A BMI-based occupational therapy assist suit: Asynchronous control by SSVEP

Frontiers in Neuroscience

Volumn , Issue 7 SEP, 2013, Pages

  Sakurada, Takeshi ^a   Kawase, Toshihiro ^a   Takano, Kouji ^a   Komatsu, Tomoaki ^a   Kansaku, Kenji ^a  

^a NATIONAL REHABILITATION CENTER FOR PERSONS WITH DISABILITIES   (Japan)

Author keywords

Asynchronous control; BCI; BMI; Exoskeleton; SSVEP

Indexed keywords

ACCURACY; AGE; ARM; ARTICLE; BRAIN COMPUTER INTERFACE; CASE REPORT; CERVICAL SPINAL CORD INJURY; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EVOKED VISUAL RESPONSE; GENDER; HAND; HUMAN; MOVEMENT (PHYSIOLOGY); OCCUPATIONAL THERAPY; STEADY STATE; SUPPORT VECTOR MACHINE; TRAINING; VISUAL CORTEX;

EID: 84894097894     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2013.00172     Document Type: Article

References (60)

1. Allison, B. Z., Brunner, C., Kaiser, V., Muller-Putz, G. R., Neuper, C., and Pfurtscheller, G. (2010). Toward a hybrid brain-computer interface based on imagined movement and visual attention. J. Neural Eng. 7:26007. doi: 10.1088/1741-2560/7/2/026007
2. Amirabdollahian, F., Loureiro, R., Gradwell, E., Collin, C., Harwin, W., and Johnson, G. (2007). Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy. J. Neuroeng. Rehabil. 4, 4. doi: 10.1186/1743-0003-4-4
3. Bakardjian, H., Tanaka, T., and Cichocki, A. (2010). Optimization of SSVEP brain responses with application to eight-command Brain-Computer Interface. Neurosci. Lett. 469, 34-38. doi: 10.1016/j.neulet.2009.11.039
4. Ball, S. J., Brown, I. E., and Scott, S. H. (2009). Performance evaluation of a planar 3DOF robotic exoskeleton for motor assessment. J. Med. Device 3, 21002. doi: 10.1115/1.3131727
5. Bastos, T. F., Muller, S. M., Benevides, A. B., and Sarcinelli-Filho, M. (2011). Robotic wheelchair commanded by SSVEP, motor imagery and word generation. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011, 4753-4756. doi: 10.1109/IEMBS.2011.6091177
6. Bin, G., Gao, X., Yan, Z., Hong, B., and Gao, S. (2009). An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method. J. Neural Eng. 6:046002. doi: 10.1088/1741-2560/6/4/046002
7. Bin, G., Lin, Z., Gao, X., Hong, B., and Gao, S. (2008). The SSVEP topographic scalp maps by canonical correlation analysis. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2008, 3759-3762. doi: 10.1109/IEMBS.2008.4650026
8. Birbaumer, N., and Cohen, L. G. (2007). Brain-computer interfaces: communication and restoration of movement in paralysis. J. Physiol. 579, 621-636. doi: 10.1113/jphysiol.2006.125633
9. Cheng, M., Gao, X., Gao, S., and Xu, D. (2002). Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans. Biomed. Eng. 49, 1181-1186. doi: 10.1109/TBME.2002.803536
10. Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., et al. (2013). High-performance neuroprosthetic control by an individual with tetraplegia. Lancet 381, 557-564. doi: 10.1016/S0140-6736(12)61816-9
11. Diez, P. F., Mut, V. A., Avila Perona, E. M., and Laciar Leber, E. (2011). Asynchronous BCI control using high-frequency SSVEP. J. Neuroeng. Rehabil. 8, 39. doi: 10.1186/1743-0003-8-39
12. Dipietro, L., Ferraro, M., Palazzolo, J. J., Krebs, H. I., Volpe, B. T., and Hogan, N. (2005). Customized interactive robotic treatment for stroke: EMG-triggered therapy. IEEE Trans. Neural Syst. Rehabil. Eng. 13, 325-334. doi: 10.1109/TNSRE.2005.850423
13. Dolce, G., Lucca, L. F., and Pignolo, L. (2009). Robot-assisted rehabilitation of the paretic upper limb: rationale of the ARAMIS project. J. Rehabil. Med. 41, 1007-1101. doi: 10.2340/16501977-0406
14. Farwell, L. A., and Donchin, E. (1988). Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol. 70, 510-523. doi: 10.1016/0013-4694(88)90149-6
15. Finley, M. A., Fasoli, S. E., Dipietro, L., Ohlhoff, J., Macclellan, L., Meister, C., et al. (2005). Short-duration robotic therapy in stroke patients with severe upper-limb motor impairment. J. Rehabil. Res. Dev. 42, 683-692. doi: 10.1682/JRRD.2004.12.0153
16. Flash, T., and Hogan, N. (1985). The coordination of arm movements: an experimentally confirmed mathematical model. J. Neurosci. 5, 1688-1703.
17. Gomez-Rodriguez, M., Peters, J., Hill, J., Scholkopf, B., Gharabaghi, A., and Grosse-Wentrup, M. (2011). Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. J. Neural Eng. 8:036005. doi: 10.1088/1741-2560/8/3/036005
18. Grave De Peralta Menendez, R., Dias, J. M. M., Prado, J.A.S., Aliakbarpour, H., and Gonzalez Andino, S. (2009). "Multiclass brain computer interface based on visual attention," in European Symposium on Artificial Neural Networks-Advances in Computational Intelligence and Learning, (Bruges), 22-24.
19. Hesse, S., Mehrholz, J., and Werner, C. (2008). Robot-assisted upper and lower limb rehabilitation after stroke: walking and arm/hand function. Dtsch. Arztebl. Int. 105, 330-336. doi: 10.3238/arztebl.2008.0330
20. Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., et al. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485, 372-375. doi: 10.1038/nature11076
21. Horki, P., Neuper, C., Pfurtscheller, G., and Muller-Putz, G. (2010). Asynchronous steady-state visual evoked potential based BCI control of a 2-DoF artificial upper limb. Biomed. Tech. (Berl.) 55, 367-374. doi: 10.1515/bmt.2010.044
22. Horki, P., Solis-Escalante, T., Neuper, C., and Muller-Putz, G. (2011). Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb. Med. Biol. Eng. Comput. 49, 567-577. doi: 10.1007/s11517-011-0750-2
23. Ikegami, S., Takano, K., Saeki, N., and Kansaku, K. (2011). Operation of a P300-based brain-computer interface by individuals with cervical spinal cord injury. Clin. Neurophysiol. 122, 991-996. doi: 10.1016/j.clinph.2010.08.021
24. Kansaku, K. (2011). "Brain-machine interfaces for persons with disabilities," in Systems Neuroscience and Rehabilitation, eds K. Kansaku and L. G. Cohen (Berlin: Springer), 19-33. doi: 10.1007/978-4-431-54008-3_2
25. Krebs, H. I., Dipietro, L., Volpe, B. T., and Hogan, N. (2003). Rehabilitation robotics: performance-based progressive robot-assisted therapy. Auton. Robots 15, 7-20. doi: 10.1023/A:1024494031121
26. Krebs, H. I., Volpe, B. T., Williams, D., Celestino, J., Charles, S. K., Lynch, D., et al. (2007). Robot-aided neurorehabilitation: a robot for wrist rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 15, 327-335. doi: 10.1109/TNSRE.2007.903899
27. Lebedev, M. A., and Nicolelis, M. A. (2006). Brain-machine interfaces: past, present and future. Trends Neurosci. 29, 536-546. doi: 10.1016/j.tins.2006.07.004
28. Luo, A., and Sullivan, T. J. (2010). A user-friendly SSVEP-based brain-computer interface using a time-domain classifier. J. Neural Eng. 7:26010. doi: 10.1088/1741-2560/7/2/026010
29. Ma, H. I., and Trombly, C. A. (2002). A synthesis of the effects of occupational therapy for persons with stroke, Part II: remediation of impairments. Am. J. Occup. Ther. 56, 260-274. doi: 10.5014/ajot.56.3.260
30. Marchal-Crespo, L., and Reinkensmeyer, D. J. (2009). Review of control strategies for robotic movement training after neurologic injury. J. Neuroeng. Rehabil. 6, 20. doi: 10.1186/1743-0003-6-20
31. Masiero, S., Armani, M., and Rosati, G. (2011). Upper-limb robot-assisted therapy in rehabilitation of acute stroke patients: focused review and results of new randomized controlled trial. J. Rehabil. Res. Dev. 48, 355-366. doi: 10.1682/JRRD.2010.04.0063
32. Muller-Putz, G. R., and Pfurtscheller, G. (2008). Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans. Biomed. Eng. 55, 361-364. doi: 10.1109/TBME.2007.897815
33. Muller, S. M., Celeste, W. C., Bastos-Filho, T. F., and Sarcinelli-Filho, M. (2010). Brain-computer interface based on visual evoked patentials to command autonomous robotic wheelchair. J. Med. Biol. Eng. 30, 407-416. doi: 10.5405/jmbe.765
34. Ortner, R., Allison, B. Z., Korisek, G., Gaggl, H., and Pfurtscheller, G. (2011). An SSVEP BCI to control a hand orthosis for persons with tetraplegia. IEEE Trans. Neural Syst. Rehabil. Eng. 19, 1-5. doi: 10.1109/TNSRE.2010.2076364
35. Panicker, R. C., Puthusserypady, S., and Sun, Y. (2011). An asynchronous P300 BCI with SSVEP-based control state detection. IEEE Trans. Biomed. Eng. 58, 1781-1788. doi: 10.1109/TBME.2011.2116018
36. Pastor, M. A., Artieda, J., Arbizu, J., Valencia, M., and Masdeu, J. C. (2003). Human cerebral activation during steady-state visual-evoked responses. J. Neurosci. 23, 11621-11627.
37. Pfurtscheller, G., Allison, B. Z., Brunner, C., Bauernfeind, G., Solis-Escalante, T., Scherer, R., et al. (2010a). The hybrid BCI. Front. Neurosci. 4:30. doi: 10.3389/fnpro.2010.00003
38. Pfurtscheller, G., Solis-Escalante, T., Ortner, R., Linortner, P., and Muller-Putz, G. R. (2010b). Self-paced operation of an SSVEP-Based orthosis with and without an imagery-based "brain switch:" a feasibility study towards a hybrid BCI. IEEE Trans. Neural Syst. Rehabil. Eng. 18, 409-414. doi: 10.1109/TNSRE.2010.2040837
39. Pichiorri, F., De Vico Fallani, F., Cincotti, F., Babiloni, F., Molinari, M., Kleih, S. C., et al. (2011). Sensorimotor rhythm-based brain-computer interface training: the impact on motor cortical responsiveness. J. Neural Eng. 8, 025020. doi: 10.1088/1741-2560/8/2/025020
40. Pignolo, L. (2009). Robotics in neuro-rehabilitation. J. Rehabil. Med. 41, 955-960. doi: 10.2340/16501977-0434
41. Pillastrini, P., Mugnai, R., Bonfiglioli, R., Curti, S., Mattioli, S., Maioli, M. G., et al. (2008). Evaluation of an occupational therapy program for patients with spinal cord injury. Spinal Cord 46, 78-81. doi: 10.1038/sj.sc.3102072
42. Ramos-Murguialday, A., Broetz, D., Rea, M., Laer, L., Yilmaz, O., Brasil, F. L., et al. (2013). Brain-machine interface in chronic stroke rehabilitation: a controlled study. Ann. Neurol. 74, 100-108. doi: 10.1002/ana.23879
43. Regan, D. (1989). Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine. New York, NY: Elsevier.
44. Sakurada, T., Takano, K., and Kansaku, K. (2011). "A BCI-based OT-assist suit for paralyzed upper extremities: a combination of sensorimotor rhythm, P300 and SSVEP," in Program No. 142.09. 2011 Neuroscience Meeting Planner, (Washington, DC: Society for Neuroscience) [online].
45. Sanchez, R. J., Liu, J., Rao, S., Shah, P., Smith, R., Rahman, T., et al. (2006). Automating arm movement training following severe stroke: functional exercises with quantitative feedback in a gravity-reduced environment. IEEE Trans. Neural Syst. Rehabil. Eng. 14, 378-389. doi: 10.1109/TNSRE.2006.881553
46. Schabowsky, C. N., Godfrey, S. B., Holley, R. J., and Lum, P. S. (2010). Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot. J. Neuroeng. Rehabil. 7, 36. doi: 10.1186/1743-0003-7-36
47. Song, R., Tong, K. Y., Hu, X., and Li, L. (2008). Assistive control system using continuous myoelectric signal in robot-aided arm training for patients after stroke. IEEE Trans. Neural Syst. Rehabil. Eng. 16, 371-379. doi: 10.1109/TNSRE.2008.926707
48. Staubli, P., Nef, T., Klamroth-Marganska, V., and Riener, R. (2009). Effects of intensive arm training with the rehabilitation robot ARMin II in chronic stroke patients: four single-cases. J. Neuroeng. Rehabil. 6, 46. doi: 10.1186/1743-0003-6-46
49. Takano, K., Hata, N., and Kansaku, K. (2011). Towards intelligent environments: an augmented reality-brain-machine interface operated with a see-through head-mount display. Front. Neurosci. 5:60. doi: 10.3389/fnins.2011.00060
50. Takano, K., Komatsu, T., Hata, N., Nakajima, Y., and Kansaku, K. (2009). Visual stimuli for the P300 brain-computer interface: a comparison of white/gray and green/blue flicker matrices. Clin. Neurophysiol. 120, 1562-1566. doi: 10.1016/j.clinph.2009.06.002
51. Trejo, L. J., Rosipal, R., and Matthews, B. (2006). Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials. IEEE Trans. Neural Syst. Rehabil. Eng. 14, 225-229. doi: 10.1109/TNSRE.2006.875578
52. Uno, Y., Kawato, M., and Suzuki, R. (1989). Formation and control of optimal trajectory in human multijoint arm movement. Minimum torque-change model. Biol. Cybern. 61, 89-101. doi: 10.1007/BF00204593
53. Vapnik, V. (1996). The Nature of Statistical Learning Theory. Berlin: Springer.
54. Volosyak, I. (2011). SSVEP-based Bremen-BCI interface-boosting information transfer rates. J. Neural Eng. 8:036020. doi: 10.1088/1741-2560/8/3/036020
55. Wang, Y., Wang, R., Gao, X., Hong, B., and Gao, S. (2006). A practical VEP-based brain-computer interface. IEEE Trans. Neural Syst. Rehabil. Eng. 14, 234-239. doi: 10.1109/TNSRE.2006.875576
56. Wilson, J. J., and Palaniappan, R. (2011). Analogue mouse pointer control via an online steady state visual evoked potential (SSVEP) brain-computer interface. J. Neural Eng. 8:025026. doi: 10.1088/1741-2560/8/2/025026
57. Wolbrecht, E. T., Chan, V., Reinkensmeyer, D. J., and Bobrow, J. E. (2008). Optimizing compliant, model-based robotic assistance to promote neurorehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 16, 286-297. doi: 10.1109/TNSRE.2008.918389
58. Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., and Vaughan, T. M. (2002). Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113, 767-791. doi: 10.1016/S1388-2457(02)00057-3
59. Zhu, D., Bieger, J., Garcia Molina, G., and Aarts, R. M. (2010). A survey of stimulation methods used in SSVEP-based BCIs. Comput. Intell. Neurosci. 2010:702357. doi: 10.1155/2010/702357
60. Zickler, C., Riccio, A., Leotta, F., Hillian-Tress, S., Halder, S., Holz, E., et al. (2011). A brain-computer interface as input channel for a standard assistive technology software. Clin. EEG Neurosci. 42, 236-244. doi: 10.1177/155005941104200409