Plausibility assessment of a 2-state self-paced mental task-based BCI using the no-control performance analysis

Journal of Neuroscience Methods

Volumn 180, Issue 2, 2009, Pages 330-339

  Faradji, Farhad ^a   Ward, Rabab K ^a   Birch, Gary E ^a,b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Neil Squire Society   (Canada)

Author keywords

Autoregressive modeling; Brain computer interface (BCI); Linear discriminant analysis; Mahalanobis discriminant analysis; Mental task; Quadratic discriminant analysis; Radial basis function neural network; Self paced; Support vector machine

Indexed keywords

ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; HUMAN; HUMAN EXPERIMENT; MENTAL TASK; NERVE CELL NETWORK; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TASK PERFORMANCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COGNITION; COMMUNICATION AIDS FOR DISABLED; COMPUTER SIMULATION; COMPUTERS; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FUZZY LOGIC; HUMANS; IMAGINATION; MAN-MACHINE SYSTEMS; MENTAL PROCESSES; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PSYCHOMOTOR PERFORMANCE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SOFTWARE VALIDATION; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 67349207393     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.03.011     Document Type: Article

References (68)

1. Abdollahi F., and Motie-Nasrabadi A. Combination of frequency bands in EEG for feature reduction in mental task classification. Proc. 28th IEEE EMBS (September 2006) 1146-1149
2. Abdollahi F., Setarehdan S.K., and Nasrabadi A.M. Locating information maximization time in EEG signals recorded during mental tasks. Proc. 5th Int. Symp. Image Signal Process. Anal. (September 2007) 238-241
3. Anderson C.W. Effects of variations in neural network topology and output averaging on the discrimination of mental tasks from spontaneous electroencephalogram. J Intell Syst 7 (1997) 165-190
4. Anderson C.W., and Sijerčić Z. Classification of EEG signals from four subjects during five mental tasks. Proc. Conf. Eng. App. Neural Net. (June 1996) 407-414
5. Anderson C.W., Stolz E., and Shamsunder S. Discriminating mental tasks using EEG represented by AR models. Proc. 17th IEEE EMBS (1995) 875-876
6. Anderson C.W., Devulapalli S.V., and Stolz E.A. Determining mental state from EEG signals using neural networks. Sci Program 4 3 (1995) 171-183
7. Anderson C.W., Stolz E.A., and Shumsunder S. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks. IEEE Trans Biomed Eng 45 March (3) (1998) 277-286
8. Anderson C.W., Knight J.N., O'Connor T., Kirby M.J., and Sokolov A. Geometric subspace methods and time-delay embedding for EEG artifact removal and classification. IEEE Trans Neural Syst Rehabil Eng 14 2 (2006) 142-146
9. Atkinson AC, Riani M, Cerioli A. Exploring multivariate datawith the forward search. Springer Series in Statistics, XXI; 2004. 621 p., ch. 6.
10. Barreto G.A., Frota R.A., and de Medeiros F.N.S. On the classification of mental tasks: a performance comparison of neural and statistical approaches. Proc. IEEE Workshop Machine Learn. Signal Process (2004) 529-538
11. Bashashati A., Fatourechi M., Ward R.K., and Birch G.E. User customization of the feature generator of an asynchronous brain interface. Ann Biomed Eng 34 June (6) (2006) 1051-1060
12. Bashashati A., Fatourechi M., Ward R.K., and Birch G.E. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J Neural Eng 4 June (2) (2007) R35-R57
13. Bashashati A., Ward R.K., and Birch G.E. Towards development of a 3-state self-paced brain-computer interface. J Comput Intell Neurosci 2007 October (2007) 1-8
14. Bhatti M.I., Pervaiz A., and Baig M.H. EEG signal decomposition and improved spectral analysis using wavelet transform. Proc. 23rd IEEE EMBS (October 2001) 1862-1864
15. Birch G.E., Lawrence P.D., Lind J.C., and Hare R.D. Application of prewhitening to AR spectral estimation of EEG. IEEE Trans Biomed Eng 35 August (8) (1988) 640-645
16. Blanchard G., and Blankertz B. BCI competition 2003-dataset IIa: spatial patterns of self-controlled brain rhythm modulations. IEEE Trans Biomed Eng 51 June (6) (2004) 1062-1066
17. Burg JP. A new analysis technique for time series data. NATO Adv. Study Inst. on Signal Processing with Emphasis on Underwater Acoustics, Enschede, The Netherlands, August, 1968. Reprinted in Modern Spectrum Analysis, DG Childers (Ed.) IEEE Press, New York; 1978. pp. 42-48.
18. Cristianini N., and Shawe-Taylor J. An introduction to support vector machines and other kernel-based learning methods (2000), Cambridge University Press
19. Daud M.S., and Yunus J. Classification of mental tasks using de-noised EEG signals. Proc. 7th Int. Conf. Signal Process. (2004) 2206-2209
20. Dobrea D.-M., and Dobrea M.-C. An EEG (bio) technological system for assisting the disabled people. Proc. 5th IEEE Int. Conf. Comput. Cybern. (October 2007) 191-196
21. Dobrea D.-M., Dobrea M.-C., and Costin M. An EEG coherence based method used for mental tasks classification. Proc. 5th IEEE Int. Conf. Comput. Cybern. (October 2007) 185-190
22. Fatourechi M., Ward R.K., and Birch G.E. A self-paced brain-computer interface system with a low false positive rate. J Neural Eng 5 March (2008) 9-23
23. Franaszczuk P.J., Blinowska K.J., and Kowalczyk M. The application of parametric multichannel spectral estimates in the study of electrical brain activity. Biol Cybern 51 (1985) 239-247
24. Garrett D., Peterson D.A., Anderson C.W., and Thaut M.H. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification. IEEE Trans Neural Syst Rehabil Eng 11 June (2) (2003) 141-144
25. Gope C., Kehtarnavaz N., and Nair D. Neural network classification of EEG signals using time-frequency representation. Proc. IEEE Int. Joint Conf. Neural Net., 4 (August 2005) 2502-2507
26. Gupta M.M., Jin L., and Homma N. Static and dynamic neural networks: from fundamentals to advanced theory (April 2003), Wiley-IEEE Press, Hoboken, NJ ch. 6
27. Hema C.R., Paulraj M.P., Nagarajan R., Yaacob S., and Adom A.H. Fuzzy based classification of EEG mental tasks for a brain machine interface. Proc. 3rd Int. Conf. Intell. Infor. Hiding Multimed. Signal Process., 1 (November 2007) 53-56
28. Hosni S.M., Gadallah M.E., Bahgat S.F., and AbdelWahab M.S. Classification of EEG signals using different feature extraction techniques for mental-task BCI. Proc. Int. Conf. Computer Eng. Syst. (November 2007) 220-226
29. Huan N., and Palaniappan R. Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals. Proc. 2nd IEEE EMBS Conf. Neural Eng. (March 2005) 633-636
30. Ito Y, Srinivasan C, Izumi H. Discriminant analysis by a neural network with Mahalanobis distance. S. Kollias et al. (Eds.), ICANN, LNCS, Part II; 2006; 4132:350-60.
31. Jiang Z., Ning Y., An B., Li A., and Feng H. Detecting mental EEG properties using detrended fluctuation analysis. Proc. 27th IEEE EMBS (September 2005) 2017-2020
32. Keirn Z.A., and Aunon J.I. A new mode of communication between man and his surroundings. IEEE Trans Biomed Eng 37 December (12) (1990) 1209-1214
33. Keirn Z.A., and Aunon J.I. Man-machine communications through brain-wave processing. IEEE Eng Med Biol Mag 9 March (1) (1990) 55-57
34. Leeb R., Lee F., Keinrath C., Scherer R., Bischof H., and Pfurtscheller G. Brain-computer communication: motivation, aim, and impact of exploring a virtual apartment. IEEE Trans Neural Syst Rehabil Eng 15 December (4) (2007) 473-482
35. Liu D., Jiang Z., Cong W., and Feng H. Detect determinism of spontaneous EEG with a multi-channel reconstruction method. Proc. IEEE Int. Conf. Neural Net. Signal Process. (December 2003) 708-711
36. Liu D., Jian Z., and Feng H. Separating the different components of spontaneous EEG by optimized ICA. Proc. IEEE Int. Conf. Neural Net. Signal Process. (December 2003) 1334-1337
37. Liu H., Wang J., and Zheng C. Mental tasks classification and their EEG structures analysis by using the growing hierarchical self-organizing map. Proc. 1st Int. Conf. Neural Interface Control (May 2005) 115-118
38. Liu H., Wang J., Zheng C., and He P. Study on the effect of different frequency bands of EEG signals on mental tasks classification. Proc. 27th IEEE EMBS (September 2005) 5369-5372
39. Maiorescu V.A., Serban M., and Lazar A.M. Classification of EEG signals represented by AR models for cognitive tasks-a neural network based method. Proc. Int. Symp. Signals Circuits Syst., 2 (2003) 441-444
40. Mason S.G., and Birch G.E. A general framework for brain-computer interface design. IEEE Trans Neural Syst Rehabil Eng 11 March (2003) 70-85
41. Mason S.G., Bashashati A., Fatourechi M., Navarro K.F., and Birch G.E. A comprehensive survey of brain interface technology designs. Ann Biomed Eng 35 February (2) (2007) 137-169
42. Nakayama K., and Inagaki K. A brain computer interface based on neural network with efficient pre-processing. Proc. Int. Symp. Intell. Signal Process. Commun. Syst. (December 2006) 673-676
43. Nakayama K., Kaneda Y., and Hirano A. A brain computer interface based on FFT and multilayer neural network-feature extraction and generalization. Proc. Int. Symp. Intell. Signal Process. Commun. Syst. (November 2007) 826-829
44. Nicolelis M.A. Brain-machine interfaces to restore motor function and probe neural circuits. Nat Rev Neurosci 4 5 (2003) 417-422
45. Palaniappan R. Identifying individuality using mental task based brain computer interface. Proc. 3rd Int. Conf. Intell. Sensing Infor. Process. (December 2005) 239-242
46. Palaniappan R. Brain computer interface design using band powers extracted during mental tasks. Proc. 2nd Int. IEEE EMBS Conf. Neural Eng. (March 2005) 321-324
47. Palaniappan R. Utilizing gamma band to improve mental task based brain-computer interface design. IEEE Trans Neural Syst Rehabil Eng 14 September (3) (2006) 299-303
48. Palaniappan R., and Huan N. Improving the performance of two-state mental task brain-computer interface design using linear discriminant classifier. Proc. EUROCON, 1 (November 2005) 409-412
49. Palaniappan R., and Raveendran P. A new mode of EEG based communication. Proc. IEEE Int. Joint Conf. Neural Net., 4 (July 2001) 2679-2682
50. Palaniappan R., Raveendran P., Nishida S., and Saiwaki N. Evolutionary Fuzzy ARTMAP for autoregressive model order selection and classification of EEG signals. Proc. IEEE Int. Conf. Syst. Man Cybern. (October 2000) 3682-3686
51. Palaniappan R., Raveendran P., Nishida S., and Saiwaki N. Fuzzy Artmap classification of mental tasks using segmented and overlapped EEG signals. Proc. IEEE Region 10 Conf. (September 2000) II-388-II-391
52. Palaniappan R., Raveendran P., Nishida S., and Saiwaki N. Autoregressive spectral analysis and model order selection criteria for EEG signals. Proc. IEEE Region 10 Conf. (September 2000) II-126-II-129
53. Palaniappan R., Paramesran R., Nishida S., and Saiwaki N. A new brain-computer interface design using fuzzy ARTMAP. IEEE Trans Neural Syst Rehabil Eng 10 September (3) (2002) 140-148
54. Paulraj M.P., Hema C.R., Nagarajan R., Yaacob S., and Adom A.H. EEG classification using radial basis PSO neural network for brain machine interfaces. Proc. 5th Student Conf. Research Develop. (December 2007) 1-5
55. Rao R., and Derakhshani R. A comparison of EEG preprocessing methods using time delay neural networks. Proc. 2nd Int. IEEE EMBS Conf. Neural Eng. (March 2005) 262-264
56. Rezaei S., Tavakolian K., and Naziripour K. Comparison of five different classifiers for classification of mental tasks. Proc. 27th IEEE EMBS (September 2005) 6007-6010
57. Scherer R., Lee F., Schlögl A., Leeb R., Bischof H., and Pfurtscheller G. Toward self-paced brain-computer communication: navigation through virtual worlds. IEEE Trans Biomed Eng 55 February (2) (2008) 675-682
58. Setban M.-C., and Dobrea D.-M. Discrimination between cognitive tasks-a comparative study. Proc. Int. Symp. Signals Circuits Syst. (July 2005) 805-808
59. Skinner B.T., Nguyen H.T., and Liu D.K. Classification of EEG signals using a genetic-based machine learning classifier. Proc. 29th IEEE EMBS (August 2007) 3120-3123
60. Tavakolian K., and Rezaei S. Classification of mental tasks using Gaussian mixture Bayesian network classifiers. Proc. IEEE Int. Workshop Biomed. Circuits Syst. (December 2004) S3.6-9-11
61. Tavakolian K., Rezaei S., and Setarehdan S.K. Choosing optimal mental tasks for classification in brain computer interfaces. Proc. Int. Conf. Artificial Intell. and App. (February 2004) 396-399
62. Vaughan T.M. Guest editorial brain-computer interface technology: a review of the second international meeting. IEEE Trans Neural Syst Rehabil Eng 11 June (2) (2003) 94-109
63. Wolpaw J.R. Brain-computer interfaces (BCIs) for communication and control: a mini-review. Suppl Clin Neurophysiol 57 (2004) 607-613
64. Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., and Vaughan T.M. Brain-computer interfaces for communication and control. Clin Neurophysiol 113 6 (2002) 767-791
65. Wu X., and Guo X. Mental EEG analysis based on independent component analysis. Proc. 3rd Int. Symp. Image Signal Process. Anal. (September 2003) 327-331
66. Xue J.Z., Zhang H., Zheng C.X., and Yan X.G. Wavelet packet transform for feature extraction of EEG during mental tasks. Proc. 2nd Int. Conf. Machine Learn. Cybern. (November 2003) 360-363
67. 1/2-dimension spectrum. Proc. 3rd Int. Conf. Advances Med. Signal Infor. Process. (July 2006) 1-4
68. Zhiwei L., and Minfen S. Classification of mental task EEG signals using wavelet packet entropy and SVM. Proc. 8th Int. Conf. Elec. Measure. Instr. (August 2007) 3-906-3-909