
16 | Basalp E, Marchal-Crespo L, Rauter G, et al. Rowing simulator modulates water density to foster motor learning [J]. Front Robot AI, 2019, 6(24): 1-17. |
17 | Zitzewitz J V, Wolf P, Novakovic V, et al. Real-time rowing simulator with multimodal feedback [J]. Sports Tech, 2008, 1(6): 257-266. |
18 | Basalp E, Bachmann P, Gerig N, et al. Configurable 3D rowing model renders realistic forces on a simulator for indoor training [J]. Appl Sci, 2020, 10(3): 734 |
19 | Keller U, Van Hedel H J A, Klamroth-Marganska V, et al. ChARMin: the first actuated exoskeleton robot for pediatric arm rehabilitation [J]. IEEE ASME Trans Mechatron, 2016, 21(5): 2201-2213. |
20 | 李雅楠,左国坤,崔志琴,等. 上肢康复机器人建模与力反馈控制策略实验研究[J]. 制造业自动化, 2017, 39(5): 37-40. |
Li Y N, Zuo G K, Cui Z Q, et al. Upper-limb rehabilitation robot modeling and force feed back control research [J]. Manufacturing Automation, 2017, 39(5): 37-40. | |
21 | 李娜,崔志琴,左国坤,等. 基于末端牵引式康复机器人的定量化上肢运动功能评估研究[J]. 北京生物医学工程, 2018, 37(6): 581-588. |
Li N, Cui Z Q, Zuo G K, et al. Quantitative evaluation on upper limb motor function based on an end-effector rehabilitation robot [J]. Beijing Biomed Eng, 2018, 37(6): 581-588. | |
22 | Duan J J, Gan Y H, Chen M, et al. Adaptive variable impedance control for dynamic contact force tracking in uncertain environment [J]. Rob Auton Syst, 2018, 102: 54-65. |
23 | 王嘉津,左国坤,张佳楫,等. 腕功能康复机器人按需辅助控制策略研究[J]. 生物医学工程学杂志, 2020, 37(1): 129-135. |
Wang J J, Zuo G K, Zhang J J, et al. Research on assist-as-needed control strategy of wrist function-rehabilitation robot [J]. J Biomeical Eng, 2020, 37(1): 129-135. | |
24 | Lahr G J G, Soares J V R, Garcia H B, et al. Understanding the implementation of impedance control in industrial robots [C]. Proceedings of the 13rd Latin America Robotics Symposium, 2016. |
25 | Al-Shuka H F N, Leonhardt S, Zhu W H, et al. Active impedance control of bioinspired motion robotic manipulators: an overview [J]. Appl Bionics Biomech, 2018, 2018: 8203054. |
26 | 韩京清. 自抗扰控制技术[J]. 前沿科学, 2007(1): 25-32. |
Han J Q. Active disturbance rejection control technonlgy [J]. Frontier Science, 2007(1): 25-32. | |
27 | 韩京清. 从PID技术到"自抗扰控制"技术 [J]. 控制工程, 2002, 9(3): 13-18. |
Han J Q. From PID technology to ADRC technology [J]. Control Eng Chin, 2002, 9(3): 13-18. | |
28 | 马立,王敬萍,李丰甜,等. 精密定位系统的摩擦力建模与补 [J]. 光学精密工程, 2019, 27(1): 121-128. |
Ma L, Wang J P, Li F T, et al. Friction modeling and compensation of precision position system [J]. Optics Precision Eng, 2019, 27(1): 121-128. | |
29 | Guidali M, Keller U, Klamroth-Marganska V, et al. Estimating the patient's contribution during robot-assisted therapy [J]. J Rehabil Res Dev, 2013, 50(3): 379-393. |
30 | Bisoffi A, Da Lio M, Teel A R, et al. Global asymptotic stability of a PID control system with coulomb friction [J]. IEEE Trans Automat Contr, 2018, 63(8): 2654-2661. |
31 | Kim S. Moment of inertia and friction torque coefficient identification in a servo drive system [J]. IEEE Trans Ind Electron, 2019, 66(1): 60-70. |
32 | 丛爽, Alessandro D C. 两种补偿动态摩擦力的先进控制策略[J]. 自动化学报, 1998, 24(2): 236-240. |
Cong S, Alessandro D C. Two advanced control strategies for compensating dynamic friction [J]. Acta Automatica Sinica, 1998, 24(2): 236-240. | |
33 | Phinyomark A, Phukpattaranont P, Limsakul C. Feature reduction and selection for EMG signal classification [J]. Expert Syst Appl, 2012, 39(8): 7420-7431. |
34 | Farina D, Jiang N, Rehbaum H, et al. The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges [J]. IEEE Trans Neural Syst Rehabil Eng, 2014, 22(4): 797-809. |
35 | 何勇,施长城,左国坤,等. 训练轨迹对上肢肌肉协同的影响[J]. 北京生物医学工程, 2019, 38(5): 441-449. |
He Y, Shi C C, Zuo G K, et al. The effect of training trajectories on upper limb muscle synergy [J]. Beijing Biomed Eng, 2019, 38(5): 441-449. |
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