Interactive Compliance Control of a Wrist Rehabilitation Device (WReD) with Enhanced Training Safety

被引:13
作者
Xu, Dong [1 ]
Zhang, Mingming [2 ,3 ]
Xu, Han [1 ]
Fu, Jianming [4 ]
Li, Xiaolong [1 ]
Xie, Sheng Q. [5 ,6 ]
机构
[1] Tongji Zhejiang Coll, Auckland Tongji Med & Rehabil Equipment Res Ctr, Jiaxing, Peoples R China
[2] Southern Univ Sci & Technol, Dept Biomed Engn, Shenzhen, Peoples R China
[3] Huazhong Univ Sci & Technol, Key Lab Digital Mfg Equipment & Technol, Wuhan, Hubei, Peoples R China
[4] Second Hosp Jiaxing, Rehabil Med Ctr, Jiaxing, Peoples R China
[5] Univ Leeds, Sch Elect & Elect Engn, Leeds, W Yorkshire, England
[6] Qingdao Univ Technol, Inst Robot, Fac Engn, Qingdao, Peoples R China
关键词
UPPER-LIMB REHABILITATION; ROBOT; STROKE; THERAPY; SYSTEM; ARM;
D O I
10.1155/2019/6537848
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Interaction control plays an important role in rehabilitation devices to ensure training safety and efficacy. Compliance adaptation of interaction is vital for enabling robot movements to better suit the patient's requirements as human joint characteristics vary. This paper proposes an interactive compliance control scheme on a wrist rehabilitation device (WReD) for enhanced training safety and efficacy. This control system consists of a low-level trajectory tracking loop and a high-level admittance loop. Experiments were conducted with zero load and human interaction, respectively. Satisfactory trajectory tracking responses were obtained, with the normalized root mean square deviation (NRMSD) values being 1.08% with zero load and the NRMSD values no greater than 1.4% with real-time disturbance and interaction from human users. Results demonstrate that such an interactive compliance control method can adaptively adjust the range of training motions and encourage active engagement from human users simultaneously. These findings suggest that the proposed control method of the WReD has great potentials for clinical applications due to enhanced training safety and efficacy. Future work will focus on evaluating its efficacy on a large sample of participants.
引用
收藏
页数:10
相关论文
共 39 条
[1]  
[Anonymous], 1991, Process Systems Analysis and Control
[2]  
Caplan L.R., 2006, STROKE
[3]   A Kinect-based upper limb rehabilitation system to assist people with cerebral palsy [J].
Chang, Yao-Jen ;
Han, Wen-Ying ;
Tsai, Yu-Chi .
RESEARCH IN DEVELOPMENTAL DISABILITIES, 2013, 34 (11) :3654-3659
[4]   Robotic techniques for upper limb evaluation and rehabilitation of stroke patients [J].
Colombo, R ;
Pisano, F ;
Micera, S ;
Mazzone, A ;
Delconte, C ;
Carrozza, MC ;
Dario, P ;
Minuco, G .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2005, 13 (03) :311-324
[5]  
Faghihi Alireza, 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI). Proceedings, P447, DOI 10.1109/KBEI.2015.7436086
[6]  
Hogan N., 2009, AM CONTR C, P481
[7]   Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling [J].
Johnston, S. Claiborne ;
Mendis, Shanthi ;
Mathers, Colin D. .
LANCET NEUROLOGY, 2009, 8 (04) :345-354
[8]  
Khor KX, 2014, 2014 IEEE CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), P424, DOI 10.1109/IECBES.2014.7047535
[9]   Motor enrichment and the induction of plasticity before or after brain injury [J].
Kleim, JA ;
Jones, TA ;
Schallert, T .
NEUROCHEMICAL RESEARCH, 2003, 28 (11) :1757-1769
[10]   Robot-aided neurorehabilitation: A robot for wrist rehabilitation [J].
Krebs, Hermano Igo ;
Volpe, Bruce T. ;
Williams, Dustin ;
Celestino, James ;
Charles, Steven K. ;
Lynch, Daniel ;
Hogan, Neville .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2007, 15 (03) :327-335