Adaptive control of a wearable exoskeleton for upper-extremity neurorehabilitation

Applied Bionics and Biomechanics

Volumn 9, Issue 1, 2012, Pages 99-115

  Balasubramanian, Sivakumar ^a   He, Jiping ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

active assist therapy; adaptive assistance; robot assisted neurorehabilitation; Stroke; wearable exoskeleton

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; NEUROMUSCULAR REHABILITATION; ROBOTS;

ACTIVE-ASSIST THERAPY; ADAPTIVE ASSISTANCE; NEUROREHABILITATION; STROKE; WEARABLE EXOSKELETON;

ROBOTICS;

EID: 84858410882     PISSN: 11762322     EISSN: 17542103     Source Type: Journal    
DOI: 10.3233/ABB-2011-0041     Document Type: Article

References (18)

1. S. Balasubramanian, J. Klein and E. Burdet, Robot-assisted rehabilitation of hand function, Curr Opin Neurol 23(6) (2010), 661-670.
2. B.R. Brewer, S.K. McDowell and L.C. Worthen-Chaudhari, Poststroke upper extremity rehabilitation: A review of robotic systems and clinical results, Top Stroke Rehabil 14(6) (2007), p. 22-44.
3. D.J. Reinkensmeyer, et al., Emerging Technologies for Improving Access to Movement Therapy following Neurologic Injury, in Emerging and Accessible Telecommunications, Information and Healthcare Technologies-Emerging Challenges in Enabling Universal Access, Anonymous, Editor. (2002), IEEE Press.
4. R. Riener, T. Nef and G. Colombo, Robot-aided neurorehabilitation of the upper extremities, Med Biol Eng Comput 43(1) (2005), p. 2-10.
5. H.I. Krebs, et al., Robot-aided neurorehabilitation, IEEE Transactions on Rehabilitation Engineering 6(1) (1998), 75-87.
6. D.J. Reinkensmeyer, et al., Design of robot assistance for arm movement therapy following stroke, Advanced Robotics 14(7) (2000), p. 625-637.
7. C.D. Takahashi, et al., Robot-based hand motor therapy after stroke, Brain 131(Pt 2) (2008), 425-437.
8. J.L. Patton and F.A. Mussa-Ivaldi, Robot-assisted adaptive training: Custom force fields for teaching movement patterns, IEEE Trans Biomed Eng 51(4) (2004), p. 636-646.
9. T.G. Sugar, et al., Design and Control of RUPERT: A device for Robotic upper extremity repetitive therapy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 15(3) (2007), p. 336-346.
10. F. Daerden and D. Lefeber, Pneumatic artificial muscles: Actuators for robotics and automation, European journal of Mechanical and Environmental Engineering 47 (2000), p. 10-21.
11. E.T. Wolbrecht, et al., Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation, IEEE Transactions on Neural Systems and Rehabilitation Engineering 16(3) (2008), p. 286-297.
12. L.E. Kahn, W.Z. Rymer and D.J. Reinkensmeyer, Adaptive assistance for guided force training in chronic stroke, Conf Proc IEEE Eng Med Biol Soc 4 (2004), p. 2722-2725.
13. H.I. Krebs, et al., Rehabilitation Robotics: Performance-based progressive Robot-assisted therapy, Autonomous Robots, 15(1) (2003), 7-20.
14. L. Masia, et al., Performance adaptive training control strategy for recovering wrist movements in stroke patients: A preliminary, feasibility study, J Neuroeng Rehabil 6 (2009), p. 44.
15. L.E. Kahn, et al., Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: A randomized controlled pilot study, J Neuroeng Rehabil 3 (2006), p. 12.
16. L. Marchal-Crespo and D.J. Reinkensmeyer, Review of control strategies for robotic movement training after neurologic injury, J Neuroeng Rehabil 6 (2009), p. 20.
17. T. Flash and N. Hogan, The coordination of arm movements: An experimentally confirmed mathematical model, The Journal of Neuroscience: The official journal of the Society for Neuroscience 5(7) (1985), 1688-1703.
18. D.A. Bristow, M. Tharayil and A.G. Alleyne, A survey of iterative learning control. Control Systems Magazine, IEEE 26(3) (2006), p. 96-114.