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Journal of Robotics
Volume 2013 (2013), Article ID 610589, 13 pages
http://dx.doi.org/10.1155/2013/610589
Research Article

Exoskeleton Technology in Rehabilitation: Towards an EMG-Based Orthosis System for Upper Limb Neuromotor Rehabilitation

1Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI), Robert-Hooke-Straße 5, Bremen, Germany
2Robotics Lab, University of Bremen, Robert-Hooke-Straße 5, Bremen, Germany

Received 19 July 2013; Accepted 14 October 2013

Academic Editor: Kazuhiko Terashima

Copyright © 2013 Luis Manuel Vaca Benitez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. Fuchs, “Demografischer wandel und notwendigkeit der priorisierung im gesundheitswesen. Positionsbestimmung der Ärzteschaft,” Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz, vol. 83, pp. 435–440, 2010. View at Google Scholar
  2. H. I. Krebs, J. J. Palazzolo, L. Dipietro et al., “Rehabilitation robotics: performance-based progressive robot-assisted therapy,” Autonomous Robots, vol. 15, no. 1, pp. 7–20, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. M. J. H. Lum, D. Trimble, J. Rosen et al., “Multidisciplinary approach for developing a new minimally invasive surgical robotic system,” in Proceedings of the 1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob '06), pp. 841–846, Tuscany, Italy, February 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. S. Hesse, H. Schmidt, C. Werner, and A. Bardeleben, “Upper and lower extremity robotic devices for rehabilitation and for studying motor control,” Current Opinion in Neurology, vol. 16, no. 6, pp. 705–710, 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. R. C. V. Loureiro, W. S. Harwin, K. Nagai, and M. Johnson, “Advanahces in upper limb stroke rehabilitation: a technology push,” Medical & Biological Engineering & Computing, vol. 49, no. 10, pp. 1103–1118, 2011. View at Google Scholar · View at Scopus
  6. H. Masur, “Sinnvoller einsatz von robotern in der neurorehabilitation—fiktion oder realität?” Deutsches Ärzteblatt, vol. 105, no. 18, p. 329, 2008. View at Publisher · View at Google Scholar
  7. T. Henze, “Moderne rehabilitation nach schlaganfall,” NeuroTransmitter, no. 10, pp. 59–67, 2007. View at Google Scholar
  8. E. A. Kirchner, J. C. Albiez, A. Seeland, M. Jordan, and F. Kirchner, “Towards assistive robotics for home rehabilitation,” in Proceedings of the 6th International Conference on Biomedical Electronics and Devices (BIODEVICES '13), pp. 168–177, SciTePress, Barcelona, Spain, 2013.
  9. L. M. V. Benitez, N. Will, M. Tabie, S. Schmidt, E. Kirchner, and J. Albiez, “An EMG-based assistive orthosis for upper limb rehabilitation,” in Proceedings of the International Conference on Biomedical Electronics and Devices (BIODEVICES '13), pp. 323–328, SciTePress, Barcelona, Spain, February 2013.
  10. C. Deaton, E. S. Froelicher, L. H. Wu, C. Ho, K. Shishani, and T. Jaarsma, “The global burden of cardiovascular disease,” European Journal of Cardiovascular Nursing, vol. 10, supplement 2, pp. S5–S13, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. S. J. Albert and J. Kesselring, “Neurorehabilitation of stroke,” Journal of Neurology, vol. 259, no. 5, pp. 817–832, 2012. View at Publisher · View at Google Scholar · View at Scopus
  12. J. H. Cauraugh and J. J. Summers, “Neural plasticity and bilateral movements: a rehabilitation approach for chronic stroke,” Progress in Neurobiology, vol. 75, no. 5, pp. 309–320, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Hesse, C. Werner, and J. Brocke, “Use of machines and robots in neuro rehabilitation expectations of the clinics,” Orthopädie-Technik, vol. 2, pp. 74–77, 2009. View at Google Scholar
  14. P. Frommelt and H. Lösslein, Neuro Rehabilitation, Springer, Berlin, Germany, 2010.
  15. H. C. Diener, W. Hacke, and M. Forsting, Eds., Schlaganfall, Georg Thieme, Berlin, Germany, 2004.
  16. K. Müller, C. M. Bütefisch, R. J. Seitz, and V. Hömberg, “Mental practice improves hand function after hemiparetic stroke,” Restorative Neurology and Neuroscience, vol. 25, no. 5-6, pp. 501–511, 2007. View at Google Scholar · View at Scopus
  17. J. H. Morris, F. van Wijck, S. Joice, S. A. Ogston, I. Cole, and R. S. MacWalter, “Bilaterales oder unilaterales training der oberen extremität nach schlaganfall? Eine randomisierte kontrollierte studie,” Physioscience, vol. 4, no. 4, pp. 194–195, 2008. View at Publisher · View at Google Scholar
  18. C. J. Winstein, D. K. Rose, S. M. Tan, R. Lewthwaite, H. C. Chui, and S. P. Azen, “A randomized controlled comparison of upper-extremity rehabilitation strategies in acute stroke: a pilot study of immediate and long-term outcomes,” Archives of Physical Medicine and Rehabilitation, vol. 85, no. 4, pp. 620–628, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Dohle, J. Püllen, A. Nakaten, J. Küst, C. Rietz, and H. Karbe, “Mirror therapy promotes recovery from severe hemiparesis: a randomized controlled trial,” Neurorehabilitation and Neural Repair, vol. 23, no. 3, pp. 209–217, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. B. R. Brewer, S. K. McDowell, and L. C. Worthen-Chaudhari, “Poststroke upper extremity rehabilitation: a review of robotic systems and clinical results,” Topics in Stroke Rehabilitation, vol. 14, no. 6, pp. 22–44, 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. L. Pignolo, “Robotics in neuro-rehabilitation,” Journal of Rehabilitation Medicine, vol. 41, no. 12, pp. 955–960, 2009. View at Publisher · View at Google Scholar · View at Scopus
  22. G. B. Prange, M. J. A. Jannink, C. G. M. Groothuis-Oudshoorn, H. J. Hermens, and M. J. Ijzerman, “Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke,” Journal of Rehabilitation Research and Development, vol. 43, no. 2, pp. 171–184, 2006. View at Publisher · View at Google Scholar · View at Scopus
  23. S. Hesse, J. Mehrholz, and C. Werner, “Roboter—und gerätegestützte rehabilitation nach schlaganfall,” Deutsches Ärzteblatt, vol. 105, no. 18, pp. 330–336, 2008. View at Publisher · View at Google Scholar
  24. S. J. Housman, K. M. Scott, and D. J. Reinkensmeyer, “A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis,” Neurorehabilitation and Neural Repair, vol. 23, no. 5, pp. 505–514, 2009. View at Publisher · View at Google Scholar · View at Scopus
  25. T. Nef, G. Colombo, and R. Riener, “ARMin—robot for movement therapy of the upper extremities,” Automatisierungstechnik, vol. 53, no. 12, pp. 597–606, 2005. View at Google Scholar
  26. N. Hogan, H. I. Krebs, J. Charnnarong, P. Srikrishna, and A. Sharon, “MIT-MANUS: a workstation for manual therapy and training. I,” in Proceedings of the IEEE International Workshop on Robot and Human Communication (ROMAN '92), pp. 161–165, Tokyo, Jaban, September 1992. View at Publisher · View at Google Scholar
  27. P. S. Lum, M. Van der Loos, P. Shor, and C. G. Burgar, “A robotic system for upper-limb exercises to promote recovery of motor function following stroke,” in Proceedings of the International Conference on Rehabilitation Robotics (ICORR '99), Stanford University, 1999.
  28. A. Mayr, M. Kofler, and L. Saltuari, “ARMOR: an electromechanical robot for upper limb training following stroke. A prospective randomised controlled pilot study,” Handchirurgie Mikrochirurgie Plastische Chirurgie, vol. 40, no. 1, pp. 66–73, 2008. View at Publisher · View at Google Scholar · View at Scopus
  29. G. Kwakkel, B. J. Kollen, and H. I. Krebs, “Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review,” Neurorehabilitation and Neural Repair, vol. 22, no. 2, pp. 111–121, 2008. View at Publisher · View at Google Scholar · View at Scopus
  30. T. Nef, M. Mihelj, G. Kiefer, C. Perndl, R. Müller , and R. Riener, “ARMin—exoskeleton for arm therapy in stroke patients,” in Proceedings of the IEEE 10th International Conference on Rehabilitation Robotics (ICORR '07), pp. 68–74, Noordwijk, Netherlands, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  31. S. J. Housman, V. Le, T. Rahman, R. J. Sanchez Jr., and D. J. Remkensrneyer, “Arm-training with T-WREX after chronic stroke: preliminary results of a randomized controlled trial,” in Proceedings of the IEEE 10th International Conference on Rehabilitation Robotics (ICORR '07), pp. 562–568, Noordwijk, Netherlands, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  32. G. B. Prange, M. J. A. Jannink, A. H. A. Stienen, H. Van Der Kooij, M. J. Ijzerman, and H. J. Hermens, “Influence of gravity compensation on muscle activation patterns during different temporal phases of arm movements of stroke patients,” Neurorehabilitation and Neural Repair, vol. 23, no. 5, pp. 478–485, 2009. View at Publisher · View at Google Scholar · View at Scopus
  33. H. I. Krebs, B. T. Volpe, D. Williams et al., “Robot-aided neurorehabilitation: a robot for wrist rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 3, pp. 327–335, 2007. View at Publisher · View at Google Scholar · View at Scopus
  34. J. Stein, K. Narendran, J. McBean, K. Krebs, and R. Hughes, “Electromyography-controlled exoskeletal upper-limb-powered orthosis for exercise training after stroke,” American Journal of Physical Medicine and Rehabilitation, vol. 86, no. 4, pp. 255–261, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. L. Marchal-Crespo and D. J. Reinkensmeyer, “Review of control strategies for robotic movement training after neurologic injury,” Journal of NeuroEngineering and Rehabilitation, vol. 6, no. 20, 2009. View at Publisher · View at Google Scholar · View at Scopus
  36. A. Jackson, R. Culmer, S. Makower et al., “Initial patient testing of iPAM—a robotic system for Stroke rehabilitation,” in Proceedings of the IEEE 10th International Conference on Rehabilitation Robotics (ICORR '07), pp. 250–256, Noordwijk, Netherlands, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  37. T. Rahman, W. Sample, R. Seliktar et al., “Design and testing of a functional arm orthosis in patients with neuromuscular diseases,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 2, pp. 244–251, 2007. View at Publisher · View at Google Scholar · View at Scopus
  38. B. Schmitz, R. Wiegand, Ch. Pylatiuk, R. Rupp, and St. Schulz, “Erste erfahrungen mit dem orthojacket,” Orthopädie-Technik, vol. 4, no. 11, pp. 256–261, 2011. View at Google Scholar
  39. E. Rocon, J. M. Belda-Lois, A. F. Ruiz, M. Manto, J. C. Moreno, and J. L. Pons, “Design and validation of a rehabilitation robotic exoskeleton for tremor assessment and suppression,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 3, pp. 367–378, 2007. View at Publisher · View at Google Scholar · View at Scopus
  40. M. DiCicco, L. Lucas, and Y. Matsuoka, “Comparison of control strategies for an EMG controlled orthotic exoskeleton for the hand,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '04), pp. 1622–1627, New Orleans, La, USA, May 2004. View at Scopus
  41. J. Rosen and J. C. Perry, “Upper limb powered exoskeleton,” International Journal of Humanoid Robotics, vol. 4, no. 3, pp. 529–548, 2007. View at Publisher · View at Google Scholar · View at Scopus
  42. E. E. Cavallaro, J. Rosen, J. C. Perry, and S. Burns, “Real-time myoprocessors for a neural controlled powered exoskeleton arm,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 11, pp. 2387–2396, 2006. View at Publisher · View at Google Scholar · View at Scopus
  43. F. Le, I. Markovsky, C. Freeman, and E. Rogers, “Online identification of electrically stimulated muscle models,” in Proceedings of the American Control Conference (ACC '11), pp. 90–95, San Francisco, Calif, USA, July 2011. View at Scopus
  44. M. Folgheraiter, E. A. Kirchner, A. Seeland et al., “A multimodal brain-arm interface for operation of complex robotic systems and upper limb motor recovery,” in Proceedings of the International Conference on Biomedical Electronics and Devices (BIODEVICES '11), pp. 150–162, Rome, Italy, January 2011. View at Scopus
  45. D. Tsetserukou, K. Sato, and S. Tachi, “ExoInterfaces: novel exosceleton haptic interfaces for virtual reality, augmented sport and rehabilitation,” in Proceedings of the 1st Augmented Human International Conference (AH '10), H. Saito, J.-M. Seigneur, G. Moreau, and P. Mistry, Eds., April 2010. View at Publisher · View at Google Scholar · View at Scopus
  46. J. Rosen, M. Brand, M. B. Fuchs, and M. Arcan, “A myosignal-based powered exoskeleton system,” IEEE Transactions on Systems, Man, and Cybernetics Part A, vol. 31, no. 3, pp. 210–222, 2001. View at Publisher · View at Google Scholar · View at Scopus
  47. D. S. Andreasen, S. K. Allen, and D. A. Backus, “Exoskeleton with EMG based active assistance for rehabilitation,” in Proceedings of the IEEE 9th International Conference on Rehabilitation Robotics (ICORR '05), pp. 333–336, July 2005. View at Publisher · View at Google Scholar · View at Scopus
  48. D. W. Robinson, Design and analysis of series elasticity in closed-loop actuator force control [Ph.D. thesis], Massachusetts Institute of Technology (MIT), Cambridge, Mass, USA, 2000.
  49. M. Tabie and E. A. Kirchner, “EMG onset detection—comparison of different methods for a movement prediction task based on EMG,” in Proceedings of the 6th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS '13), I. S. Alvarez, J. Solé-Casals, A. Fred, and H. Gamboa, Eds., pp. 242–247, SciTePress, Barcelona, Spain, February 2013.
  50. I. Landau and G. Zito, Digital Control Systems, Springer, Berlin, Germany, 2006.
  51. M. Folgheraiter, M. Jordan, L. M. V. Benitez et al., “Development of a low-pressure fluidic servovalve for wearable haptic interfaces and lightweight robotic systems,” in Informatics in Control, Automation and Robotics, J. Filipe, J. A. Cetto, and J.-L. Ferrier, Eds., vol. 89 of Lecture Notes in Electrical Engineering, pp. 239–253, Springer, Berlin, Germany, 2011. View at Publisher · View at Google Scholar