Robot-aided upper-limb rehabilitation based on motor imagery EEG

International Journal of Advanced Robotic Systems

Volumn 8, Issue 4, 2011, Pages 88-97

  Xu, Baoguo ^a   Peng, Si ^b   Song, Aiguo ^a   Yang, Renhuan ^a   Pan, Lizheng ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b No7 Research Institute   (China)

Author keywords

Motor imagery; Robot assisted rehabilitation; Stroke therapy

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; PATIENT TREATMENT; ROBOTS; WAVELET TRANSFORMS; MATHEMATICAL TRANSFORMATIONS; NEUROMUSCULAR REHABILITATION;

HARMONIC WAVELET TRANSFORM; LINEAR DISCRIMINANT ANALYSIS; MOTOR IMAGERY; NEUROLOGICAL REHABILITATION; POST-STROKE REHABILITATION; ROBOT-ASSISTED REHABILITATION; STROKE THERAPY; THREE-DIMENSIONAL ANIMATIONS;

NEUROMUSCULAR REHABILITATION; PATIENT REHABILITATION;

EID: 80052508802     PISSN: 17298806     EISSN: 17298814     Source Type: Journal    
DOI: 10.5772/45703     Document Type: Article

References (30)

1. American Heart Association: Heart and Stroke Statistical Update (2011). Available: Http://www.Americanheart.org/statistics/stroke.htm.
2. M.G. van Elk, B.J.F. Driessen, M. Dorrepaal, J.J. van der Werff, E.G. van der Meché, and A.P. Aulbers, "A motorized gravity compensation mechanism used for active rehabilitation of upper limbs," in Proceedings of the IEEE 9th International Conference on Rehabilitation Robotics, Chicago, IL, USA, 2005, pp.152-155. (Pubitemid 44017781)
3. H.I. Krebs, N.Hogan, B.T. Volpe, M.L. Aisen, L. Edelstein, and C. Diels, "Overview of clinical trials with MIT-MANUS: A robot-aided neuro-rehabilitation facility, " Technol. Health Care, vol.7, no.6, pp.419-423, 1999. (Pubitemid 30035872)
4. C.G. Burgar, P.S. Lum, P.C. Shor, and H.F. Machiel Van der Loos, "Development of robots for rehabilitation therapy: The Palo Alto VA/Stanford experience, " J. Rehabil. Res. Dev., vol.37, no.6, pp.663- 673, 2000. (Pubitemid 34117273)
5. D.J. Reinkensmeyer, L.E. Kahn, M. Averbuch, A. McKenna-Cole, B.D. Schmit, and W.Z. Rymer, "Understanding and treating arm movement impairment after chronic brain injury: Progress with the ARM guide, " J. Rehabil. Res. Dev., vol.37, no.6, pp.653-662, 2000.
6. S. Hesse, G. Schulte-Tigges, M. Konrad, A. Bardeleben, and C. Werner, "Robot-assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects, " Arch. Phys. Med. Rehabil., vol.84, no.6, pp.915-920, 2003. (Pubitemid 36682345)
7. H. S. Cheng, M. S. Ju, and C. C. K. Lin, "Improving elbow torque output of stroke patients with assistive torque controlled by EMG signals," J. Biomech. Eng., vol. 125, no.6, pp. 881-886, 2003.
8. L. Dipietro, M. Ferraro, J. J. Palazzolo, H. I. Krebs, B. T. Volpe, and N. Hogan, "Customized interactive robotic treatment for stroke: EMG-triggered therapy," IEEE Trans. Neural Syst. Rehab. Eng., vol. 13, no. 3, pp. 325-334, 2005. (Pubitemid 41416013)
9. R. Song, K. yu Tong, X. Hu, and L. Li, "Assistive control system using continuous myoelectric signal in robot-aided arm training for patients after stroke," IEEE Trans. Neural. Syst. Rehab. Eng., vol. 16, no. 4, pp. 371-379, 2008.
10. D.J. McFarland, J. R. Wolpaw, "Brain-Computer Interfaces for Communication and Control," Communications of the ACM, vol.54, no.5, pp.60-66, 2011.
11. T.M. Vaughan, J.R. Wolpaw, "Special issue containing contributions from the Fourth International Brain-Computer Interface Meeting," J. Neural Eng., vol.8, no.2, 020201, 2011.
12. C.J. Bell, P. Shenoy, R. Chalodhorn, and R.P.N. Rao, "Control of a Humanoid Robot by a Noninvasive Brain-Computer Interface in Humans, " J. Neural Eng., vol. 5, no. 2, pp. 214-220,2008. (Pubitemid 351999188)
13. F. Cincotti, F. Aloise, F. Babiloni, M. Marciani, D. Morelli, S.Paolucci, G. Oriolo, A. Cherubini, S. Bruscino, F. Sciarra, F. Mangiola, A. Melpignano, F. Davide, and D. Mattia, "Brain-operated assistive devices: The aspice project, " in Proc. 1st IEEE/RASEMBS Int. Conf. Biomed. Robot. Biomechatron., Pisa, Italy, 2006, pp.817-822. (Pubitemid 44931228)
14. T. Geng, M. Dyson, C.S.L. Tsui, and J.Q. Gan, "A 3- class Asynchronous BCI Controlling A Simulated Mobile Robot," in Proceedings of the 29th Annual International Conference of the IEEE EMBS, Lyon, France, 2007, pp.2524-2527.
15. J.J. Daly, and J.R. Wolpaw, "Brain-computer interfaces in neurological rehabilitation," The Lancet Neurology, vol.7, no.11, pp. 1032-1043, 2008.
16. K. Jerbi, J.R. Vidal, J. Mattout, E. Maby, F. Lecaignard, T. Ossandon, C.M. Hamamé, S.S. Dalal, R. Bouet, J.-P. Lachaux, R.M. Leahy, S. Baillet, L. Garnero, C. Delpuech and O. Bertrand, "Inferring hand movement kinematics from MEG, EEG and intracranial EEG: From brain-machine interfaces to motor rehabilitation", IRBM, vol.32, no.1, pp.8-18, 2011.
17. G. Pfurtscheller, G.R. Müller-Putz, R. Scherer, and C. Neuper, "Rehabilitation with Brain-Computer Interface systems, "Computer, vol.41, no.10, pp. 58-65, 2008.
18. C.S. Nam, Y. Jeon, Y.J. Kim, I. Lee, K. Park, "Movement imagery-related lateralization of eventrelated (de)synchronization (ERD/ERS): Motorimagery duration effects," Clin. Neurophysiol., vol.122, no.3, pp. 567-577, 2011.
19. R. Gentili, C. Papaxanthis, and T. Pozzo, "Improvement and generalization of arm motor performance through motor imagery practice," Neuroscience, vol.137, no.3, pp. 761-772, 2006. (Pubitemid 43053941)
20. D.H. Wang, and W. H. Liao, "Magnetorheological fluid dampers: A review of parametric modelling, " Smart Materials and Structures, vol.20, no.2, 023001, 2011.
21. D.E. Newland, "Harmonic wavelet analysis," Proceedings of the Royal Society of London, Series A, vol.443, no.1917, pp.203-225, 1993.
22. D.E. Newland, "Wavelet analysis of vibration, Part 1: Theory, " Journal of Vibration and Acoustics, vol.116, pp.409-416, 1994.
23. D.E. Newland, "Wavelet analysis of vibration, Part 2: Wavelet maps, " Journal of Vibration and Acoustics, vol.116, pp.417-425, 1994.
24. L.H. Zetterberg, "Estimation of parameters for a linear difference equation with application to EEG analysis, " Math. Biosci., vol.5, no.3, pp. 227-275, 1969.
25. C.W. Anderson, E.A. Stolz, and S. Shamsunder S, "Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks, " IEEE Trans. Biomed. Eng., vol.45, no.3, pp.277-286, 1998. (Pubitemid 28128653)
26. Z.A. Keirn, and J.I. Aunon, "A new mode of communication between man and his surroundings, " IEEE Trans. Biomed. Eng., vol. 37, pp. 1209-1214, 1990.
27. C.M. Bishop, Neural Networks for Pattern Recognition, Oxford: Oxford University Press, 1996.
28. D. Rumelhart, G. Hinton, R. Williams, Neurocomputing, Cambridge: MIT Press, 1988, pp. 675-695.
29. V.N. Vapnik, The Nature of Statistical Learning Theory, New York: Springer-Verlag, 1995.
30. R.A. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugen, vol.7, no.2, pp. 179-188, 1936.