Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation

被引:309
作者
Duschau-Wicke, Alexander [1 ,2 ,3 ]
von Zitzewitz, Joachim [1 ,3 ]
Caprez, Andrea [1 ,3 ,4 ]
Luenenburger, Lars [2 ]
Riener, Robert [1 ,2 ,3 ]
机构
[1] ETH, Dept Mech & Proc Engn, Inst Robot & Intelligent Syst, Sensory Motor Syst Lab, CH-8092 Zurich, Switzerland
[2] Hocoma AG, CH-8604 Volketswil, Switzerland
[3] Univ Zurich, Univ Hosp Balgrist, Spinal Cord Injury Ctr, CH-8008 Zurich, Switzerland
[4] ETH, Inst Biomech, CH-8092 Zurich, Switzerland
关键词
Control; gait rehabilitation; patient-cooperative; rehabilitation robotics; ASSISTED TREADMILL WALKING; SPINAL-CORD-INJURY; MUSCLE ACTIVATION; MOTION; STRATEGIES; LOCOMOTOR; PATTERNS; TRAINER; STROKE; LIMB;
D O I
10.1109/TNSRE.2009.2033061
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Gait rehabilitation robots are of increasing importance in neurorehabilitation. Conventional devices are often criticized because they are limited to reproducing predefined movement patterns. Research on patient-cooperative control strategies aims at improving robotic behavior. Robots should support patients only as much as needed and stimulate them to produce maximal voluntary efforts. This paper presents a patient-cooperative strategy that allows patients to influence the timing of their leg movements along a physiologically meaningful path. In this "path control" strategy, compliant virtual walls keep the patient's legs within a "tunnel" around the desired spatial path. Additional supportive torques enable patients to move along the path with reduced effort. Graphical feedback provides visual training instructions. The path control strategy was evaluated with 10 healthy subjects and 15 subjects with incomplete spinal cord injury. The spatio-temporal characteristics of recorded kinematic data showed that subjects walked with larger temporal variability with the new strategy. Electromyographic data indicated that subjects were training more actively. A majority of iSCI subjects was able to actively control their gait timing. Thus, the strategy allows patients to train walking while being helped rather than controlled by the robot.
引用
收藏
页码:38 / 48
页数:11
相关论文
共 35 条
[1]  
[Anonymous], JOINT M GERM AUSTR S
[2]  
[Anonymous], 1992, GAIT ANAL NORMAL PAT
[3]  
[Anonymous], 2006, LINEAR MIXED MODELS
[4]   A robot and control algorithm that can synchronously assist in naturalistic motion during body-weight-supported gait training following neurologic injury [J].
Aoyagi, Daisuke ;
Ichinose, Wade E. ;
Harkema, Susan J. ;
Reinkensmeyer, David J. ;
Bobrow, James E. .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2007, 15 (03) :387-400
[5]   Active Leg Exoskeleton (ALEX) for gait rehabilitation of motor-impaired patients [J].
Banala, Sai K. ;
Agrawal, Suni K. ;
Scholz, John P. .
2007 IEEE 10TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2007, :401-+
[6]   Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX) [J].
Banala, Sai K. ;
Kim, Seok Hun ;
Agrawal, Sunil K. ;
Scholz, John P. .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2009, 17 (01) :2-8
[7]   Implications of assist-as-needed robotic step training after a complete spinal cord injury on intrinsic strategies of motor learning [J].
Cai, Lance L. ;
Fong, Andy J. ;
Otoshi, Chad K. ;
Liang, Yongqiang ;
Burdick, Joel W. ;
Roy, Roland R. ;
Edgerton, V. Reggie .
JOURNAL OF NEUROSCIENCE, 2006, 26 (41) :10564-10568
[8]  
Colombo G, 2000, J REHABIL RES DEV, V37, P693
[9]   Walking index for spinal cord injury (WISCI II): scale revision [J].
Ditunno, PL ;
Dittuno, JF .
SPINAL CORD, 2001, 39 (12) :654-656
[10]   The evolution of walking-related outcomes over the first 12 weeks of rehabilitation for incomplete traumatic spinal cord injury: The multicenter randomized Spinal Cord Injury Locomotor Trial [J].
Dobkin, B. ;
Barbeau, H. ;
Deforge, D. ;
Ditunno, J. ;
Elashoff, R. ;
Apple, D. ;
Basso, M. ;
Behrman, A. ;
Harkema, S. ;
Saulino, M. ;
Scott, M. .
NEUROREHABILITATION AND NEURAL REPAIR, 2007, 21 (01) :25-35