Toward development of a two-state brain-computer interface based on mental tasks

Journal of Neural Engineering

Volumn 8, Issue 4, 2011, Pages

  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

[No Author keywords available]

Indexed keywords

AUTO-REGRESSIVE; AUTOREGRESSIVE MODELING; CROSS VALIDATION; DATA SETS; EEG SIGNALS; FALSE POSITIVE RATES; FEATURE EXTRACTION AND CLASSIFICATION; MENTAL TASKS; QUADRATIC DISCRIMINANT ANALYSIS; TRUE POSITIVE RATES; TWO-STATE;

DATA PROCESSING; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; INTERFACES (COMPUTER);

BRAIN COMPUTER INTERFACE;

ADULT; BRAIN COMPUTER INTERFACE; CONFERENCE PAPER; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAM; FALSE POSITIVE RESULT; HUMAN; HUMAN EXPERIMENT; MALE; MENTAL FUNCTION; NORMAL HUMAN; PRIORITY JOURNAL; TASK PERFORMANCE; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; IMAGINATION; LABORATORY DIAGNOSIS; MATHEMATICS; PHYSIOLOGY; PROSTHESIS; REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICAL MODEL;

ADULT; ALGORITHMS; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HUMANS; IMAGINATION; MALE; MATHEMATICS; MENTAL PROCESSES; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PROSTHESIS DESIGN; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; USER-COMPUTER INTERFACE; YOUNG ADULT;

EID: 79960818650     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/8/4/046014     Document Type: Conference Paper

References (92)

1. Mak J N and Wolpaw J R 2009 Clinical applications of brain-computer interfaces: current state and future prospects IEEE Rev. Biomed. Eng. 2 187-99
2. Fatourechi M, Ward R K and Birch G E 2008 A self-paced brain-computer interface system with a low false positive rate J. Neural Eng. 5 9-23 (Pubitemid 351366600)
3. Bashashati A, Fatourechi M, Ward R K and Birch G E 2007 A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals J. Neural Eng. 4 R32-57 (Pubitemid 46603812)
4. Mason S G, Bashashati A, Fatourechi M, Navarro K F and Birch G E 2007 A comprehensive survey of brain interface technology designs Ann. Biomed. Eng. 35 137-169 (Pubitemid 46122173)
5. Vaughan T M 2003 Guest editorial brain-computer interface technology: a review of the second international meeting IEEE Trans. Neural Syst. Rehabil. Eng. 11 94-109
6. Mason S G and Birch G E 2000 A brain-controlled switch for asynchronous control applications IEEE Trans. Biomed. Eng. 47 1297-307
7. Pfurtscheller G, Solis-Escalante T, Ortner R, Linortner P and Müller-Putz G 2010 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. 18 409-14
8. Iáñez E, Azorín J M, Úbeda A, Ferrández J M and Fernández E 2010 Mental tasks-based brain-robot interface Robot. Auton. Syst. 58 1238-45
9. Li Y, Long J, Yu T, Yu Z, Wang C, Zhang H and Guan C 2010 An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential IEEE Trans. Biomed. Eng. 57 2495-505
10. Coyle D, McGinnity T M and Prasad G 2010 Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing Biomed. Signal Process. Control 5 196-204
11. Brunner C, Allison B Z, Krusienski D J, Kaiser V, Müller-Putz G R, Pfurtscheller G and Neuper C 2010 Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface J. Neurosci. Methods 188 165-73
12. Hsu W-Y 2010 EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features J. Neurosci. Methods 189 295-302
13. Hazrati M K and Erfanian A 2010 An online EEG-based brain-computer interface for controlling hand grasp using an adaptive probabilistic neural network Medical Eng. Phys. 32 730-9
14. Qian K, Nikolov P, Huang D, Fei D-Y, Chen X and Bai O 2010 A motor imagery-based online interactive brain-controlled switch: paradigm development and preliminary test Clin. Neurophysiol. 121 1304-13
15. Liu G, Huang G, Meng J and Zhu X 2010 A frequency-weighted method combined with common spatial patterns for electroencephalogram classification in brain-computer interface Biomed. Signal Process. Control 5 174-80
16. Nazarpour K, Praamstra P, Miall R C and Sanei S 2009 Steady-state movement related potentials for brain-computer interfacing IEEE Trans. Biomed. Eng. 56 2104-13
17. Vidaurre C, Krämer N, Blankertz B and Schlögl A 2009 Time domain parameters as a feature for EEG-based brain-computer interfaces Neural Netw. 22 1313-9
18. Fazli S, Popescu F, Danóczy M, Blankertz B, Müller K-R and Grozea C 2009 Subject-independent mental state classification in single trials Neural Netw. 22 1305-12
19. Hsu W-Y and Sun Y-N 2009 EEG-based motor imagery analysis using weighted wavelet transform features J. Neurosci. Methods 176 310-8
20. Nasihatkon B, Boostani R and Jahromi M Z 2009 An efficient hybrid linear and kernel CSP approach for EEG feature extraction Neurocomputing 73 432-7
21. Ince N F, Goksu F, Tewfik A H and Arica S 2009 Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain-computer interface Biomed. Signal Process. Control 4 236-46
22. Tsui C S L, Gan J Q and Roberts S J 2009 A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training Med. Biol. Eng. Comput. 47 257-65
23. Scherer R, Lee F, Schlögl A, Leeb R, Bischof H and Pfurtscheller G 2008 Toward self-paced brain-computer communication: navigation through virtual worlds IEEE Trans. Biomed. Eng. 55 675-82
24. Boye A T, Kristiansen U Q, Billinger M, do Nascimento O F and Farina D 2008 Identification of movement-related cortical potentials with optimized spatial filtering and principal component analysis Biomed. Signal Process. Control 3 300-4
25. Townsend G and Feng Y 2008 Using phase information to reveal the nature of event-related desynchronization Biomed. Signal Process. Control 3 192-202
26. Vuckovic A and Sepulveda F 2008 Quantification and visualisation of differences between two motor tasks based on energy density maps for brain-computer interface applications Clin. Neurophysiol. 119 446-58 (Pubitemid 50009230)
27. Müller K-R, Tangermann M, Dornhege G, Krauledat M, Curio G and Blankertz B 2008 Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring J. Neurosci. Methods 167 82-90 (Pubitemid 350180089)
28. Cincotti F et al 2008 High-resolution EEG techniques for brain-computer interface applications J. Neurosci. Methods 167 31-42 (Pubitemid 350180087)
29. Zhou S-M, Gan J Q and Sepulveda F 2008 Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface Inform. Sci. 178 1629-40
30. Geng T, Gan J Q, Dyson M, Tsui C S and Sepulveda F 2008 A novel design of 4-class BCI using two binary classifiers and parallel mental tasks Comput. Intell. Neurosci. 2008 5
31. Yang B, Yan G, Wu T and Yan R 2007 Subject-based feature extraction using fuzzy wavelet packet in brain-computer interfaces Signal Process. 87 1569-74 (Pubitemid 46452734)
32. Ince N F, Tewfik A H and Arica S 2007 Extraction subject-specific motor imagery time-frequency patterns for single trial EEG classification Comput. Biol. Med. 37 499-508 (Pubitemid 46150171)
33. Leeb R, Lee F, Keinrath C, Scherer R, Bischof H and Pfurtscheller G 2007 Brain-computer communication: motivation, aim and impact of exploring a virtual apartment IEEE Trans. Neural Syst. Rehabil. Eng. 15 473-82 (Pubitemid 350274168)
34. Tsui C S L and Gan J Q 2007 Asynchronous BCI control of a robot simulator with supervised online training Intelligent Data Engineering and Automated Learning-IDEAL 2007 (Lecture Notes in Computer Science vol 4881) ed H Yin, P Tino, E Corchado, W Byrne and X Yao (Berlin: Springer) pp 125-34
35. Yang B, Yan G, Yan R and Wu T 2007 Adaptive subject-based feature extraction in brain-computer interfaces using wavelet packet best basis decomposition Med. Eng. Phys. 29 48-53 (Pubitemid 44648815)
36. Pfurtscheller G, Leeb R, Keinrath C, Friedman D, Neuper C, Guger C and Slater M 2006 Walking from thought Brain Res. 1071 145-52 (Pubitemid 43255485)
37. Pfurtscheller G, Brunner C, Schlögl A and da Silva F H L 2006 Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks Neuroimage 31 153-9 (Pubitemid 43729000)
38. Gysels E, Renevey P and Celka P 2005 SVM-based recursive feature elimination to compare phase synchronization computed from broadband and narrowband EEG signals in brain-computer interfaces Signal Process. 85 2178-89 (Pubitemid 41394313)
39. Müller-Putz G R, Scherer R, Pfurtscheller G and Rupp R 2005 EEG-based neuroprosthesis control: a step towards clinical practice Neurosci. Lett. 382 169-74 (Pubitemid 40725887)
40. Lal T N, Schröder M, Hinterberger T, Weston J, Bogdan M, Birbaumer N and Schölkopf B 2004 Support vector channel selection in BCI IEEE Trans. Biomed. Eng. 51 1003-10 (Pubitemid 38661455)
41. Gysels E and Celka P 2004 Phase synchronization for the recognition of mental tasks in a brain-computer interface IEEE Trans. Neural Syst. Rehabil. Eng. 12 406-15 (Pubitemid 39620265)
42. Spiegler A, Graimann B and Pfurtscheller G 2004 Phase coupling between different motor areas during tongue-movement imagery Neurosci. Lett. 369 50-4 (Pubitemid 39369501)
43. Townsend G, Graimann B and Pfurtscheller G 2004 Continuous EEG classification during motor imagery-simulation of an asynchronous BCI IEEE Trans. Neural Syst. Rehabil. Eng. 12 258-65 (Pubitemid 38765755)
44. Wang T, Deng J and He B 2004 Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns Clin. Neurophysiol. 115 2744-53 (Pubitemid 39531337)
45. Cincotti F, Mattia D, Babiloni C, Carducci F, Salinari S, Bianchi L, Marciani M G and Babiloni F 2003 The use of EEG modifications due to motor imagery for brain-computer interfaces IEEE Trans. Neural Syst. Rehabil. Eng. 11 131-3 (Pubitemid 36935039)
46. Neuper C, Müller G R, Kübler A, Birbaumer N and Pfurtscheller G 2003 Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairment Clin. Neurophysiol. 114 399-409 (Pubitemid 36561109)
47. del R Millán J, Franzé M, Mouriño J, Cincotti F and Babiloni F 2002 Relevant EEG features for the classification of spontaneous motor-related tasks Biol. Cybern. 86 89-95
48. Babiloni F, Cincotti F, Bianchi L, Pirri G, del R Millán G P J, Mouriño J, Mouriño J, Salinari S and Marciani M G 2001 Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiers Med. Eng. Phys. 23 323-8
49. Guger C, Schlögl A, Neuper C, Walterspacher D, Strein T and Pfurtscheller G 2001 Rapid prototyping of an EEG-based brain-computer interface (BCI) IEEE Trans. Neural Syst. Rehabil. Eng. 9 49-58 (Pubitemid 32721116)
50. Pfurtscheller G and Neuper C 2001 Motor imagery and direct brain-computer communication Proc. IEEE 89 1123-34 (Pubitemid 33766616)
51. Obermaier B, Guger C, Neuper C and Pfurtscheller G 2001 Hidden Markov models for online classification of single trial EEG data Pattern Recognit. Lett. 22 1299-309 (Pubitemid 32784363)
52. Ramoser H, Müller-Gerking J and Pfurtscheller G 2000 Optimal spatial filtering of single trial EEG during imagined hand movement IEEE Trans. Rehabil. Eng. 8 441-6 (Pubitemid 32178931)
53. Babiloni F, Cincotti F, Lazzarini L, Millán J, Mouriño J, Varsta M, Heikkonen J, Bianchi L and Marciani M G 2000 Linear classification of low-resolution EEG patterns produced by imagined hand movements IEEE Trans. Rehabil. Eng. 8 186-8 (Pubitemid 30437008)
54. Costa E J X and Jr E F C 2000 EEG-based discrimination between imagination of left and right hand movements using adaptive gaussian representation Med. Eng. Phys. 22 345-8
55. del R Millán J, Mouriño J, Cincotti F, Varsta M, Heikkonen J, Topani F, Marciani M G, Kaski K and Babiloni F 2000 EEG patterns associated to spontaneous execution of mental tasks NeuroImage 11 S73
56. Dyson M, Sepulveda F and Gan J Q 2010 Localisation of cognitive tasks used in EEG-based BCIs Clin. Neurophysiol. 121 1481-93
57. Lee H, Cichocki A and Choi S 2009 Kernel nonnegative matrix factorization for spectral EEG feature extraction Neurocomputing 72 3182-90
58. Lin C-J and Hsieh M-H 2009 Classification of mental task from EEG data using neural networks based on particle swarm optimization Neurocomputing 72 1121-30
59. Dyson M, Sepulveda F, Gan J Q and Roberts S J 2009 Sequential classification of mental tasks versus idle state for EEG based BCIs Proc. 4th Int. IEEE EMBS Conf. on Neural Engineering pp 351-4
60. Galán F, Nuttin M, Lew E, Ferrez P, Vanacker G, Philips J and del R Millán J 2008 A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots Clin. Neurophysiol. 119 2159-69
61. Dyson M, Sepulveda F and Gan J Q 2008 Mental task classification against the idle state: a preliminary investigation Proc. 30th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society pp 4473-7
62. Sun S, Zhang C and Lu Y 2008 The random electrode selection ensemble for EEG signal classification Pattern Recognit. 41 1663-75
63. Cichocki A, Lee H, Kim Y-D and Choi S 2008 Non-negative matrix factorization with ?-divergence Pattern Recognit. Lett. 29 1433-40
64. Kronegg J, Chanel G, Voloshynovskiy S and Pun T 2007 EEG-based synchronized brain-computer interfaces: a model for optimizing the number of mental tasks IEEE Trans. Neural Syst. Rehabil. Eng. 15 50-8
65. Sun S, Zhang C and Zhang D 2007 An experimental evaluation of ensemble methods for EEG signal classification Pattern Recognit. Lett. 28 2157-63 (Pubitemid 47418328)
66. Sepulveda F, Dyson M, Gan J Q and Tsui C S L 2007 A comparison of mental task combinations for asynchronous EEG-based BCIs Proc. 29th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society pp 5055-8
67. Chiappa S and Barber D 2006 EEG classification using generative independent component analysis Neurocomputing 69 769-77 (Pubitemid 43230381)
68. del R Millán J, Renkens F, Mouriño J and Gerstner W 2004 Brain-actuated interaction Artif. Intell. 159 241-59
69. del R Millán J and Mouriño J 2003 Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project IEEE Trans. Neural Syst. Rehabil. Eng. 11 159-61
70. Curran E, Sykacek P, Stokes M, Roberts S J, Penny W, Johnsrude I and Owen A M 2003 Cognitive tasks for driving a brain-computer interfacing system: a pilot study IEEE Trans. Neural Syst. Rehabil. Eng. 12 48-54 (Pubitemid 38332781)
71. del R Millán J, Mouriño J, Franzé M, Cincotti F, Varsta M, Heikkonen J and Babiloni F 2002 A local neural classifier for the recognition of EEG patterns associated to mental tasks IEEE Trans. Neural Netw. 13 678-86
72. Obermaier B, Neuper C, Guger C and Pfurtscheller G 2001 Information transfer rate in a five-classes brain-computer interface IEEE Trans. Neural Syst. Rehabil. Eng. 9 283-8 (Pubitemid 32852065)
73. Penny W D, Roberts S J, Curran E A and Stokes M J 2000 EEG-based communication: a pattern recognition approach IEEE Trans. Rehabil. Eng. 8 214-5 (Pubitemid 30437018)
74. Guo L, Wu Y, Zhao L, Cao T, Yan W and Shen X 2011 Classification of mental task from EEG signals using immune feature weighted support vector machines IEEE Trans. Magn. 47 866-9
75. Palaniappan R 2006 Utilizing Gamma band to improve mental task based brain-computer interface design IEEE Trans. Neural Syst. Rehabil. Eng. 14 299-303 (Pubitemid 44543553)
76. Anderson C W, Knight J N, O'Connor T, Kirby M J and Sokolov A 2006 Geometric subspace methods and time-delay embedding for EEG artifact removal and classification IEEE Trans. Neural Syst. Rehabil. Eng. 14 142-6 (Pubitemid 44150228)
77. Palaniappan R, Paramesran R, Nishida S and Saiwaki N 2002 A new brain-computer interface design using fuzzy ARTMAP IEEE Trans. Neural Syst. Rehabil. Eng. 10 140-8 (Pubitemid 35462926)
78. Keirn Z A and Aunon J I 1990 Man-machine communications through brain-wave processing IEEE Eng. Med. Biol. Mag. 9 55-7 (Pubitemid 20250652)
79. Keirn Z A and Aunon J I 1990 A new mode of communication between man and his surroundings IEEE Trans. Biomed. Eng. 37 1209-14
80. DaSalla C S, Kambara H, Sato M and Koike Y 2009 Single-trial classification of vowel speech imagery using common spatial patterns Neural Netw. 22 1334-9
81. Faradji F, Ward R K and Birch G E 2009 Plausibility assessment of a 2-state self-paced mental task-based BCI using the no-control performance analysis J. Neurosci. Methods 180 330-9
82. Jurcak V, Tsuzuki D and Dan I 2007 10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems Neuroimage 34 1600-11 (Pubitemid 46187062)
83. Oostenveld R and Praamstra P 2001 The five percent electrode system for high-resolution EEG and ERP measurements Clin. Neurophysiol. 112 713-9 (Pubitemid 32245646)
84. Birch G E, Lawrence P D, Lind J C and Hare R D 1988 Application of prewhitening to AR spectral estimation of EEG IEEE Trans. Biomed. Eng. 35 640-5
85. Bashashati A, Fatourechi M, Ward R K and Birch G E 2006 User customization of the feature generator of an asynchronous brain interface Ann. Biomed. Eng. 34 1051-60 (Pubitemid 43954337)
86. Blanchard G and Blankertz B 2004 BCI competition 2003-data set IIa: spatial patterns of self-controlled brain rhythm modulations IEEE Trans. Biomed. Eng. 51 1062-6 (Pubitemid 38661463)
87. Franaszczuk P J, Blinowska K J and Kowalczyk M 1985 The application of parametric multichannel spectral estimates in the study of electrical brain activity Biol. Cybern. 51 239-47 (Pubitemid 15164258)
88. Palaniappan R, Raveendran P, Nishida S and Saiwaki N 2000 Autoregressive spectral analysis and model order selection criteria for EEG signals Proc. IEEE Region 10 Technical Conf. (TENCON 2000) vol 2 pp 126-9
89. Burg J P 1968 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 1978 Modern Spectrum Analysis ed D G Childers (Piscataway, NJ: IEEE) pp 42-8
90. Atkinson A C, Riani M and Cerioli A 2004 Exploring Multivariate Data with the Forward Search (New York: Springer)
91. Massey F J 1951 The Kolmogorov-Smirnov test for goodness of fit J. Am. Stat. Assoc. 46 68-78
92. Welch B L 1947 The generalization of 'student's' problem when several different population variances are involved Biometrika 34 28-35