Abstract

This study reviews the originality and development of the Brain Computer Interface (BCI) system and focus on the BCI system design based on Blind Source Separation (BSS) techniques. The study also provides the recent trends and discusses some of a new ideas for BSS techniques in BCI architecture, articles which discussing the BCI system development were analysed, types of the BCI systems and the recent BCI design were explored. Since 1970 when the research of BCI system began in the California Los Angeles University, the interest and the amount of research in BCI have been increased significantly; especially, when the BSS theory emerged in 1982 by a simple discussion between researchers. A lot of refereed journals and conference papers are reviewed and categorized to make this study in useful form. However, there are a few comprehensive reviews of BSS techniques in BCI literature. The review concludes with a brief discussion and expected future of the BCI.

Keywords:

Artifact rejection, Brain Computer Interface (BCI), Blind Source Separation (BSS), Independent Component Analysis (ICA), neurophysiological signal analysis,

References

1. Aarts, A.A.A., M. Bariatto, M. Fontes, A. Bariatto, N.H. Pereira, et al., 2009. Building the human-chip interface. IEEE International Interconnect Technology Conference, IITC 2009, pp: 29-32.
   CrossRef    PMid:19243245    
2. Allen, P.J., O. Josephs and R. Turner, 2000. A method for removing imaging artifact from continuous EEG recorded during functional MRI. Neuroimage, 12: 230-239.
   CrossRef    PMid:10913328    
3. Allison, B.Z., C. Brunner, A. Christof, I.C. Wagner, G. Sebastian and A.N. Christa, 2012. Hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control. J. Neurosci. Meth., 209(2): 299-307.
   CrossRef    PMid:22771715    
4. Alwasiti, H.H., I. Aris and A. Jantan, 2010. Brain computer interface design and applications: Challenges and future. World Appl. Sci. J., 11(7): 819-825.
   
5. Basak, J. and S.I. Amari, 1999. Blind separation of uniformly distributed signals: A general approach. IEEE T. Neural Networks, 10(5): 1173-1185.
   CrossRef    PMid:18252618    
6. Bayliss, J.D., 2001. A flexible brain-computer interface. Ph.D. Thesis, Computer Science Department, University of Rochester, Rochester, New York.
   
7. Blanco, S.H., R. Garcia, Q. Quian, L. Romanelli and O.A. Rosso, 1995. Stationarity of the EEG series. IEEE Engineering in Medicine and Biology Magazine, pp: 395-399.
   CrossRef    
8. Boye, A.T., U.Q. Kristiansen, M. Billinger, O.F. Do Nascimento and D. Farina, 2008. Identification of movement-related cortical potentials with optimized spatial filtering and principal component analysis. Biomed. Signal Process. Control, 3: 300-304.
   CrossRef    
9. Carrie, J.A., G.F. Irina and K. Marta, 2004. Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. Blackwell Publishing Inc., Psychophysiology, 41: 313-325.
   CrossRef    PMid:15032997    
10. Cichocki, A., 2004. Blind signal processing methods for analyzing multichannel brain signals. Int. J. Bioelectromagnetism, 6(1).
    
11. Chiappa, S. and D. Barber, 2006. EEG classification using generative independent component analysis. Neurocomputing, 69: 769-777.
    CrossRef    
12. Comon, P. and C. Jutten, 1996. Blind Source Separation. Published by Elsevier Ltd.
    PMid:18263551    
13. Erfanian, A. and A. Erfani, 2004. ICA-based classification scheme for EEG based brain-computer interface: The role of mental practice and concentration skills. Conf. Proc. IEEE Eng. Med. Biol. Soc., 1: 235-238.
    CrossRef    
14. Flexer, A., H. Bauer, J. Pripfl and G. Dorffner, 2005. Using ICA for removal of ocular artifacts in EEG recorded from blind subjects. Neural Netw., 18: 998-1005.
    CrossRef    PMid:15990276    
15. Gao, J., Y. Yang, P. Lin, P. Wang and C. Zheng, 2010. Automatic removal of eye-movement and blink artifacts from EEG signals. Brain Topogr., 23: 105-114.
    CrossRef    PMid:20039116    
16. Gastaut, H., 1952. Electrocorticographic study of the reactivity of rolandic rhythm. Rev. Neurol. (Paris), 87: 176-182.
    
17. Georgopoulos, A., J.T. Lurito, M. Petrides, A.B. Schwartz and J.T. Massey, 1989. Mental rotation of the neuronal population vector. Science, 243(4888): 234-236.
    CrossRef    PMid:2911737    
18. Ghanbari, A.A., B. Ali, N. Hamidreza and A. Ahmadi, 2012. Brain computer interface with genetic algorithm. Int. J. Inform. Commun. Technol. Res., 2(1): 79-86.
    
19. Halder, S., M. Bensch, J. Mellinger, M. Bogdan, A. Kübler, et al., 2007. Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation. Hindawi Publishing Corporation Computational Intelligence and Neuroscience, Article ID 82069.
    PMid:18288259 PMCid:PMC2234090    
20. Hansen, L.K. and M. Dyrholm, 2003. A prediction matrix approach to convolutive ICA. In NNSP'03, pp: 249-258.
    CrossRef    
21. Hyvarinen, A., 1999. Fast and robust fixed-point algorithms for independent component analysis. IEEE T. Neural Netw., 10: 626-634.
    CrossRef    PMid:18252563    
22. Hyvarinen, A., J. Karhunen and E. Oja, 2001. Independent Component Analysis. John Whily & Sons Inc.
    CrossRef    
23. Hochberg, L.R., M.D. Serruya, G.M. Friehs, J.A. Mukand, M. Saleh, A.H. Caplan, et al., 2006. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature, 442(7099): 164-171.
    CrossRef    PMid:16838014    
24. James, C.J. and S. Wang, 2006. Blind source separation in single-channel EEG analysis: An application to BCI. Engineering in Medicine and Biology Society, EMBS '06, 28th Annual International Conference of the IEEE, pp: 6544-6547.
    
25. Jerry, J.S., J. Krusienski and J.R. Wolpaw, 2012. Brain-computer interfaces in medicine: Mayo foundation for medical education and research. Mayo Clin. Proc., 87(3): 268-279.
    CrossRef    PMid:22325364 PMCid:PMC3497935    
26. Jin, J., B.Z. Allison, E.W. Sellers, C. Brunner, P. Horki, X. Wang, et al., 2011. An adaptive P300-based control system. J. Neural. Eng., 8(3).
    CrossRef    PMid:21474877 PMCid:PMC4429775    
27. Jung, T.P., 2000. Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37: 163-178, Cambridge University Press, USA.
    CrossRef    PMid:10731767    
28. Kluge, T. and M. Hartmann, 2007. Phase coherent detection of steady-state evoked potentials: experimental results and application to brain-computer interfaces. Proceedings of 3rd International IEEE EMBS Neural Engineering Conference, Kohala Coast, Hawaii, USA, pp: 425-429, 2-5 May.
    CrossRef    
29. Krusienski, D.J. and J.J. Shih, 2011. Control of a visual keyboard using an Electrocorticographic brain-computer interface. Neurorehabil Neural Repair., 25(4): 323-331.
    CrossRef    PMid:20921326 PMCid:PMC3407379    
30. Lehtonen, J., 2002. EEG-based brain computer interfaces. M.Sc. Thesis, Electrical and Communication Engineering Department, Helsinki University of Technology.
    
31. Lin, C.J. and M.H. Hsieh, 2009. Classification of mental task from EEG data using neural networks based on particle swarm optimization. Neurocomputing, 72: 1121-1130.
    CrossRef    
32. Long, J., Y. Li, H. Wang, T. Yu, J. Pan and F. Li, 2012. A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair. IEEE Trans. Neural Syst. Rehabil. Eng., 20(5): 720 -729.
    CrossRef    PMid:22692936    
33. Mak, J.N. and J.R. Wolpaw, 2009. Clinical applications of brain-computer interfaces: Current state and future prospects. IEEE Rev. Biomed. Eng., 2: 187-199.
    CrossRef    PMid:20442804 PMCid:PMC2862632    
34. Makeig, S., A.J. Bell, T.P. Jung and T.J. Sejnowski, 1996. Independent Component Analysis of Electroencephalographic Data. In: Touretzky, D., M. Mozer and M. Hasselmo (Eds.), Advances in Neural Information Processing Systems. The MIT Press, Cambridge, MA, 8: 145-151.
    
35. Makeig, S., S. Debener, J. Onton and A. Delorme, 2004. Mining event-related brain dynamics. Trends Cognitive Sci., 8: 204-210.
    CrossRef    PMid:15120678    
36. Mansour, A., N. Benchekroun and C. Gervaise, 2006. Blind separation of underwater acoustic signals. In ICA'06, pp: 181-188.
    CrossRef    
37. Mehrdad, F., A. Bashashati, R.K. Ward and G. Birch, 2007. EMG and EOG artifacts in brain computer interface systems: A survey. Clin. Neurophysiol., 118(3): 480-494.
    CrossRef    PMid:17169606    
38. Mileros, M.D., 2003. A real-time classification approach of a human brain-computer interface based on movement related electroencephalogram. M.Sc. Thesis, Department of Physics and Electrical Engineering, Linköping University, Linköping, Sweden.
    
39. Millan, J.D.R., 2003. Brain-Computer Interface. In: Arbib, M.A. (Ed.), the Handbook of Brain Theory and Neural Networks. 2nd Edn., MIT Press, England.
    
40. Mosher, J., P. Lewis and R. Leahy, 1992. Multidipole modelling and localization from spatiotemporal meg data. IEEE T. Biomed. Eng., 39: 541-557.
    CrossRef    PMid:1601435    
41. Mugler, E.M., C.A. Ruf, S. Halder, M. Bensch and A. Kubler, 2010. Design and implementation of a P300-based brain-computer interface for controlling an internet browser. IEEE Trans. Neural. Syst. Rehabil. Eng.,18(6): 599-609.
    CrossRef    PMid:20805058    
42. Mukul, M.K. and F. Matsuno, 2011. EEG filtering based on BSS algorithm and its modification for BCI. Control Conference (ASCC), 8th Asian, 15-18 May, pp: 880-885.
    
43. Musha, T., T. Asada, F. Yamashita, T., T.K.Z. Chen, H. Matsuda, M. Uno and W. Shankle, 2002. A new EEG method for estimating cortical neuronal impairment that is sensitive to early stage Alzheimer's disease. Clin. Neurophysiol., 113(7): 1052-1508.
    CrossRef    
44. Nakamura, W., K. Anami, T. Mori, O. Saitoh, A. Cichocki and S. Amari, 2006. Removal of ballistocardigram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. IEEE T. Biomed. Eng., 53(7): 1294-1308.
    CrossRef    PMid:16830934    
45. Niazy, R.K., C.F. Beckmann, G.D. Iannetti, J.M. Brady and S.M. Smith, 2005. Removal of fMRI envirnoment artifacts from EEG data using optimal basis sets. Neuroimage, 28: 720-737.
    CrossRef    PMid:16150610    
46. Nicolas-Alonso, L.F. and G.G. Jaime, 2012. Brain Computer Interfaces, a review. Sensors, 12: 1211-1279; DOI: 10.3390/s120201211.
    CrossRef    
47. Ochoa, J.B., 2002. EEG Signal Classification for Brain Computer Interface Application. Ecole Polytechnique Federale De Lausanne (EPFL).
    
48. Olyaee, S., M.S.E. Abadi, R. Ebrahimpour and M.R. Moradian, 2010. A comparative study of two blind source separation approaches to resolve the multi-source limitation of the nutating rising-sun reticle based optical trackers. Int. J. Comput. Electr. Eng., 2(2): 1793-8163.
    CrossRef    
49. Pfurtscheller, G. and C. Neuper, 2001. Motor imagery and direct brain computer communication. Proc. IEEE, 89(7): 1123-1134.
    CrossRef    
50. Pedersen, M.S., J. Larsen, U. Kjems and L.C. Parra, 2007. A Survey of Convolutive Blind Source Separation Methods, Springer Handbook on Speech Processing and Speech Communication, pp: 1-34.
    
51. Salim, M.H., 2007. Design and implementation of AI controller based on brain computer interface. MS Thesis, Nahrain University, Iraq.
    
52. Sanjeev, N.J., et al., 2012. Blind source separation and ICA techniques: A review. Int. J. Eng. Sci. Technol., 4(04): 1490-1503.
    
53. Scherg, M. and D.V. Cramon, 1985. Two bilateral sources of the late aep as identified by a spatiotemporal dipole model. Electroen. Clin. Neurophysiol., 62: 32-44.
    CrossRef    
54. Shoker, L.S. and A. Sanei, 2006. Distinguishing between left and right finger movement from EEG using SVM. 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE 17-18 Jan, pp: 5420-5423.
    
55. Sijbers, J., J. Van Audekerke, M. Verhoye, A. Van der Linden and D. Van Dyck, 2000. Reduction of ECG and gradient related artifacts in simultaneous recorded human EEG/MRI data. Magn. Reson. Imaging, 18(7): 881-886.
    CrossRef    
56. Srivastava, G., S. Crottaz-Herette, K.M. Lau, G.H. Glover and V. Menon, 2005. ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner. Neuroimage, 24: 50-60.
    CrossRef    PMid:15588596    
57. Stone, J.V., 2001. Blind source separation using temporal predictability. Neural Computation, 13: 1559-1574.
    CrossRef    PMid:11440597    
58. Sun, S., C. Zhang and Y. Lu, 2008. The random electrode selection ensemble for EEG signals classification. Pattern Recogn., 41: 1663-1675.
    CrossRef    
59. Tahir, R., 2010. Constrained blind source separation of human brain signals. Ph.D. Thesis, Kyung Hee University, Korea.
    
60. Torse, D.A., R.R. Maggavi and S.A. Pujari, 2012. Nonlinear blind source separation for EEG signal pre-processing in brain-computer interface system for Epilepsy. Int. J. Comput. Appl., 50(14).
    
61. Vidal, J.J., 1973. Toward direct brain-computer communication. Annu. Rev. Biophys. Bioeng., 2: 157-180.
    CrossRef    PMid:4583653    
62. Wallstrom, G.L., R.E. Kass, A. Miller, J.F. Cohn and N.A. Fox, 2004. Automatic correction of ocular artifacts in the EEG: A comparison of regression based and component-based methods. Int. J. Psychophysiol., 53: 105-119.
    CrossRef    PMid:15210288    
63. Williams, J.W. and Y. Li, 2011. A new approach to denoising EEG signals-merger of translation invariant wavelet and ICA. Int. J. Biometrics Bioinformat., 5(2).
    
64. Wolpaw, J.R. and D.J. McFarland, 1994. Multichannel EEG based brain computer communication. Electroencephalogr. Clin. Neurophysiol., 90(6): 444-449.
    CrossRef    
65. Wolpaw, J.R. and D.J. McFarland, 2004. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc. Natl. Acad. Sci. USA., 101(51): 17849-17854.
    CrossRef    PMid:15585584 PMCid:PMC535103    
66. Wolpaw, J.R., D.J. McFarland, G.W. Neat and C.A. Forneris, 1991. An EEG-based brain-computer interface for cursor control. Electroencephalogr. Clin. Neurophysiol., 78(3): 252-259.
    CrossRef    
67. Wolpaw, J.R., N. Birbaumer, D.J. McFarland, G. Pfurtscheller and T.M. Vaughan, 2002. Brain-computer interfaces for communication and control. Clin. Neurophysiol., 113(6): 767-791.
    CrossRef    
68. Xue, Z., J. Li, S. Li and B. Wan, 2006. Using ICA to remove eye blink and power line artifacts in EEG. IEEE Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC'06), China, 30 Aug. -1 Sept., pp: 107-110.
    

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The authors have no competing interests.

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