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RETRACTED ARTICLE: Cascade controller design and stability analysis in FES-aided upper arm stroke rehabilitation robotic system

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This article was retracted on 05 October 2015

Abstract

A three-dimensional stroke rehabilitation system is studied which combines the functional electrical stimulation (FES) with a robotic support to provide assistance to stroke patients who are required to perform upper extremity trajectory-tracking exercises with their residual voluntary efforts. When not enough voluntary efforts can be supplied, FES-based assistance is provided by applying electrical stimulation to the actuated muscles. In order to realize more rapid and accurate control of trajectory tracking, a new cascade control scheme is developed for the combined muscle and supported arm system. The stability of the cascade-controlled system and the internal stability of the unactuated dynamics are rigorously studied. The parameter optimal iterative learning control is then employed to further improve the trajectory-tracking accuracy of the cascade-based robotic system. Performance evaluation results confirm the effectiveness of the proposed method for upper arm trajectory-tracking-oriented stroke rehabilitation.

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References

  1. Van der Putten, J.J.M.F., Hobart, J.C., Freeman, J.A., Thompson, A.J.: Measuring change in disability after inpatient rehabilitation: comparison of the responsiveness of the barthel index and the functional independence measure. J. Neurol. Neurosurg. Psychiatry 66, 480–484 (1999)

    Article  Google Scholar 

  2. Hughes, A.M., Freeman, C., Burridge, J.H., Chappell, P.H., Lewin, P.L., Rogers, E.: Feasibility of iterative learning control mediated by functional electrical stimulation for reaching after stroke. Neurorehabil. Neural Repair 23, 559–568 (2009)

    Article  Google Scholar 

  3. Hendricks, H.T., van Limbeek, J., Geurts, A.C., Zwarts, M.J.: Motor recovery after stroke: a systematic review of the literature. Arch. Phys. Med. Rehab. 83, 1629–1637 (2002)

    Article  Google Scholar 

  4. National Audit Office: Reducing brain damage: faster access to better stroke care. HC 452 [Online]. http://www.nao.org.uk/publications/0506/reducing_brain_damage.aspx

  5. Krebs, H.I., Palazzolo, J.J., Dipietro, L., Volpe, B.T., Hogan, N.: Rehabilitation robotics: performance-based progressive robot-assisted therapy. Auton. Robots. 15, 7–20 (2003)

    Article  Google Scholar 

  6. Mohammad, M.F., Reza, B.: Impedance control of robots using voltage control strategy. Nonlinear Dyn. 74, 277–286 (2013)

    Article  MATH  Google Scholar 

  7. Colombo, R., Pisano, F., Micera, S., Mazzone, A., Delconte, C., Carrozza, M.C., Dario, P., Minuco, G.: Assessing mechanisms of recovery during robot-aided neurorehabilitation of the upper extremity. Neurorehabil. Neural Repair 22, 494–504 (2002)

  8. Freeman, C.T., Rogers, E., Hughes, A.M., Burridge, J.H., Meadmore, K.L.: Iterative learning control in health care: electrical stimulation and robotic-assisted upper-limb stroke rehabilitation. IEEE Control Syst. 32, 18–53 (2012)

    Article  MathSciNet  Google Scholar 

  9. de Kroon, J.R., van der Lee, J.H., Izerman, M.J., Lankhorst, G.J.: Therapeutic electrical stimulation to improve motor control and functional abilities of the upper extremity after stroke: a systematic review. Clin. Rehabil. 16, 350–360 (2002)

    Article  Google Scholar 

  10. Burridge, J.H., Ladouceur, M.: Clinical and therapeutic applications of neuromuscular stimulation: a review of current use and speculation into future developments. Neuromodulation 4, 147–154 (2001)

    Article  Google Scholar 

  11. Schmidt, R.A., Lee, T.D.: Motor Learning in Motor Control and Learning: A Behavioral Emphasis, Part 3. Human Kinetics, pp. 261–285. Human Kinetics Publishers, Champaign, IL (1999)

  12. Rushton, D.N.: Functional electrical stimulation and rehabilitation—an hypothesis. Med. Eng. Phys. 25, 75–78 (2003)

    Article  Google Scholar 

  13. Hunt, K.J., Munih, M., de Donaldson, N.: Feedback control of unsupported standing in paraplegia, part I: optimal control approach. IEEE Trans. Rehabil. Eng. 5, 331–340 (1997)

    Article  Google Scholar 

  14. Previdi, F., Schauer, T., Savaresi, S.M., Hunt, K.J.: Data-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach. IEEE Trans. Control Syst. Technol. 12, 176–182 (2004)

    Article  Google Scholar 

  15. Watanabe, T., Iibuchi, K., Kurosawa, K., Hoshimiya, N.: A method of multichannel PID control of two-degree-of-freedom wrist joint movements by functional electrical stimulation. Syst. Comput. Jpn. 34, 319–328 (2003)

    Google Scholar 

  16. Zhang, D., Guan, T.H., Widjaja, F., Ang, W.T.: Functional electrical stimulation in rehabilitation engineering: a survey. In: 1st International Convention on Rehabilitation Engineering and Assistive Technology, Singapore (2007)

  17. Baker, L.L., Mcneal, D.R., Benton, L.A., Bowman, B.R., Waters, R.L.: Neuromuscular Electrical Stimulation: A Practical Guide, 3rd edn. Rancho Los Amigos Medical Center, California, USA (1993)

  18. Bristow, D.A., Tharayil, M., Alleyne, A.G.: A survey of iterative learning control: a learning based method for high-performance tracking. IEEE Control Syst. 26, 96–114 (2006)

    Article  Google Scholar 

  19. Moore, K.L.: Iterative Learning Control for Deterministic Systems. Springer, Berlin (1992)

    Google Scholar 

  20. Freeman, C., Hughes, A.M., Burridge, J., Chappell, P., Lewin, P., Rogers, E.: Iterative learning control of FES applied to the upper extremity for rehabilitation. Control Eng. Pract. 17, 368–381 (2009)

    Article  Google Scholar 

  21. Freeman, C., Lewin, P.L., Rogers, E.: Further results on the experimental evaluation of iterative learning control algorithms for non-minimum phase plants. Int. J. Control 80, 569–582 (2006)

    Article  MathSciNet  Google Scholar 

  22. Freeman, C., Tong, D., Meadmore, K., Hughes, A., Rogers, E., Burridge, J.: FES based rehabilitation of the upper limb using input/output linearization and ILC. In: American Control Conference, Montreal, pp. 27–29 (2012)

  23. Xu, W.K., Chu, B., Rogers, E.: Cascade based iterative learning control of robotic-assisted upper extremity stroke rehabilitation. In: IEEE International Conference on Decision and Control, Florance, pp. 6688–6693 (2013)

  24. Xu, W., Chu, B., Rogers, E.: Iterative learning control for robotic-assisted upper limb stroke rehabilitation in the presence of muscle fatigue. Control Eng. Pract. 31, 63–72 (2014)

  25. Spong, M.W., Hutchinson, S., Vidyasagar, M.: Robot Dynamics and Control. Wiley, New York (2004)

    Google Scholar 

  26. Slotine, J.J., Li, W.P.: Applied Nonlinear Control. Prentice Hall, New Jersey (1991)

    MATH  Google Scholar 

  27. Lum, P.S., Burgar, C.G., Shor, P.C.: Evidence for improved muscle activation patterns after retraining of reaching movements with the MIME robotic system in subjects with post-stroke hemiparesis. IEEE Trans. Neural Syst. Rehabil. Eng. 12, 186–194 (2004)

    Article  Google Scholar 

  28. Baratta, R., Solomonow, M.: The dynamic response model of nine different skeletal muscles. IEEE Trans. Biomed. Eng. 37, 243–251 (1990)

    Article  Google Scholar 

  29. Le, F., Markovsky, I., Freeman, C.T., Rogers, E.: Identification of electrically stimulated muscle models of stroke patients. Control Eng. Pract. 18, 396–407 (2010)

    Article  Google Scholar 

  30. Freeman, C., Tong, D., Meadmore, K., Cai, Z., Rogers, E., Hughes, A.M., Burridge, J.H.: Phase-lead iterative learning control algorithms for functional electrical stimulation based stroke rehabilitation. Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng 225, 850–859 (2011)

    Article  Google Scholar 

  31. Sage, H.G., De Mathelin, M.F., Ostertag, E.: Robust control of robot manipulators: a survey. Int. J. Control 72, 1498–1522 (1999)

  32. Mohammad, M.F.: Nonlinear control of electrical flexible-joint robots. Nonlinear Dyn. 67, 2549–2559 (2012)

    Article  MATH  Google Scholar 

  33. Mohammad, R.S., Mohammad, H.K.: A particle swarm optimization approach for fuzzy sliding mode control for tracking the robot manipulator. Nonlinear Dyn. 74, 467–478 (2013)

    Article  MATH  Google Scholar 

  34. Xu, W.K., Cai, C.X., Zou, Y.: Neural-network-based robot time-varying force control with uncertain manipulator-environment system. Trans. Inst. Meas. Control (2014). doi:10.1177/0142331214528971. http://tim.sagepub.com/content/early/2014/04/17/0142331214528971.full.pdf+html

  35. Hassan, K.K.: Nonlinear systems. Prentice Hall, New Jersey (2002)

    MATH  Google Scholar 

  36. Isidori, A.: Nonlinear Control Systems. Springer, Berlin (1989)

    Book  MATH  Google Scholar 

  37. Owens, D.H., Hatonen, J.J., Daley, S.: Robust monotone gradient-based discrete-time iterative learning control. Int. J. Robust Nonlinear Control 19, 634–661 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  38. Owens, D.H., Hatonen, J.J.: Iterative learning control and optimization paradigm. Annu. Rev. Control 29, 57–70 (2005)

    Article  Google Scholar 

  39. Meadmore, K.L., Hughes, A.M., Freeman, C., Cai, Z., Tong, D., Burridge, J.H., Rogers, E.: Functional electrical stimulation mediated by iterative learning control and 3D robotics reduces motor impairment in chronic stroke. J. Neuroeng. Rehabil. 9, 32 (2012)

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Acknowledgments

The authors are grateful to the handling editor and reviewers for their valuable comments and suggestions. Prof. Eric Rogers, Dr. Chu Bing and Dr. Christopher Freeman at University of Southampton are highly appreciated for their stimulating discussions and judicious suggestions.

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Correspondence to Chenxiao Cai.

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The work has been supported by the National Natural Science Foundation of China under Grant Nos. 61174038, 61104064, 61170054 and Fundamental Research Funds for the Central Universities under Grant No. 30920140112005.

This article has been retracted by the Editor-in-Chief of Nonlinear Dynamics. The stability analysis, which comprises the three-page entirety of Section 4, is an equation-by-equation copy, included without credit or citation, of Section III.C of the paper "Freeman, Christopher, Tong, Daisy, Meadmore, Katie, Hughes, Ann-Marie, Rogers, Eric and Burridge, Jane (2012) FES based Rehabilitation of the Upper Limb using Input/Output Linearization and ILC. In, 2012 American Control Conference, Montréal, 27 - 29 Jun 2012. pp 4825-4830

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Xu, W., Cai, C. & Zou, Y. RETRACTED ARTICLE: Cascade controller design and stability analysis in FES-aided upper arm stroke rehabilitation robotic system. Nonlinear Dyn 79, 1099–1114 (2015). https://doi.org/10.1007/s11071-014-1726-1

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  • DOI: https://doi.org/10.1007/s11071-014-1726-1

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