Skip to main content
Log in

Neurorobotic and hybrid management of lower limb motor disorders: a review

  • Special Issue - Review
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

A neurobot (NR) is a mechatronic wearable robot that can be applied to drive a paralyzed limb. Through the application of controllable forces, a NR can assist, replace, or retrain a certain motor function. Robotic intervention in rehabilitation of motor disorders has a potential to improve traditional therapeutic interventions. Because of its flexibility, repeatability and quantifiability, NRs have been more and more applied in neurorehabilitation. Furthermore, combination of NRs with functional electrical stimulation/therapy constitutes a trend to overcome a number of practical limitations to widespread the application of NRs in clinical settings and motor control studies. In this review, we examine the motor learning principles, robotic control approaches and novel developments from studies with NRs and hybrid systems, with a focus on rehabilitation of the lower limbs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Alon G, Levitt A, McCarthy P (2007) Functional electrical stimulation enhancement of upper extremity functional recovery during stroke rehabilitation: a pilot study. Neurorehabil Neural Repair 21(3):207

    Article  PubMed  Google Scholar 

  2. Alon G, Levitt A, McCarthy P (2008) Functional electrical stimulation (FES) may modify the poor prognosis of stroke survivors with severe motor loss of the upper extremity: a preliminary study. Am J Phys Med Rehabil 87(8)(8):627

    Google Scholar 

  3. Audu M, To C, Kobetic R, Triolo R (2010) Gait evaluation of a novel hip constraint orthosis with implication for walking in paraplegia. IEEE Trans Neural Syst Rehabil Eng 18(6):610–618. doi:10.1109/TNSRE.2010.2047594

    Google Scholar 

  4. Barbeau H, Visintin M (2003) Optimal outcomes obtained with body-weight support combined with treadmill training in stroke subjects. Arch Phys Med Rehabil 84(10):394

    Article  Google Scholar 

  5. Behrman AL, Harkema SJ (2000) Locomotor training after human spinal cord injury: a series of case studies. Phys Ther 80(7):688–700

    PubMed  CAS  Google Scholar 

  6. Brauer S, Barker R, Carson R (2006) Training-induced brain plasticity in stroke survivors with severe and chronic upper limb paresis as revealed with TMS. In: Society for Neuroscience Annual Meeting, vol 32. Neuroscience Society, Atlanta

  7. Cai LL, Fong AJ, Otoshi CK, Liang Y, Burdick JW, Roy RR, Edgerton VR (2006) Implications of assist-as-needed robotic step training after a complete spinal cord injury on intrinsic strategies of motor learning. J Neurosci 26(41):10,564–10,568

    Article  CAS  Google Scholar 

  8. Chae J, Sheffler L, Knutson J (2008) Neuromuscular electrical stimulation for motor restoration in hemiplegia. Top Stroke Rehabil 15(5):412–426

    Article  PubMed  Google Scholar 

  9. Chan M, Tong R, Chung K (2009) Bilateral upper limb training with functional electric stimulation in patients with chronic stroke. Neurorehabil Neural Repair 23(4):357

    PubMed  Google Scholar 

  10. Cramer S, Riley J (2008) Neuroplasticity and brain repair after stroke. Curr Opin Neurol 21:76

    Article  PubMed  Google Scholar 

  11. Creasey GH, Ho CH, Triolo RJ, Gater DR, DiMarco AF, Bogie KM, Keith MW (2004) Clinical applications of electrical stimulation after spinal cord injury. J Spinal Cord Med 27(4):365–375

    PubMed  Google Scholar 

  12. Curt A, Hedel HV, Klaus D, Dietz V, Group ESS (2008) Recovery from a spinal cord injury: significance of compensation, neural plasticity, and repair. J Neurotrauma 25(6):677–685

    Article  PubMed  Google Scholar 

  13. da Cunha IJ, Lim P, Qureshy H, Henson H, Monga T, Protas E (2002) Gait outcomes after acute stroke rehabilitation with supported treadmill ambulation training: a randomized controlled pilot study. Arch Phys Med Rehabil 83(9):1258–1265

    Article  PubMed  Google Scholar 

  14. Dietz V (2003) Spinal cord pattern generators for locomotion. Clin Neurophysiol 114(8):1379–1389

    Article  PubMed  CAS  Google Scholar 

  15. Dietz V, Colombo G, Jensen L (1994) Locomotor activity in spinal man. Lancet 334(8932):1260–1263

    Article  Google Scholar 

  16. Dietz V, Colombo G, Jensen L, Baumgartner L (1995) Locomotor capacity of spinal cord in paraplegic patients. Ann Neurol 37(5) (0364-5134 (Linking)), 555–556

    Google Scholar 

  17. Dollar AM, Herr H (2008) Lower extremity exoskeletons and active orthoses: challenges and state-of-the-art. IEEE Trans Robot 24(1):144–158

    Article  Google Scholar 

  18. Durfee W, Goldfarb M (1992) Design of a controlled-brake orthosis for regulating fes-aided gait. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society, vol 14, Baltimore, pp 1337–1338

  19. Durfee WK, Hausdorff JM (1990) Regulating knee joint position by combining electrical stimulation with a controllable friction brake. Ann Biomed Eng 18(6):575–596

    Article  PubMed  CAS  Google Scholar 

  20. Durfee WK, Rivard A (2005) Design and simulation of a pneumatic, stored-energy, hybrid orthosis for gait restoration. J Biomech Eng 127(6):1014–1019

    Article  PubMed  Google Scholar 

  21. Duschau-Wicke A, von Zitzewitz J, Caprez A, Lunenburger L, Riener R (2010) Path control: a method for patient-cooperative robot-aided gait rehabilitation. IEEE Trans Neural Syst Rehabil Eng 18(1):38–48

    Article  PubMed  Google Scholar 

  22. Duysens J (1998) Neural control of locomotion; part 1: the central pattern generator from cats to humans. Gait Posture 7(2):131–141. doi:10.1016/S0966-6362(97)00042-8. http://linkinghub.elsevier.com/retrieve/pii/S0966636297000428

  23. Eilenberg M, Geyer H, Herr H (2010) Control of a powered ankle-foot prosthesis based on a neuromuscular model. IEEE Trans Neural Syst Rehabil Eng 18(2):164–173

    Article  PubMed  Google Scholar 

  24. Emken JL, Bobrow JE, Reinkensmeyer DJ (2005) Robotic movement training as an optimization problem: designing a controller that assists only as needed. In: 9th international conference on rehabilitation robotics, ICORR 2005, Chicago, pp 307–312

  25. Emken J, Benitez R, Reinkensmeyer D (2007) Human-robot cooperative movement training: learning a novel sensory motor transformation during walking with robotic assistance-as-needed. J Neuroeng Rehabil 4(8)

  26. Farris RJ, Quintero HA, Withrow TJ, Goldfarb M (2009) Design and simulation of a joint-coupled orthosis for regulating fes-aided gait. In: IEEE international conference on robotics and automation, ICRA ’09, Kobe, pp 1916–1922

  27. Farris R, Quintero H, Withrow T, Goldfarb M (2009) Design of a joint-coupled orthosis for fes-aided gait. In: IEEE international conference on rehabilitation robotics, ICORR 2009, Kyoto, pp 246–252

  28. Feigin V, Lawes C, Bennett D, Barker-Collo S, Parag V (2009) Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol 8(4):355–369

    Article  PubMed  Google Scholar 

  29. Ferris DP, Gordon KE, Sawicki GS, Peethambaran A (2006) An improved powered ankle-foot orthosis using proportional myoelectric control. Gait Posture 23(4):425–428

    Article  PubMed  Google Scholar 

  30. Field-Fote E (2000) Spinal cord control of movement: implications for locomotor rehabilitation following spinal cord injury. Phys Ther 80(5):477–484

    PubMed  CAS  Google Scholar 

  31. Field-Fote EC (2001) Combined use of body weight support, functional electric stimulation, and treadmill training to improve walking ability in individuals with chronic incomplete spinal cord injury. Arch Phys Med Rehabil 82(6):818–824

    Article  PubMed  CAS  Google Scholar 

  32. Field-Fote E, Lindley S, Sherman A (2005) Locomotor training approaches for individuals with spinal cord injury: a preliminary report of walking-related outcomes. J Neurol Phys Ther 29(3):127–137

    PubMed  Google Scholar 

  33. Finch L, Barbeau H, Arsenault B (1991) Influence of body weight support on normal human gait: development of a gait retraining strategy. Phys Ther 71(11):855–856

    Google Scholar 

  34. Forrester LW, Roy A, Krebs HI, Macko RF (2010) Ankle training with a robotic device improves hemiparetic gait after a stroke. Neurorehabil Neural Repair pp. 1–9

  35. García S, Suárez S, Dávalo E, Castillo J (2008) Perspectiva histórica y aspectos epidemiológicos de la enfermedad de parkinson. Med Intern México 24(1)

  36. Gharooni S, Tokhi M, MO, Heller B (2000) The use of elastic element in a hybrid orthosis for swing phase generation in orthotic gait. In: Proceedings of the 5th annual conference on the international functional electrical stimulation society, Aalborg

  37. Gharooni S, Heller B, Tokhi M (2001) A new hybrid spring brake orthosis for controlling hip and knee flexion in the swing phase. IEEE Trans Rehabil Eng 9(1):106–107

    Article  CAS  Google Scholar 

  38. Goldfarb M, Durfee WK (1996) Design of a controlled-brake orthosis for fes-aided gait. IEEE Trans Rehabil Eng 4(1):13–24

    Article  PubMed  CAS  Google Scholar 

  39. Goldfarb M, Korkowski K, Harrold B, Durfee W (2003) Preliminary evaluation of a controlled-brake orthosis for fes-aided gait. IEEE Trans Neural Syst Rehabil Eng 11(3):241–248

    Article  PubMed  Google Scholar 

  40. Graupe D, Cerrel-Bazo H, Kern H, Carraro U (2008) Walking performance, medical outcomes and patient training in fes of innervated muscles for ambulation by thoracic-level complete paraplegics. Neurol Res 30(2):123–130

    Article  PubMed  Google Scholar 

  41. Herr H (2009) Exoskeletons and orthoses: classification, design challenges and future directions. J Neuroeng Rehabil 6(1):21

    Article  PubMed  Google Scholar 

  42. Hesse S, Bertelt C, Schaffrin A, Malezic, M, Mauritz K (1994) Restoration of gait in nonambulatory hemiparetic patients by treadmill training with partial body-weight support. Arch Phys Med Rehabil 75(10) (0003-9993 (Linking)):1087–1093

    Google Scholar 

  43. Hesse S, Bertelt C, Jahnke M, Schaffrin A, Baake P, Malezic M, Mauritz K (1995) Treadmill training with partial body weight support compared with physiotherapy in nonambulatory hemiparetic patients. Stroke 26(6):976

    Article  PubMed  CAS  Google Scholar 

  44. Hesse S, Werner C, Bardeleben A (2004) Electromechanical gait training with functional electrical stimulation: case studies in spinal cord injury. Spinal Cord 42(6):346–352

    Article  PubMed  CAS  Google Scholar 

  45. Hirtz D, Thurman D, Gwinn-Hardy K, Mohamed M, Chaudhuri A, Zalutsky R (2007) How common are the “common” neurologic disorders. Neurology 68(5):326

    Article  PubMed  CAS  Google Scholar 

  46. Hogan N (1984) Adaptive control of mechanical impedance by coactivation of antagonist muscles. IEEE Trans Autom Control 29(8):681–690

    Article  Google Scholar 

  47. Hornby G, Campbell D, Kahn J, Demott T, Moore J, H, HR (2008) Enhanced gait-related improvements after therapist- versus robotic-assisted locomotor training in subjects with chronic stroke. Stroke 39(6):1786–1792

    Google Scholar 

  48. Huang VS, Krakauer JW (2009) Robotic neurorehabilitation: a computational motor learning perspective. J Neuroeng Rehabil 6:5

    Article  PubMed  Google Scholar 

  49. Hyngstrom A, Onushko T, Chua M, Schmit BD (2010) Abnormal volitional hip torque phasing and hip impairments in gait post stroke. J Neurophysiol 103(3):1557–1568

    Article  PubMed  Google Scholar 

  50. Jailani R, Tokhi M, Gharooni S (2010) Hybrid orthosis: the technology for spinal cord injury. J Appl Sci 10(22):2792–2875

    Article  Google Scholar 

  51. Jiang N, Falla D, d’Avella A, Graimann B, Farina D (2010) Myoelectric control in neurorehabilitation. Crit Rev Biomed Eng 38(4):381–391

    PubMed  Google Scholar 

  52. Kangude A, Burgstahler BD (2010) Engineering evaluation of the energy-storing orthosis fes gait system. In: 32nd international conference of the IEEE engineering in medicine and biology society, Buenos Aires

  53. Kangude A, Burgstahler B, Kakastys J, Durfee W (2009) Single channel hybrid fes gait system using an energy storing orthosis: Preliminary design. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society EMBC 2009, Hilton Minneapolis, pp 6798–6801

  54. Kao PC, Lewis CL, Ferris DP (2010) Short-term locomotor adaptation to a robotic ankle exoskeleton does not alter soleus hoffmann reflex amplitude. J Neuroeng Rehabil 7:33

    Article  PubMed  Google Scholar 

  55. Kim S, Banala S, Brackbill E, Agrawal S, Krishnamoorthy V, Scholz J (2010) Robot-assisted modifications of gait in healthy individuals. Exp Brain Res 202:809–824

    Article  PubMed  Google Scholar 

  56. Kleim J, Jones T (2008) Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J Speech Lang Hearing Res 51(1):S225

    Article  Google Scholar 

  57. Kleim JA, Jones TA, Schallert T (2003) Motor enrichment and the induction of plasticity before or after brain injury. Neurochem Res 28:1757–1769. doi:10.1023/A:1026025408742

    Google Scholar 

  58. Kobetic R, Marsolais EB, Triolo RJ, Davy DT, Gaudio R, Tashman S (2003) Development of a hybrid gait orthosis: a case report. J Spinal Cord Med 26(3):254–258

    PubMed  Google Scholar 

  59. Kobetic R, To CS, Schnellenberger JR, Audu ML, Bulea TC, Gaudio R, Pinault G, Tashman S, Triolo RJ (2009) Development of hybrid orthosis for standing, walking, and stair climbing after spinal cord injury. J Rehabil Res Dev 46(3):447–462

    Article  PubMed  Google Scholar 

  60. Kowalczewski J, Gritsenko V, Ashworth N, Ellaway P, Prochazka A (2007) Upper-extremity functional electric stimulation-assisted exercises on a workstation in the subacute phase of stroke recovery. Arch Phys Med Rehabil 88(7):833–839

    Article  PubMed  Google Scholar 

  61. Krebs H, Palazzolo JJ, Dipietro L, Ferraro M, Krol J, Rannekleiv K, Volpe Hogan N (2003) Rehabilitation robotics: performance- based progressive robot-assisted therapy. Auton Robot 15(1):7–20

    Article  Google Scholar 

  62. Lam T, Wolfe D, Eng J, Domingo A (2010) Lower limb rehabilitation following spinal cord injury. In: Eng JJ, Teasell RW, Miller WC, Wolfe DL, Townson AF, Hsieh JTC, Connolly SJ, Mehta S, Sakakibara BM (eds) Spinal cord injury rehabilitation evidence, Vancouver, pp 1–47

  63. Laufer Y, Dickstein R, Chefez Y, Marcovitz E (2001) The effect of treadmill training on the ambulation of stroke survivors in the early stages of rehabilitation: a randomized study. J Rehabil Res Dev 38(1):69–78

    PubMed  CAS  Google Scholar 

  64. Luksch T, Berns K (2010) Control of bipedal walking exploiting postural reflexes and passive dynamics. In:IEEE international conference on applied bionics and biomechanics (ICABB), Venice. http://agrosy.informatik.uni-kl.de/fileadmin/Literatur/Luksch10a.pdf

  65. MacKay-Lyons M (2002) Central pattern generation of locomotion: a review of the evidence. Phys Ther 82(1):69–83

    PubMed  Google Scholar 

  66. Mangold S, Schuster C, Keller T, Zimmermann-Schlatter A, Ettlin T (2009) Motor training of upper extremity with functional electrical stimulation in early stroke rehabilitation. Neurorehabil Neural Repair 23(2):184

    PubMed  Google Scholar 

  67. Marchal-Crespo L, Reinkensmeyer DJ (2009) Review of control strategies for robotic movement training after neurologic injury. J Neuroeng Rehabil 6:20

    Article  PubMed  Google Scholar 

  68. Mayr A, Luenenburger L, Matzak EQK, Froehlich K, Kofler M, Saltuari L (2003) First experiences with the lokomat in patients with severe traumatic brain injury. Brain Inj 17:46–47

    Google Scholar 

  69. Moreno J, Brunetti F, Navarro E, Forner-Cordero A, Pons J (2009) Analysis of the human interaction with a wearable lower-limb exoskeleton. Appl Bionics Biomech 6(2):245–256

    Article  Google Scholar 

  70. Moseley A, Stark A, Cameron I, Pollock A (2003) Treadmill training and body weight support for walking after stroke. Stroke 34(12):3006

    Article  PubMed  Google Scholar 

  71. Nakazawa K, Kakihana W, Kawashima N, Akai M, Yano H (2004) Induction of locomotor-like emg activity in paraplegic persons by orthotic gait training. Exp Brain Res 157(1):117–23

    Article  PubMed  Google Scholar 

  72. Nightingale EJ, Raymond J, Middleton JW, Crosbie J, Davis GM (2007) Benefits of fes gait in a spinal cord injured population. Spinal Cord 45(10):646–657

    Article  PubMed  CAS  Google Scholar 

  73. Nooijen CFJ, Hoeve NT, Field-Fote EC (2009) Gait quality is improved by locomotor training in individuals with SCI regardless of training approach. J Neuroeng Rehabil 6:36

    Article  PubMed  Google Scholar 

  74. Nudo R (2007) Postinfarct cortical plasticity and behavioral recovery. Stroke 38(2):840

    Article  PubMed  Google Scholar 

  75. Obinata G, Fukada S, Matsunaga T, Iwami T, Shimada Y, Miyawaki K, Hase K, Nakayama A (2007) Hybrid control of powered orthosis and functional neuromuscular stimulation for restoring gait. In: Proceedings of the 29th annual international conference of the IEEE engineering in medecine and biology society (EMBS 2007), Lyon, pp 4879–4882

  76. Popovic D, Tomovic R, Schwirtlich L (1989) Hybrid assistive system-the motor neuroprosthesis. IEEE Trans Biomed Eng 36(7):729–737

    Article  PubMed  CAS  Google Scholar 

  77. Popovic M, Keller T, Papas I, Dietz V, Morari M (2001) Surface-stimulation technology for grasping and walking neuroprostheses. Eng Med Biol Mag 20(1):82–93

    Article  CAS  Google Scholar 

  78. Postans NJ, Hasler JP, Granat MH, Maxwell DJ (2004) Functional electric stimulation to augment partial weight-bearing supported treadmill training for patients with acute incomplete spinal cord injury: a pilot study. Arch Phys Med Rehabil 85(4):604–610

    Article  PubMed  Google Scholar 

  79. Prange G, Jannink M, Groothuis-Oudshoorn C, Hermens H, IJzerman M (2006) Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. J Rehabil Res Dev 43(2):171

    Article  PubMed  Google Scholar 

  80. Prokop T, Berger W (1996) Influence of optic flow on locomotion in normal subjects and patients with parkinson’s disease. Electroencephalogr Clin Neurophysiol 99(4):370–370

    Google Scholar 

  81. Riener R, Lunenburger L, Jezernik S, Anderschitz M, Colombo G, Dietz V (2005) Patient-cooperative strategies for robot-aided treadmill training: first experimental results. IEEE Trans Neural Syst Rehabil Eng 13(3):380–394

    Article  PubMed  Google Scholar 

  82. Schmitt C, Metrailler P, Al-Khodairy A, Brodard R, Fournier J, Bouri M, Clavel R (2004) The motionmaker: a rehabilitation system combining an orthosis with closed loop electrical muscle stimulation. In: 8th International workshop on functional electrical stimulation, Vienna

  83. Solis-Escalante T, Müller-Putz G, Brunner C, Kaiser V, Pfurtscheller G (2010) Analysis of sensorimotor rhythms for the implementation of a brain switch for healthy subjects. Biomed Signal Process Control 5:15–20

    Article  Google Scholar 

  84. Stauffer Y, Allemand Y, Bouri M, Fournier J, Clavel R, Metrailler P, Brodard R, Reynard F (2009) The walktrainer—a new generation of walking reeducation device combining orthoses and muscle stimulation. IEEE Trans Neural Syst Rehabil Eng 17(1):38–45

    Article  PubMed  CAS  Google Scholar 

  85. Sup F, Bohara A, Goldfarb M (2008) Design and control of a powered transfemoral prosthesis. Int J Robot Res 27(2):263–273

    Article  Google Scholar 

  86. Teixeira da Cunha Filho I, Lim P, Qureshy H, Henson H, Monga T, Protas E (2001) A comparison of regular rehabilitation and regular rehabilitation with supported treadmill ambulation training for acute stroke patients. J Rehabil Res Dev 38(2):245–255

    PubMed  CAS  Google Scholar 

  87. Thrasher TA, Popovic MR (2008) Functional electrical stimulation of walking: function, exercise and rehabilitation. Ann Readapt Med Phys 51(6):452–460

    PubMed  CAS  Google Scholar 

  88. To CS, Kobetic R, Triolo RJ (2006) Hybrid orthosis system with a variable hip coupling mechanism. In: Proceedings of the 28th annual international conference of the IEEE engineering in medicine and biology society, EMBS ’06, New York, pp 2928–2931

  89. To C, Kobetic R, Schnellenberger J, Audu M, Triolo R (2008) Design of a variable constraint hip mechanism for a hybrid neuroprosthesis to restore gait after spinal cord injury. IEEE/ASME Trans Mechatron 13(2):197–205

    Article  Google Scholar 

  90. Tomovic R (1978) Hybrid actuators for orthotic systems: hybrid assistive systems. In: IV advances in external contrl of human extremities (ECHE). Yugoslav Comittee for ETAN, Beogard, pp 1–15

  91. Tomovic R, Popoviv D, Gracanin F (1978) A technology for self-fitting of orthoses. In: VI advances in external control of human extremities (ECHE), Beogard, pp 231–238

  92. Ueda J, Ming D, Krishnamoorthy V, Shinohara M, Ogasawara T (2010) Individual muscle control using an exoskeleton robot for muscle function testing. IEEE Trans Neural Syst Rehabil Eng 18:339–350

    Google Scholar 

  93. Van Peppen R, Kwakkel G, Wood-Dauphinee S, Hendriks H, Vander Wees P, Dekker J (2004) The impact of physical therapy on functional outcomes after stroke: what’s the evidence? Clin Rehabil 18(8):833

    Article  PubMed  CAS  Google Scholar 

  94. vandenBerg M, Castellote J, Mahillo-Fernandez I, de Pedro-Cuesta J (2010) Incidence of spinal cord injury worldwide: a systematic review. Neuroepidemiology 34(3):184–192

    Article  CAS  Google Scholar 

  95. vanHedel H, Dietz V (2010) Rehabilitation of locomotion after spinal cord injury. Restor Neurol Neurosci 28(1):123–134

    Google Scholar 

  96. Veneman JF, Kruidhof R, Hekman EEG, Ekkelenkamp R, Van Asseldonk EHF, van der Kooij H (2007) Design and evaluation of the lopes exoskeleton robot for interactive gait rehabilitation. IEEE Trans Neural Syst Rehabil Eng 15(3):379–386

    Article  PubMed  Google Scholar 

  97. Visintin M, Barbeau H, Korner-Bitensky N, Mayo N (1998) A new approach to retrain gait in stroke patients through body weight support and treadmill stimulation. Stroke 29(6):1122–1128

    Article  PubMed  CAS  Google Scholar 

  98. Weiss A, Suzuki T, Bean J, Fielding R (2000) High intensity strength training improves strength and functional performance after stroke. Am J Phys Med Rehabil 79(4):369–376

    Article  PubMed  CAS  Google Scholar 

  99. Wernig A, Muller S (1992) Laufband locomotion with body weight support improved walking in persons with severe spinal cord injuries. Paraplegia 30(4):229–238

    Article  PubMed  CAS  Google Scholar 

  100. Wirz M, Zemon D, Rupp R, Scheel A, Colombo G, Dietz V, Hornby T (2005) Effectiveness of automated locomotor training in patients with chronic incomplete spinal cord injury: a multicenter trial. Arch Phys Med Rehabil 56(4):672–680

    Article  Google Scholar 

  101. Wolfe D, Hsieh J, Mehta S (2010) Rehabilitation practice and associated outcomes following spinal cord injury. In: Eng JJ, Teasell RW, Miller WC, Wolfe DL, Townson AF, Hsieh JTC, Connolly SJ, Mehta S, Sakakibara BM (eds) Spinal Cord Injury Rehabilitation Evidence, Vancouver

  102. Liberson WT, Holmquest J, Scot D, Dow M (1961) Functional electrotherapy: stimulation of the peroneal nerve synchronized with the swing phase of the gait of hemiplegic patients. Arch Phys Med Rehabil 42:101–105

    Google Scholar 

  103. Yakimovich T, Lemaire E, Kofman J (2009) Engineering design review of stance-control knee-ankle-foot orthoses. J Rehabil Res Dev 46(2):257–267

    Article  PubMed  Google Scholar 

  104. Zhang D, Liu G, Huan G, Liu J, Zhu X (2009) A hybrid fes rehabilitation system based on CPG and BCI technology for locomotion: a preliminary study. Int Robot Appl 5928:1073–1084

    Google Scholar 

Download references

Acknowledgment

The research for this manuscript has been partially funded by grant from the Spanish Ministry of Science and Innovation CONSOLIDER INGENIO, project HYPER (Hybrid NeuroProsthetic and NeuroRobotic Devices for Functional Compensation and Rehabilitation of Motor Disorders, CSD2009-00067).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan C. Moreno.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Moreno, J.C., del Ama, A.J., de los Reyes-Guzmán, A. et al. Neurorobotic and hybrid management of lower limb motor disorders: a review. Med Biol Eng Comput 49, 1119–1130 (2011). https://doi.org/10.1007/s11517-011-0821-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-011-0821-4

Keywords

Navigation