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Volumn , Issue , 2014, Pages 1-236

Brain-Computer Interfacing for Assistive Robotics: Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces

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EID: 84940615003     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/C2013-0-23408-5     Document Type: Book
Times cited : (19)

References (383)
  • 6
    • 59649086752 scopus 로고    scopus 로고
    • A brain-computer interface using motion-onset visual evoked potential
    • Guo F., Hong B., Gao X., Gao S. A brain-computer interface using motion-onset visual evoked potential. J. Neural Eng. 2008, 5:477-485.
    • (2008) J. Neural Eng. , vol.5 , pp. 477-485
    • Guo, F.1    Hong, B.2    Gao, X.3    Gao, S.4
  • 8
    • 0023576938 scopus 로고
    • An evaluation of an eye tracker as a device for computer input 2
    • Ware C., Mikaelian H.H. An evaluation of an eye tracker as a device for computer input 2. ACM SIGCHI Bull. 1987, 18:183-188.
    • (1987) ACM SIGCHI Bull. , vol.18 , pp. 183-188
    • Ware, C.1    Mikaelian, H.H.2
  • 9
    • 55749101202 scopus 로고    scopus 로고
    • Evaluation of head orientation and neck muscle EMG signals as command inputs to a human-computer interface for individuals with high tetraplegia
    • Williams M.R., Kirsch R.F. Evaluation of head orientation and neck muscle EMG signals as command inputs to a human-computer interface for individuals with high tetraplegia. IEEE Trans. Neural. Syst. Rehabil. Eng. 2008, 16:485-496.
    • (2008) IEEE Trans. Neural. Syst. Rehabil. Eng. , vol.16 , pp. 485-496
    • Williams, M.R.1    Kirsch, R.F.2
  • 10
  • 11
    • 0022497037 scopus 로고
    • Locked-in syndrome: a review of 139 cases
    • Patterson J.R., Grabois M. Locked-in syndrome: a review of 139 cases. Stroke 1986, 17:758.
    • (1986) Stroke , vol.17 , pp. 758
    • Patterson, J.R.1    Grabois, M.2
  • 14
    • 0043171157 scopus 로고    scopus 로고
    • Guest editorial brain-computer interface technology: a review of the second international meeting
    • Vaughan T.M. Guest editorial brain-computer interface technology: a review of the second international meeting. IEEE Trans. Neural. Syst. Rehabil. Eng. 2003, 11:94-109.
    • (2003) IEEE Trans. Neural. Syst. Rehabil. Eng. , vol.11 , pp. 94-109
    • Vaughan, T.M.1
  • 15
    • 33646197940 scopus 로고    scopus 로고
    • On the possibility of developing a brain-computer interface (BCI), technical University of Darmstadt, Darmstadt, Germany
    • Felzer T. On the possibility of developing a brain-computer interface (BCI), technical University of Darmstadt, Darmstadt, Germany. Tech. Rep. 2001.
    • (2001) Tech. Rep.
    • Felzer, T.1
  • 18
    • 0015552425 scopus 로고
    • Toward direct brain-computer communication
    • Vidal J.J. Toward direct brain-computer communication. Annu. Rev. Biophys. Bioeng. 1973, 2:157-180.
    • (1973) Annu. Rev. Biophys. Bioeng. , vol.2 , pp. 157-180
    • Vidal, J.J.1
  • 20
    • 38249014187 scopus 로고
    • The brain response interface: communication through visually-induced electrical brain responses
    • Sutter E.E. The brain response interface: communication through visually-induced electrical brain responses. J. Microcomputer Appl. 1992, 15:31-45.
    • (1992) J. Microcomputer Appl. , vol.15 , pp. 31-45
    • Sutter, E.E.1
  • 21
    • 0036828974 scopus 로고    scopus 로고
    • Connecting cortex to machines: recent advances in brain interfaces
    • Donoghue J.P. Connecting cortex to machines: recent advances in brain interfaces. Nat. Neurosci. 2002, 5(Suppl):1085-1088.
    • (2002) Nat. Neurosci. , vol.5 , pp. 1085-1088
    • Donoghue, J.P.1
  • 22
    • 47749088937 scopus 로고    scopus 로고
    • A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots
    • Galan F., Nuttin M., Lew E., Ferrez P.W., Vanacker G., Philips J., et al. A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots. Clin. Neurophysiol. 2008, 119:2159-2169.
    • (2008) Clin. Neurophysiol. , vol.119 , pp. 2159-2169
    • Galan, F.1    Nuttin, M.2    Lew, E.3    Ferrez, P.W.4    Vanacker, G.5    Philips, J.6
  • 24
    • 70350217469 scopus 로고    scopus 로고
    • A feasibility study of non-invasive motor-imagery BCI-based robotic rehabilitation for stroke patients, in Neural Engineering, 2009. NER'09.
    • 4th International IEEE/EMBS Conference on
    • C. Wang, K.S. Phua, K.K. Ang, C. Guan, H. Zhang, R. Lin, et al., A feasibility study of non-invasive motor-imagery BCI-based robotic rehabilitation for stroke patients, in Neural Engineering, 2009. NER'09. 4th International IEEE/EMBS Conference on, (2009) 271-274.
    • (2009) , pp. 271-274
    • Wang, C.1    Phua, K.S.2    Ang, K.K.3    Guan, C.4    Zhang, H.5    Lin, R.6
  • 25
    • 29244468268 scopus 로고    scopus 로고
    • Global brain atrophy and corticospinal tract alterations in ALS, as investigated by voxel-based morphometry of 3-D MRI
    • Kassubek J., Unrath A., Huppertz H.J., Lulé D., Ethofer T., Sperfeld A.D., et al. Global brain atrophy and corticospinal tract alterations in ALS, as investigated by voxel-based morphometry of 3-D MRI. Amyotroph. Lat. Scler. 2005, 6:213-220.
    • (2005) Amyotroph. Lat. Scler. , vol.6 , pp. 213-220
    • Kassubek, J.1    Unrath, A.2    Huppertz, H.J.3    Lulé, D.4    Ethofer, T.5    Sperfeld, A.D.6
  • 26
    • 74049161306 scopus 로고    scopus 로고
    • Spinal cord injury
    • Sonksen P., Hillier S. Spinal cord injury. Br. Med. J. 2010, 340:922-924.
    • (2010) Br. Med. J. , vol.340 , pp. 922-924
    • Sonksen, P.1    Hillier, S.2
  • 27
    • 33646785751 scopus 로고    scopus 로고
    • The timing of surgical intervention in the treatment of spinal cord injury: a systematic review of recent clinical evidence
    • Fehlings M.G., Perrin R.G. The timing of surgical intervention in the treatment of spinal cord injury: a systematic review of recent clinical evidence. Spine 2006, 31:S28.
    • (2006) Spine , vol.31 , pp. S28
    • Fehlings, M.G.1    Perrin, R.G.2
  • 28
    • 0030053797 scopus 로고    scopus 로고
    • Functional outcome in brain stem stroke patients after rehabilitation
    • Chua K.S.G., Kong K.H. Functional outcome in brain stem stroke patients after rehabilitation. Arch. Phys. Med. Rehabil. 1996, 77:194-197.
    • (1996) Arch. Phys. Med. Rehabil. , vol.77 , pp. 194-197
    • Chua, K.S.G.1    Kong, K.H.2
  • 29
    • 0009076107 scopus 로고
    • Acute brain stem stroke during neck manipulation
    • Daneshmend T.K. Acute brain stem stroke during neck manipulation. Br. Med. J. (Clin. Res. Ed.) 1984, 288:1090.
    • (1984) Br. Med. J. (Clin. Res. Ed.) , vol.288 , pp. 1090
    • Daneshmend, T.K.1
  • 32
    • 0003886358 scopus 로고    scopus 로고
    • Handbook of electroencephalography and clinical neurophysiology - revised series:
    • Event-related desynchronization, Elsevier
    • G. Pfurtscheller F. Lopes da Silva H, Handbook of electroencephalography and clinical neurophysiology - revised series: vol. 6. Event-related desynchronization, Elsevier (1999).
    • (1999) , vol.6
    • Pfurtscheller, G.1    Lopes da Silva, F.H.2
  • 33
    • 34249775531 scopus 로고    scopus 로고
    • Semiparametric filtering of spatial autocorrelation: the eigenvector approach
    • Tiefelsdorf M., Griffith D.A. Semiparametric filtering of spatial autocorrelation: the eigenvector approach. Environ. Plann. A 2007, 39:1193-1221.
    • (2007) Environ. Plann. A , vol.39 , pp. 1193-1221
    • Tiefelsdorf, M.1    Griffith, D.A.2
  • 35
    • 62149104029 scopus 로고    scopus 로고
    • 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
    • Tsui C.S.L., Gan J.Q., Roberts S.J. 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. 2009, 47:257-265.
    • (2009) Med. Biol. Eng. Comput. , vol.47 , pp. 257-265
    • Tsui, C.S.L.1    Gan, J.Q.2    Roberts, S.J.3
  • 37
    • 84944396353 scopus 로고    scopus 로고
    • A novel EEG signal enhancement approach using a recurrent quantum neural network for a brain-computer interface
    • Technically Assisted Rehabilitation, Berlin
    • Gandhi V., Arora V., Prasad G., Coyle D., McGinnity T.M. A novel EEG signal enhancement approach using a recurrent quantum neural network for a brain-computer interface. 3rd European Conference 2011, Technically Assisted Rehabilitation, Berlin.
    • (2011) 3rd European Conference
    • Gandhi, V.1    Arora, V.2    Prasad, G.3    Coyle, D.4    McGinnity, T.M.5
  • 38
    • 77955680222 scopus 로고    scopus 로고
    • Motor imaginary signal classification using adaptive recursive bandpass filter and adaptive autoregressive models for brain machine interface designs
    • Jeyabalan V., Samraj A., Kiong L.C. Motor imaginary signal classification using adaptive recursive bandpass filter and adaptive autoregressive models for brain machine interface designs. Int. J. Biol. Med. Sci. 2008, 3:236-243.
    • (2008) Int. J. Biol. Med. Sci. , vol.3 , pp. 236-243
    • Jeyabalan, V.1    Samraj, A.2    Kiong, L.C.3
  • 39
    • 56349154859 scopus 로고    scopus 로고
    • Intelligent Preprocessing and Feature Extraction Techniques for a Brain Computer Interface
    • PhD Thesis, University of Ulster
    • D. Coyle, Intelligent Preprocessing and Feature Extraction Techniques for a Brain Computer Interface, PhD Thesis, University of Ulster, 2006.
    • (2006)
    • Coyle, D.1
  • 40
    • 34548553058 scopus 로고    scopus 로고
    • Channel selection and feature projection for cognitive load estimation using ambulatory EEG
    • Lan T., Erdogmus D., Adami A., Mathan S., Pavel M. Channel selection and feature projection for cognitive load estimation using ambulatory EEG. Comput. Intell. Neurosci. 2007, 2007:8.
    • (2007) Comput. Intell. Neurosci. , vol.2007 , pp. 8
    • Lan, T.1    Erdogmus, D.2    Adami, A.3    Mathan, S.4    Pavel, M.5
  • 41
    • 11244306398 scopus 로고    scopus 로고
    • A novel wavelet based technique for detection and de-noising of ocular artifact in normal and epileptic electroencephalogram
    • Circuits and Systems
    • Ramanan S.V., Kalpakam N., Sahambi J. A novel wavelet based technique for detection and de-noising of ocular artifact in normal and epileptic electroencephalogram. International Conference on Communications 2004, pp. 1027-1031, Circuits and Systems.
    • (2004) International Conference on Communications , pp. 1027-1031
    • Ramanan, S.V.1    Kalpakam, N.2    Sahambi, J.3
  • 42
    • 38049046931 scopus 로고    scopus 로고
    • Fourier and wavelet analyses of normal and epileptic electroencephalogram (EEG)
    • Yamaguchi C. Fourier and wavelet analyses of normal and epileptic electroencephalogram (EEG). First Int. IEEE EMBS Conf. Neural Eng. 2003, 406-409.
    • (2003) First Int. IEEE EMBS Conf. Neural Eng. , pp. 406-409
    • Yamaguchi, C.1
  • 43
    • 0034144007 scopus 로고    scopus 로고
    • Removal of ocular artifact from the EEG: a review
    • Croft R.J., Barry R.J. Removal of ocular artifact from the EEG: a review. Neurophysiol. Clin. 2000, 30:5-19.
    • (2000) Neurophysiol. Clin. , vol.30 , pp. 5-19
    • Croft, R.J.1    Barry, R.J.2
  • 45
    • 34248578928 scopus 로고    scopus 로고
    • EEG-based synchronized brain-computer interfaces: a model for optimizing the number of mental tasks
    • Kronegg J., Chanel G., Voloshynovskiy S., Pun T. EEG-based synchronized brain-computer interfaces: a model for optimizing the number of mental tasks. IEEE Trans. Neural Syst. Rehabil. Eng. 2007, 15:50-58.
    • (2007) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.15 , pp. 50-58
    • Kronegg, J.1    Chanel, G.2    Voloshynovskiy, S.3    Pun, T.4
  • 46
    • 29544445640 scopus 로고    scopus 로고
    • A time-series prediction approach for feature extraction in a brain-computer interface
    • Coyle D., Prasad G., McGinnity T.M. A time-series prediction approach for feature extraction in a brain-computer interface. IEEE Trans. Neural. Syst. Rehabil. Eng. 2005, 13:461-467.
    • (2005) IEEE Trans. Neural. Syst. Rehabil. Eng. , vol.13 , pp. 461-467
    • Coyle, D.1    Prasad, G.2    McGinnity, T.M.3
  • 47
    • 11144283108 scopus 로고    scopus 로고
    • Extracting features for a brain-computer interface by self-organising fuzzy neural network-based time series prediction
    • Coyle D., Prasad G., McGinnity T.M. Extracting features for a brain-computer interface by self-organising fuzzy neural network-based time series prediction. 26th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2004.
    • (2004) 26th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.
    • Coyle, D.1    Prasad, G.2    McGinnity, T.M.3
  • 48
    • 33751261595 scopus 로고    scopus 로고
    • A time-frequency approach to feature extraction for a brain-computer interface with a comparative analysis of performance measures
    • Coyle D., Prasad G., McGinnity T.M. A time-frequency approach to feature extraction for a brain-computer interface with a comparative analysis of performance measures. EURASIP J. Appl. Signal Processing 2005, 19:3141-3151.
    • (2005) EURASIP J. Appl. Signal Processing , vol.19 , pp. 3141-3151
    • Coyle, D.1    Prasad, G.2    McGinnity, T.M.3
  • 49
    • 49649127153 scopus 로고    scopus 로고
    • Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification
    • Herman P., Prasad G., McGinnity T.M., Coyle D. Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification. IEEE Trans. Neural. Syst. Rehabil. Eng. 2008, 16:317-326.
    • (2008) IEEE Trans. Neural. Syst. Rehabil. Eng. , vol.16 , pp. 317-326
    • Herman, P.1    Prasad, G.2    McGinnity, T.M.3    Coyle, D.4
  • 53
  • 55
    • 84944404580 scopus 로고    scopus 로고
    • Interfacing a dynamic interface paradigm for multiple target selection using a two class brain computer interface
    • Indo - US Workshop on System of Systems Engineering
    • V. Gandhi, D. Coyle, G. Prasad, C. Bharti, L. Behera T. McGinnity M., Interfacing a dynamic interface paradigm for multiple target selection using a two class brain computer interface, in Indo - US Workshop on System of Systems Engineering, (2009).
    • (2009)
    • Gandhi, V.1    Coyle, D.2    Prasad, G.3    Bharti, C.4    Behera, L.5    McGinnity, T.M.6
  • 58
    • 0037630042 scopus 로고    scopus 로고
    • A flexible brain-computer interface
    • Ph.D. Thesis, University of Rochester
    • J. D. Bayliss, A flexible brain-computer interface, Ph.D. Thesis, University of Rochester, 2001.
    • (2001)
    • Bayliss, J.D.1
  • 60
    • 84892653065 scopus 로고    scopus 로고
    • Brain-Computer Interfaces: Design and Implementation of an Online BCI System for the Control in Gaming Applications an Virtual Limbs
    • R. Krepkiy, Brain-Computer Interfaces: Design and Implementation of an Online BCI System for the Control in Gaming Applications an Virtual Limbs. VDM Verlag Dr. Muller, 2008.
    • (2008) VDM Verlag Dr. Muller
    • Krepkiy, R.1
  • 61
    • 0029890056 scopus 로고    scopus 로고
    • The neurophysiological basis of motor imagery
    • Decety J. The neurophysiological basis of motor imagery. Behav. Brain Res. 1996, 77:45-52.
    • (1996) Behav. Brain Res. , vol.77 , pp. 45-52
    • Decety, J.1
  • 62
    • 0029051143 scopus 로고
    • Grasping objects: the cortical mechanisms of visuomotor transformation
    • Jeannerod M., Arbib M.A., Rizzolatti G., Sakata H. Grasping objects: the cortical mechanisms of visuomotor transformation. Trends Neurosci. 1995, 18:314-320.
    • (1995) Trends Neurosci. , vol.18 , pp. 314-320
    • Jeannerod, M.1    Arbib, M.A.2    Rizzolatti, G.3    Sakata, H.4
  • 63
    • 84944402921 scopus 로고    scopus 로고
    • g. Tec EEG and cap [Online]. Available: (accessed 16.07.14).
    • g. Tec EEG and cap [Online]. Available: (accessed 16.07.14). http://www.gtec.at/Products/Electrodes-and-Sensors/g.SAHARA-Specs-Features.
  • 65
    • 84944392906 scopus 로고    scopus 로고
    • XVI, 488 Illus. with CD-ROM. 0-306-48609-1, Springer, Berlin, B. He (Ed.)
    • He B. Neural Engineering, Neural Engineering 2005, XVI, 488 p.203 Illus. with CD-ROM. 0-306-48609-1, Springer, Berlin. B. He (Ed.).
    • (2005) Neural Engineering, Neural Engineering , pp. 203
    • He, B.1
  • 67
    • 4344574647 scopus 로고    scopus 로고
    • Fundamentals of EEG measurement
    • Teplan M. Fundamentals of EEG measurement. Meas. Sci. Rev. 2002, 2:1-11.
    • (2002) Meas. Sci. Rev. , vol.2 , pp. 1-11
    • Teplan, M.1
  • 68
    • 33749601351 scopus 로고    scopus 로고
    • Gamma and beta neural activity evoked during a sensory gating paradigm: effects of auditory, somatosensory and cross-modal stimulation
    • Kisley M.A., Cornwell Z.M. Gamma and beta neural activity evoked during a sensory gating paradigm: effects of auditory, somatosensory and cross-modal stimulation. Clin. Neurophysiol. 2006, 117:2549-2563.
    • (2006) Clin. Neurophysiol. , vol.117 , pp. 2549-2563
    • Kisley, M.A.1    Cornwell, Z.M.2
  • 69
    • 85013858203 scopus 로고    scopus 로고
    • User research causal influence of gamma oscillations on the sensorimotor-rhythm
    • M. Grosse-Wentrup, B. Schölkopf, J. Hill, User research causal influence of gamma oscillations on the sensorimotor-rhythm, Brain 35 (2010).
    • (2010) Brain , vol.35
    • Grosse-Wentrup, M.1    Schölkopf, B.2    Hill, J.3
  • 70
    • 79955010362 scopus 로고    scopus 로고
    • Causal influence of gamma oscillations on the sensorimotor rhythm
    • Grosse-Wentrup M., Schölkopf B., Hill J. Causal influence of gamma oscillations on the sensorimotor rhythm. Neuroimage 2011, 56:837-842.
    • (2011) Neuroimage , vol.56 , pp. 837-842
    • Grosse-Wentrup, M.1    Schölkopf, B.2    Hill, J.3
  • 71
    • 79953706979 scopus 로고    scopus 로고
    • Models of EEG Data Mining and Classification in Temporal Lobe Epilepsy: Wavelet-Chaos-Neural Network Methodology and Spiking Neural Networks
    • PhD. Thesis, The Ohio State University
    • SG Dastidar, Models of EEG Data Mining and Classification in Temporal Lobe Epilepsy: Wavelet-Chaos-Neural Network Methodology and Spiking Neural Networks, PhD. Thesis, The Ohio State University, 2007.
    • (2007)
    • Dastidar, S.G.1
  • 72
    • 85013754202 scopus 로고    scopus 로고
    • Asynchronous BCI control of a robot simulator with supervised online training
    • Tsui C., Gan J. Asynchronous BCI control of a robot simulator with supervised online training. Intell. Data Eng. Autom. Learn. -IDEAL 2007, 2007:125-134.
    • (2007) Intell. Data Eng. Autom. Learn. -IDEAL , vol.2007 , pp. 125-134
    • Tsui, C.1    Gan, J.2
  • 74
    • 0041739273 scopus 로고    scopus 로고
    • Adaptive brain interfaces
    • José d.e.l., Millán R. Adaptive brain interfaces. Commun. ACM 2003, 46.
    • (2003) Commun. ACM , vol.46
    • José, D.1    Millán, R.2
  • 75
    • 80053930782 scopus 로고    scopus 로고
    • Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects
    • Choi D., Ryu Y., Lee Y., Lee M., Choi D., Ryu Y., et al. Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects. Biomed. Eng. Online 2011, 10:1-12.
    • (2011) Biomed. Eng. Online , vol.10 , pp. 1-12
    • Choi, D.1    Ryu, Y.2    Lee, Y.3    Lee, M.4    Choi, D.5    Ryu, Y.6
  • 76
    • 2942670993 scopus 로고    scopus 로고
    • Continuous EEG classification during motor imagery-simulation of an asynchronous BCI, Neural Systems and Rehabilitation Engineering
    • IEEE Transactions on, 12,
    • G. Townsend, B. Graimann, G. Pfurtscheller, Continuous EEG classification during motor imagery-simulation of an asynchronous BCI, Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 12, (2004) 258-265.
    • (2004) , pp. 258-265
    • Townsend, G.1    Graimann, B.2    Pfurtscheller, G.3
  • 77
    • 79954483670 scopus 로고    scopus 로고
    • A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities
    • Leeb R., Sagha H., Chavarriaga R., Millán J.R. A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities. J. Neural Eng. 2011, 8:025011.
    • (2011) J. Neural Eng. , vol.8
    • Leeb, R.1    Sagha, H.2    Chavarriaga, R.3    Millán, J.R.4
  • 80
    • 61849088331 scopus 로고    scopus 로고
    • Motor prediction in brain-computer interfaces for controlling mobile robots
    • Geng T., Gan J.Q. Motor prediction in brain-computer interfaces for controlling mobile robots. 30th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2008, 634-637.
    • (2008) 30th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. , pp. 634-637
    • Geng, T.1    Gan, J.Q.2
  • 83
    • 8044241596 scopus 로고    scopus 로고
    • Possible involvement of primary motor cortex in mentally simulated movement: a functional magnetic resonance imaging study
    • Roth M., Decety J., Raybaudi M., Massarelli R., Delon-Martin C., Segebarth C., et al. Possible involvement of primary motor cortex in mentally simulated movement: a functional magnetic resonance imaging study. Neuroreport 1996, 7:1280.
    • (1996) Neuroreport , vol.7 , pp. 1280
    • Roth, M.1    Decety, J.2    Raybaudi, M.3    Massarelli, R.4    Delon-Martin, C.5    Segebarth, C.6
  • 84
    • 0027510591 scopus 로고
    • Central activation of autonomic effectors during mental simulation of motor actions in man
    • Decety J., Jeannerod M., Durozard D., Baverel G. Central activation of autonomic effectors during mental simulation of motor actions in man. J. Physiol. (Lond.) 1993, 461:549.
    • (1993) J. Physiol. (Lond.) , vol.461 , pp. 549
    • Decety, J.1    Jeannerod, M.2    Durozard, D.3    Baverel, G.4
  • 85
    • 0026668287 scopus 로고
    • Strength increases from the motor program: comparison of training with maximal voluntary and imagined muscle contractions
    • Yue G., Cole K.J. Strength increases from the motor program: comparison of training with maximal voluntary and imagined muscle contractions. J. Neurophysiol. 1992, 67:1114.
    • (1992) J. Neurophysiol. , vol.67 , pp. 1114
    • Yue, G.1    Cole, K.J.2
  • 88
    • 0000147667 scopus 로고
    • The ten-twenty electrode system of the International federation
    • Jasper H. The ten-twenty electrode system of the International federation. Electroencephalogr. Clin. Neurophysiol. 1958, 10:371-375.
    • (1958) Electroencephalogr. Clin. Neurophysiol. , vol.10 , pp. 371-375
    • Jasper, H.1
  • 89
  • 90
    • 0027368091 scopus 로고
    • Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts
    • Pivik R.T., Broughton R.J., Coppola R., Davidson R.J., Fox N., Nuwer M.R. Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. Psychophysiology 1993, 30:547-558.
    • (1993) Psychophysiology , vol.30 , pp. 547-558
    • Pivik, R.T.1    Broughton, R.J.2    Coppola, R.3    Davidson, R.J.4    Fox, N.5    Nuwer, M.R.6
  • 92
    • 0019971734 scopus 로고
    • Breath suspension during the Transcendental Meditation technique
    • Farrow J.T., Hebert J.R. Breath suspension during the Transcendental Meditation technique. Psychosom. Med. 1982, 44:133-153.
    • (1982) Psychosom. Med. , vol.44 , pp. 133-153
    • Farrow, J.T.1    Hebert, J.R.2
  • 93
    • 84944394100 scopus 로고    scopus 로고
    • [Online]. Available: (accessed April 2014). Also available on: (accessed 16.07.14) .
    • Neurodiagnostic policies and procedures manual. 2010. [Online]. Available: (accessed April 2014). Also available on: (accessed 16.07.14) . http://www.scribd.com/doc/152597824/Stanford-Neurodiagnostics-Policies-Manual-2010.
    • (2010)
  • 94
    • 84944387869 scopus 로고    scopus 로고
    • Electroencephalography [Online]. Available: (accessed 16.07.14).
    • Electroencephalography [Online]. Available: (accessed 16.07.14). http://en.wikipedia.org/wiki/Electroencephalography.
  • 96
    • 84944411128 scopus 로고    scopus 로고
    • Brain Computer Interface with g.MOBIlab and Simulink, g.Tec
    • (accessed 16.07.14).
    • C. Guger, Brain Computer Interface with g.MOBIlab and Simulink, g.Tec. Available online at: (accessed 16.07.14). http://www.gtec.at/content/download/1859/11556/version/4/#.
    • Guger, C.1
  • 97
    • 34247266129 scopus 로고    scopus 로고
    • A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals
    • Bashashati A., Fatourechi M., Ward R.K., Birch G.E. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J. Neural Eng. 2007, 4:R32-57.
    • (2007) J. Neural Eng. , vol.4 , pp. R32-57
    • Bashashati, A.1    Fatourechi, M.2    Ward, R.K.3    Birch, G.E.4
  • 98
    • 0013854584 scopus 로고
    • Evoked-potential correlates of stimulus uncertainty
    • Sutton S., Braren M., Zubin J., John E.R. Evoked-potential correlates of stimulus uncertainty. Science 1965, 150:1187.
    • (1965) Science , vol.150 , pp. 1187
    • Sutton, S.1    Braren, M.2    Zubin, J.3    John, E.R.4
  • 99
    • 0023756085 scopus 로고
    • Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
    • Farwell L.A., Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol. 1988, 70:510-523.
    • (1988) Electroencephalogr. Clin. Neurophysiol. , vol.70 , pp. 510-523
    • Farwell, L.A.1    Donchin, E.2
  • 100
    • 0034210646 scopus 로고    scopus 로고
    • The mental prosthesis: assessing the speed of a P300-based brain-computer interface
    • Donchin E., Spencer K.M., Wijesinghe R. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. IEEE Trans. Rehabil. Eng. 2000, 8:174-179.
    • (2000) IEEE Trans. Rehabil. Eng. , vol.8 , pp. 174-179
    • Donchin, E.1    Spencer, K.M.2    Wijesinghe, R.3
  • 101
    • 44449099362 scopus 로고    scopus 로고
    • Brain-computer interfacing for intelligent systems
    • Nijholt A., Tan D. Brain-computer interfacing for intelligent systems. IEEE Intell. Syst. 2008, 23:72-79.
    • (2008) IEEE Intell. Syst. , vol.23 , pp. 72-79
    • Nijholt, A.1    Tan, D.2
  • 102
    • 39749132355 scopus 로고    scopus 로고
    • R Millan, Error-related EEG potentials generated during simulated brain-computer interaction
    • Ferrez P.W., del J. R Millan, Error-related EEG potentials generated during simulated brain-computer interaction. IEEE Trans. Biomed. Eng. 2008, 55:923-929.
    • (2008) IEEE Trans. Biomed. Eng. , vol.55 , pp. 923-929
    • Ferrez, P.W.1    del, J.2
  • 104
    • 0017489269 scopus 로고
    • Real-time detection of brain events in EEG
    • Vidal J.J. Real-time detection of brain events in EEG. Proc. IEEE 1977, 65:633-641.
    • (1977) Proc. IEEE , vol.65 , pp. 633-641
    • Vidal, J.J.1
  • 105
    • 0029931586 scopus 로고    scopus 로고
    • Selective attention to stimulus location modulates the steady-state visual evoked potential
    • Morgan S.T., Hansen J.C., Hillyard S.A. Selective attention to stimulus location modulates the steady-state visual evoked potential. Proc. Natl. Acad. Sci. 1996, 93:4770.
    • (1996) Proc. Natl. Acad. Sci. , vol.93 , pp. 4770
    • Morgan, S.T.1    Hansen, J.C.2    Hillyard, S.A.3
  • 107
    • 33845609252 scopus 로고    scopus 로고
    • Motion-onset VEPs: characteristics, methods, and diagnostic use
    • Kuba M., Kubova Z., Kremlacek J., Langrova J. Motion-onset VEPs: characteristics, methods, and diagnostic use. Vision Res. 2007, 47:189-202.
    • (2007) Vision Res. , vol.47 , pp. 189-202
    • Kuba, M.1    Kubova, Z.2    Kremlacek, J.3    Langrova, J.4
  • 108
    • 33947107460 scopus 로고    scopus 로고
    • A primer on motion visual evoked potentials
    • Heinrich S.P. A primer on motion visual evoked potentials. Doc. Ophthalmol. 2007, 114:83-105.
    • (2007) Doc. Ophthalmol. , vol.114 , pp. 83-105
    • Heinrich, S.P.1
  • 109
    • 85013756184 scopus 로고    scopus 로고
    • Role of latency jittering correction in motion-onset VEP amplitude decay during prolonged visual stimulation
    • Kremlcek J., Hulan M., Kuba M., Kubov Z., Langrov J., Vt F., et al. Role of latency jittering correction in motion-onset VEP amplitude decay during prolonged visual stimulation. Doc. Ophthalmol. 2012, 1-13.
    • (2012) Doc. Ophthalmol. , pp. 1-13
    • Kremlcek, J.1    Hulan, M.2    Kuba, M.3    Kubov, Z.4    Langrov, J.5    Vt, F.6
  • 110
    • 69549089812 scopus 로고    scopus 로고
    • N200-speller using motion-onset visual response
    • Hong B., Guo F., Liu T., Gao X., Gao S. N200-speller using motion-onset visual response. Clin. Neurophysiol. 2009, 120:1658-1666.
    • (2009) Clin. Neurophysiol. , vol.120 , pp. 1658-1666
    • Hong, B.1    Guo, F.2    Liu, T.3    Gao, X.4    Gao, S.5
  • 113
  • 116
    • 0032829330 scopus 로고    scopus 로고
    • Event-related EEG/MEG synchronization and desynchronization: basic principles
    • Pfurtscheller G., Lopes da Silva F.H. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol. 1999, 110:1842-1857.
    • (1999) Clin. Neurophysiol. , vol.110 , pp. 1842-1857
    • Pfurtscheller, G.1    Lopes da Silva, F.H.2
  • 117
    • 0017685959 scopus 로고
    • Event-related cortical desynchronization detected by power measurements of scalp EEG
    • Pfurtscheller G., Aranibar A. Event-related cortical desynchronization detected by power measurements of scalp EEG. Electroencephalogr. Clin. Neurophysiol. 1977, 42:817-826.
    • (1977) Electroencephalogr. Clin. Neurophysiol. , vol.42 , pp. 817-826
    • Pfurtscheller, G.1    Aranibar, A.2
  • 118
    • 0017700883 scopus 로고
    • Graphical display and statistical evaluation of event-related desynchronization (ERD)
    • Pfurtscheller G. Graphical display and statistical evaluation of event-related desynchronization (ERD). Electroencephalogr. Clin. Neurophysiol. 1977, 43:757-760.
    • (1977) Electroencephalogr. Clin. Neurophysiol. , vol.43 , pp. 757-760
    • Pfurtscheller, G.1
  • 119
    • 0026625285 scopus 로고
    • Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest
    • Pfurtscheller G. Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest. Electroencephalogr. Clin. Neurophysiol. 1992, vol. 83:62-69.
    • (1992) Electroencephalogr. Clin. Neurophysiol. , vol.83 , pp. 62-69
    • Pfurtscheller, G.1
  • 121
    • 0000294854 scopus 로고    scopus 로고
    • Motor imagery and direct brain-computer communication
    • Pfurtscheller G., Neuper C. Motor imagery and direct brain-computer communication. Proc. IEEE 2001, 89:1123-1134.
    • (2001) Proc. IEEE , vol.89 , pp. 1123-1134
    • Pfurtscheller, G.1    Neuper, C.2
  • 123
    • 47349088436 scopus 로고    scopus 로고
    • Sensorimotor rhythm-based brain-computer interface (BCI): model order selection for autoregressive spectral analysis
    • McFarland D.J., Wolpaw J.R. Sensorimotor rhythm-based brain-computer interface (BCI): model order selection for autoregressive spectral analysis. J. Neural Eng. 2008, 5:155.
    • (2008) J. Neural Eng. , vol.5 , pp. 155
    • McFarland, D.J.1    Wolpaw, J.R.2
  • 124
    • 26244441994 scopus 로고    scopus 로고
    • Sensorimotor rhythm-based brain-computer interface (BCI): feature selection by regression improves performance
    • IEEE Transactions 13
    • D.J. McFarland, J.R. Wolpaw, Sensorimotor rhythm-based brain-computer interface (BCI): feature selection by regression improves performance, Neural Systems and Rehabilitation Engineering, IEEE Transactions 13 (2005) 372-379.
    • (2005) Neural Systems and Rehabilitation Engineering , pp. 372-379
    • McFarland, D.J.1    Wolpaw, J.R.2
  • 125
    • 0034105909 scopus 로고    scopus 로고
    • Mu and beta rhythm topographies during motor imagery and actual movements
    • McFarland D.J., Miner L.A., Vaughan T.M., Wolpaw J.R. Mu and beta rhythm topographies during motor imagery and actual movements. Brain Topogr. 2000, 12:177-186.
    • (2000) Brain Topogr. , vol.12 , pp. 177-186
    • McFarland, D.J.1    Miner, L.A.2    Vaughan, T.M.3    Wolpaw, J.R.4
  • 126
    • 79954514216 scopus 로고    scopus 로고
    • Sensorimotor rhythm-based brain-computer interface training: the impact on motor cortical responsiveness
    • Pichiorri F., Fallani F.D.V., Cincotti F., Babiloni F., Molinari M., Kleih S., et al. Sensorimotor rhythm-based brain-computer interface training: the impact on motor cortical responsiveness. J. Neural Eng. 2011, 8:025020.
    • (2011) J. Neural Eng. , vol.8
    • Pichiorri, F.1    Fallani, F.D.V.2    Cincotti, F.3    Babiloni, F.4    Molinari, M.5    Kleih, S.6
  • 127
    • 18844424753 scopus 로고    scopus 로고
    • Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface
    • Kübler A., Nijboer F., Mellinger J., Vaughan T.M., Pawelzik H., Schalk G., et al. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology 2005, 64:1775-1777.
    • (2005) Neurology , vol.64 , pp. 1775-1777
    • Kübler, A.1    Nijboer, F.2    Mellinger, J.3    Vaughan, T.M.4    Pawelzik, H.5    Schalk, G.6
  • 129
    • 77950993793 scopus 로고    scopus 로고
    • A sensorimotor rhythm based goal selection brain-computer interface, in Engineering in Medicine and Biology Society, 2009. EMBC 2009
    • Royer A.S., McCullough A., He B. A sensorimotor rhythm based goal selection brain-computer interface, in Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annu. Int. Conf. IEEE 2009, 575-577.
    • (2009) Annu. Int. Conf. IEEE , pp. 575-577
    • Royer, A.S.1    McCullough, A.2    He, B.3
  • 130
    • 84155166861 scopus 로고    scopus 로고
    • Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain-computer interface
    • Krusienski D.J., McFarland D.J., Wolpaw J.R. Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain-computer interface. Brain Res. Bull. 2012, 87:130-134.
    • (2012) Brain Res. Bull. , vol.87 , pp. 130-134
    • Krusienski, D.J.1    McFarland, D.J.2    Wolpaw, J.R.3
  • 136
    • 33846629898 scopus 로고    scopus 로고
    • Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
    • Delorme A., Sejnowski T., Makeig S. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. Neuroimage 2007, 34:1443-1449.
    • (2007) Neuroimage , vol.34 , pp. 1443-1449
    • Delorme, A.1    Sejnowski, T.2    Makeig, S.3
  • 137
    • 57349155730 scopus 로고    scopus 로고
    • Ocular reduction in EEG signals based on adaptive filtering, regression and blind source separation
    • Romero S., Mañanas M.A., Barbanoj M.J. Ocular reduction in EEG signals based on adaptive filtering, regression and blind source separation. Ann. Biomed. Eng. 2009, 37:176-191.
    • (2009) Ann. Biomed. Eng. , vol.37 , pp. 176-191
    • Romero, S.1    Mañanas, M.A.2    Barbanoj, M.J.3
  • 139
    • 0043208851 scopus 로고    scopus 로고
    • Smooth pursuit and antisaccade performance evidence trait stability in schizophrenia patients and their relatives
    • Calkins M.E., Iacono W.G., Curtis C.E. Smooth pursuit and antisaccade performance evidence trait stability in schizophrenia patients and their relatives. Int. J. Psychophysiol. 2003, 49:139-146.
    • (2003) Int. J. Psychophysiol. , vol.49 , pp. 139-146
    • Calkins, M.E.1    Iacono, W.G.2    Curtis, C.E.3
  • 141
    • 0034470419 scopus 로고    scopus 로고
    • Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI)
    • Guger C., Ramoser H., Pfurtscheller G. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). IEEE Trans. Rehabil. Eng. 2000, 8:447-456.
    • (2000) IEEE Trans. Rehabil. Eng. , vol.8 , pp. 447-456
    • Guger, C.1    Ramoser, H.2    Pfurtscheller, G.3
  • 142
    • 84055167175 scopus 로고    scopus 로고
    • ICA and committee machine-based algorithm for cursor control in a BCI system
    • Qin J., Li Y., Cichocki A. ICA and committee machine-based algorithm for cursor control in a BCI system. Adv. Neural Netw. - ISNN 2005, 2005:293-318.
    • (2005) Adv. Neural Netw. - ISNN , vol.2005 , pp. 293-318
    • Qin, J.1    Li, Y.2    Cichocki, A.3
  • 143
    • 77952523480 scopus 로고    scopus 로고
    • Using single/multi-channel energy transform as preprocessing tool for magnetoencephalographic data-based applications
    • Communications and Computer (CONIELECOMP)
    • Gutiérrez D. Using single/multi-channel energy transform as preprocessing tool for magnetoencephalographic data-based applications. 20th International Conference on Electronics 2010, pp. 114-118, Communications and Computer (CONIELECOMP).
    • (2010) 20th International Conference on Electronics , pp. 114-118
    • Gutiérrez, D.1
  • 146
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson K. On lines and planes of closest fit to systems of points in space. Philos. Mag. Ser. 6 1901, 2:559-572.
    • (1901) Philos. Mag. Ser. 6 , vol.2 , pp. 559-572
    • Pearson, K.1
  • 148
    • 0026191274 scopus 로고
    • Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
    • Jutten C., Herault J. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Process. 1991, 24:1-10.
    • (1991) Signal Process. , vol.24 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 150
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • Comon P. Independent component analysis, a new concept?. Signal Process. 1994, 36:287-314.
    • (1994) Signal Process. , vol.36 , pp. 287-314
    • Comon, P.1
  • 153
    • 84956611451 scopus 로고    scopus 로고
    • A maximum likelihood approach to nonlinear blind source separation
    • Pajunen P., Karhunen J. A maximum likelihood approach to nonlinear blind source separation. Artif. Neural Netw. - ICANN'97 1997, 541-546.
    • (1997) Artif. Neural Netw. - ICANN'97 , pp. 541-546
    • Pajunen, P.1    Karhunen, J.2
  • 154
    • 84944401268 scopus 로고    scopus 로고
    • Enhancing brain-computer interfacing through advanced independent component analysis techniques.
    • Ph. D. Thesis, University of Southampton
    • S. Wang, Enhancing brain-computer interfacing through advanced independent component analysis techniques. Ph. D. Thesis, University of Southampton, 2009.
    • (2009)
    • Wang, S.1
  • 156
    • 43749102069 scopus 로고    scopus 로고
    • EEG feature extraction based on wavelet packet decomposition for brain computer interface
    • Ting W., Guo-zheng Y., Bang-hua Y., Hong S. EEG feature extraction based on wavelet packet decomposition for brain computer interface. Measurement 2008, 41:618-625.
    • (2008) Measurement , vol.41 , pp. 618-625
    • Ting, W.1    Guo-zheng, Y.2    Bang-hua, Y.3    Hong, S.4
  • 158
    • 0025930985 scopus 로고
    • The quantitative extraction and topographic mapping of the abnormal components in the clinical EEG
    • Koles Z.J. The quantitative extraction and topographic mapping of the abnormal components in the clinical EEG. Electroencephalogr. Clin. Neurophysiol. 1991, 79:440-447.
    • (1991) Electroencephalogr. Clin. Neurophysiol. , vol.79 , pp. 440-447
    • Koles, Z.J.1
  • 159
    • 0344849430 scopus 로고    scopus 로고
    • Designing optimal spatial filters for single-trial EEG classification in a movement task
    • Müller-Gerking J., Pfurtscheller G., Flyvbjerg H. Designing optimal spatial filters for single-trial EEG classification in a movement task. Clin. Neurophysiol. 1999, 110:787-798.
    • (1999) Clin. Neurophysiol. , vol.110 , pp. 787-798
    • Müller-Gerking, J.1    Pfurtscheller, G.2    Flyvbjerg, H.3
  • 160
    • 0034470472 scopus 로고    scopus 로고
    • Optimal spatial filtering of single trial EEG during imagined hand movement
    • Ramoser H., Muller-Gerking J., Pfurtscheller G. Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans. Rehabil. Eng. 2000, vol. 8:441-446.
    • (2000) IEEE Trans. Rehabil. Eng. , vol.8 , pp. 441-446
    • Ramoser, H.1    Muller-Gerking, J.2    Pfurtscheller, G.3
  • 161
    • 80055063098 scopus 로고    scopus 로고
    • Signal processing and classification approaches for brain-computer interface, Intelligent and Biosensors
    • Edited by Vernon S. Somerset, Available from: (accessed 16.07.14).
    • T. Al-ani and D. Trad, Signal processing and classification approaches for brain-computer interface, Intelligent and Biosensors, Edited by Vernon S. Somerset, pp. 25-66, 2010. Available from: (accessed 16.07.14). http://www.intechopen.com/books/intelligent-and-biosensors/signal-processing-and-classification-approaches-for-brain-computer-interface.
    • (2010) , pp. 25-66
    • Al-ani, T.1    Trad, D.2
  • 163
    • 26844572294 scopus 로고    scopus 로고
    • Spatio-spectral filters for improving the classification of single trial EEG
    • Lemm S., Blankertz B., Curio G., Muller K.R. Spatio-spectral filters for improving the classification of single trial EEG. IEEE Trans. Biomed. Eng. 2005, 52:1541-1548.
    • (2005) IEEE Trans. Biomed. Eng. , vol.52 , pp. 1541-1548
    • Lemm, S.1    Blankertz, B.2    Curio, G.3    Muller, K.R.4
  • 164
    • 79551538302 scopus 로고    scopus 로고
    • Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms
    • Lotte F., Guan C. Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms. IEEE Trans. Biomed. Eng. 2011, 1.
    • (2011) IEEE Trans. Biomed. Eng. , pp. 1
    • Lotte, F.1    Guan, C.2
  • 169
  • 170
    • 34047110329 scopus 로고    scopus 로고
    • Creating a nonparametric brain-computer interface with neural time-series prediction preprocessing
    • Coyle D., McGinnity T.M., Prasad G. Creating a nonparametric brain-computer interface with neural time-series prediction preprocessing. 28th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2006, 2183-2186.
    • (2006) 28th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. , pp. 2183-2186
    • Coyle, D.1    McGinnity, T.M.2    Prasad, G.3
  • 171
    • 85013785380 scopus 로고    scopus 로고
    • Recent advances in prediction-based eeg preprocessing for improved brain-computer interface performance, vol.
    • D. Coyle, Recent advances in prediction-based eeg preprocessing for improved brain-computer interface performance, vol. Intech, New Developments in Biomedical Engineering (2010) 123-150.
    • (2010) Intech, New Developments in Biomedical Engineering , pp. 123-150
    • Coyle, D.1
  • 172
    • 70449382011 scopus 로고    scopus 로고
    • Neural network based auto association and time-series prediction for biosignal processing in brain-computer interfaces
    • Coyle D. Neural network based auto association and time-series prediction for biosignal processing in brain-computer interfaces. IEEE Comput. Intell. Mag. 2009, 4:47-59.
    • (2009) IEEE Comput. Intell. Mag. , vol.4 , pp. 47-59
    • Coyle, D.1
  • 173
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman R.E. A new approach to linear filtering and prediction problems. J. Basic Eng. 1960, 82:35-45.
    • (1960) J. Basic Eng. , vol.82 , pp. 35-45
    • Kalman, R.E.1
  • 174
    • 84944401132 scopus 로고    scopus 로고
    • Understanding and applying Kalman filtering
    • 25-26 January 1996, Curtin University of Technology, Perth Western Australia
    • Kleeman L. Understanding and applying Kalman filtering. Proceedings of the Second Workshop on Perceptive Systems 1996, 25-26 January 1996, Curtin University of Technology, Perth Western Australia.
    • (1996) Proceedings of the Second Workshop on Perceptive Systems
    • Kleeman, L.1
  • 175
  • 177
    • 84864610104 scopus 로고    scopus 로고
    • A square root ensemble Kalman filter application to a motor-imagery brain-computer interface
    • Kamrunnahar M., Schiff S. A square root ensemble Kalman filter application to a motor-imagery brain-computer interface. 2011 Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2011, 6385-6388.
    • (2011) 2011 Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. , pp. 6385-6388
    • Kamrunnahar, M.1    Schiff, S.2
  • 180
    • 78650012978 scopus 로고    scopus 로고
    • Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
    • Prasad G., Herman P., Coyle D., Jacqueline C. Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study. J. NeuroEng. Rehabil. 2010, 7:60.
    • (2010) J. NeuroEng. Rehabil. , vol.7 , pp. 60
    • Prasad, G.1    Herman, P.2    Coyle, D.3    Jacqueline, C.4
  • 181
    • 0004408003 scopus 로고
    • AR parameter estimation from noisy data using the EM algorithm
    • IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. IV/69-IV/72
    • M. Deriche, AR parameter estimation from noisy data using the EM algorithm, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. IV/69-IV/72 vol. 4, 1994.
    • (1994) , vol.4
    • Deriche, M.1
  • 182
    • 76849091485 scopus 로고    scopus 로고
    • A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method
    • Xia Y., Kamel M.S., Leung H. A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method. Neural Networks 2010, 23:396-405.
    • (2010) Neural Networks , vol.23 , pp. 396-405
    • Xia, Y.1    Kamel, M.S.2    Leung, H.3
  • 183
    • 0019636227 scopus 로고
    • Spectrum analysis - a modern perspective
    • Kay S.M., Marple S.L. Spectrum analysis - a modern perspective. Proc. IEEE 1981, 69:1380-1419.
    • (1981) Proc. IEEE , vol.69 , pp. 1380-1419
    • Kay, S.M.1    Marple, S.L.2
  • 184
    • 28444495950 scopus 로고    scopus 로고
    • Characterization of four-class motor imagery EEG data for the BCI-competition
    • Schlogl A., Lee F., Bischof H., Pfurtscheller G. Characterization of four-class motor imagery EEG data for the BCI-competition. J. Neural Eng. 2005, 2:L14-22.
    • (2005) J. Neural Eng. , vol.2 , pp. L14-22
    • Schlogl, A.1    Lee, F.2    Bischof, H.3    Pfurtscheller, G.4
  • 188
    • 19044399340 scopus 로고    scopus 로고
    • A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier
    • Boostani R., Moradi M.H. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier. J. Neural Eng. 2004, 1:212-217.
    • (2004) J. Neural Eng. , vol.1 , pp. 212-217
    • Boostani, R.1    Moradi, M.H.2
  • 192
    • 0036762783 scopus 로고    scopus 로고
    • Feature selection for the classification of movements from single movement-related potentials
    • Yom-Tov E., Inbar G.F. Feature selection for the classification of movements from single movement-related potentials. IEEE Trans. Neural Syst. Rehabil. Eng. 2002, 10:170-177.
    • (2002) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.10 , pp. 170-177
    • Yom-Tov, E.1    Inbar, G.F.2
  • 193
    • 33644809211 scopus 로고    scopus 로고
    • Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates/adaptive on-line classification, einer EEG-basierenden Gehirn-Computer Schnittstelle mit Adaptive Autoregressiven und Bandleistungsparametern
    • Vidaurre C., Schlögl A., Cabeza R., Scherer R., Pfurtscheller G. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates/adaptive on-line classification, einer EEG-basierenden Gehirn-Computer Schnittstelle mit Adaptive Autoregressiven und Bandleistungsparametern. Biomed. Tech. (Berl.) 2005, 50:350-354.
    • (2005) Biomed. Tech. (Berl.) , vol.50 , pp. 350-354
    • Vidaurre, C.1    Schlögl, A.2    Cabeza, R.3    Scherer, R.4    Pfurtscheller, G.5
  • 195
    • 84944413829 scopus 로고    scopus 로고
    • Computational Intelligence Approaches to Handling Uncertainty in the Analysis of Brain Signals
    • Ph. D. Thesis, University of Ulster
    • P. Herman, Computational Intelligence Approaches to Handling Uncertainty in the Analysis of Brain Signals, Ph. D. Thesis, University of Ulster, 2008.
    • (2008)
    • Herman, P.1
  • 196
    • 36249019973 scopus 로고    scopus 로고
    • Towards development of a 3-state self-paced brain-computer interface
    • (2007)
    • Bashashati A., Ward R.K., Birch G.E. Towards development of a 3-state self-paced brain-computer interface. Comput. Intell. Neurosci. 2007, (2007), Article ID 84386, Available from: http://dx.doi.org/10.1155/2007/84386.
    • (2007) Comput. Intell. Neurosci.
    • Bashashati, A.1    Ward, R.K.2    Birch, G.E.3
  • 199
    • 0001423234 scopus 로고
    • Time-frequency analysis of electroencephalogram series
    • Blanco S., Quiroga R.Q., Rosso O., Kochen S. Time-frequency analysis of electroencephalogram series. Phys. Rev. E 1995, 51:2624.
    • (1995) Phys. Rev. E , vol.51 , pp. 2624
    • Blanco, S.1    Quiroga, R.Q.2    Rosso, O.3    Kochen, S.4
  • 200
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation, Pattern Analysis and Machine Intelligence
    • IEEE Transactions 11
    • S. G. Mallat, A theory for multiresolution signal decomposition: The wavelet representation, Pattern Analysis and Machine Intelligence, IEEE Transactions 11 (1989) 674-693.
    • (1989) , pp. 674-693
    • Mallat, S.G.1
  • 201
    • 78751623822 scopus 로고    scopus 로고
    • Classification of epileptic EEG using neural network and wavelet transform
    • Petrosian A.A., Homan R., Prokhorov D., Wunsch D.C. Classification of epileptic EEG using neural network and wavelet transform. Proc. SPIE 1996, 834.
    • (1996) Proc. SPIE , pp. 834
    • Petrosian, A.A.1    Homan, R.2    Prokhorov, D.3    Wunsch, D.C.4
  • 202
    • 0034430385 scopus 로고    scopus 로고
    • Early recognition of Alzheimer's disease in EEG using recurrent neural network and wavelet transform
    • Petrosian A.A., Prokhorov D., Schiffer R.B. Early recognition of Alzheimer's disease in EEG using recurrent neural network and wavelet transform. Proc. SPIE 2000, 870.
    • (2000) Proc. SPIE , pp. 870
    • Petrosian, A.A.1    Prokhorov, D.2    Schiffer, R.B.3
  • 203
    • 33846672121 scopus 로고    scopus 로고
    • A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy, Biomedical Engineering
    • IEEE Transactions 54
    • H. Adeli, S. Ghosh-Dastidar, N. Dadmehr, A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy, Biomedical Engineering, IEEE Transactions 54 (2007) 205-211.
    • (2007) , pp. 205-211
    • Adeli, H.1    Ghosh-Dastidar, S.2    Dadmehr, N.3
  • 204
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • Adeli H., Zhou Z., Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. J. Neurosci. Methods 2003, 123:69-87.
    • (2003) J. Neurosci. Methods , vol.123 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 205
    • 34547573516 scopus 로고    scopus 로고
    • Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection
    • IEEE Transactions 54
    • S. Ghosh-Dastidar, H. Adeli and N. Dadmehr, Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection, Biomedical Engineering, IEEE Transactions 54 (2007) 1545-1551.
    • (2007) Biomedical Engineering , pp. 1545-1551
    • Ghosh-Dastidar, S.1    Adeli, H.2    Dadmehr, N.3
  • 206
    • 84864400427 scopus 로고    scopus 로고
    • Wavelet packet-based independent component analysis for feature extraction from motor imagery EEG of complex movements
    • Zhou Z., Wan B. Wavelet packet-based independent component analysis for feature extraction from motor imagery EEG of complex movements. Clin. Neurophys. 2012.
    • (2012) Clin. Neurophys.
    • Zhou, Z.1    Wan, B.2
  • 207
    • 84860258234 scopus 로고    scopus 로고
    • Diagnosis of epilepsy from electroencephalography signals using multilayer perceptron and Elman artificial neural networks and wavelet transform
    • Işik H., Sezer E. Diagnosis of epilepsy from electroencephalography signals using multilayer perceptron and Elman artificial neural networks and wavelet transform. J. Med. Syst. 2012, 36:1.
    • (2012) J. Med. Syst. , vol.36 , pp. 1
    • Işik, H.1    Sezer, E.2
  • 208
    • 0025482241 scopus 로고
    • The wavelet transform, time-frequency localization and signal analysis
    • Daubechies I. The wavelet transform, time-frequency localization and signal analysis. IEEE Transactions Inf. Theory 1990, 36:961-1005.
    • (1990) IEEE Transactions Inf. Theory , vol.36 , pp. 961-1005
    • Daubechies, I.1
  • 209
    • 47049090821 scopus 로고    scopus 로고
    • Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: a pilot study
    • Cvetkovic D., Übeyli E.D., Cosic I. Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: a pilot study. Digital Signal Process. 2008, 18:861-874.
    • (2008) Digital Signal Process. , vol.18 , pp. 861-874
    • Cvetkovic, D.1    Übeyli, E.D.2    Cosic, I.3
  • 210
    • 70350223168 scopus 로고    scopus 로고
    • Bayesian Machine Learning Applied in a Brain-Computer Interface for Disabled Users
    • Ph.D. dissertation, Ecole Polytechnique Federale de Lausanne, Switzerland
    • U. Hoffmann, Bayesian Machine Learning Applied in a Brain-Computer Interface for Disabled Users, Ph.D. dissertation, Ecole Polytechnique Federale de Lausanne, Switzerland, 2007.
    • (2007)
    • Hoffmann, U.1
  • 211
    • 70349625807 scopus 로고    scopus 로고
    • Faster self-organizing fuzzy neural network training and a hyperparameter analysis for a brain-computer interface, IEEE Transactions on systems, man, and cybernetics
    • Coyle D., Prasad G., McGinnity T.M. Faster self-organizing fuzzy neural network training and a hyperparameter analysis for a brain-computer interface, IEEE Transactions on systems, man, and cybernetics. Part B: Cybern. 2009, 39:1458-1471.
    • (2009) Part B: Cybern. , vol.39 , pp. 1458-1471
    • Coyle, D.1    Prasad, G.2    McGinnity, T.M.3
  • 212
    • 70350248010 scopus 로고    scopus 로고
    • Time domain parameters as a feature for EEG-based brain-computer interfaces
    • Vidaurre C., Kramer N., Blankertz B., Schlogl A. Time domain parameters as a feature for EEG-based brain-computer interfaces. Neural Networks 2009, 22:1313-1319.
    • (2009) Neural Networks , vol.22 , pp. 1313-1319
    • Vidaurre, C.1    Kramer, N.2    Blankertz, B.3    Schlogl, A.4
  • 215
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • Huang N.E., Shen Z., Long S.R., Wu M.C., Shih H.H., Zheng Q., et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. A Math. Phys. Sci. 1998, 454:903-995.
    • (1998) Proc. R. Soc. Lond. A Math. Phys. Sci. , vol.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3    Wu, M.C.4    Shih, H.H.5    Zheng, Q.6
  • 217
    • 85115732436 scopus 로고    scopus 로고
    • Introduction to the Hilbert Huang Transform and its related mathematical problems
    • Huang N.E. Introduction to the Hilbert Huang Transform and its related mathematical problems. Hilbert-Huang Transform Appl. 2005, 5:1-26.
    • (2005) Hilbert-Huang Transform Appl. , vol.5 , pp. 1-26
    • Huang, N.E.1
  • 221
    • 34247179140 scopus 로고    scopus 로고
    • A review of classification algorithms for EEG-based brain-computer interfaces
    • Lotte F., Congedo M., Lecuyer A., Lamarche F., Arnaldi B. A review of classification algorithms for EEG-based brain-computer interfaces. J. Neural Eng. 2007, 4:R1-R13.
    • (2007) J. Neural Eng. , vol.4 , pp. R1-R13
    • Lotte, F.1    Congedo, M.2    Lecuyer, A.3    Lamarche, F.4    Arnaldi, B.5
  • 224
    • 2442716489 scopus 로고    scopus 로고
    • The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
    • Blankertz B., Muller K.R., Curio G., Vaughan T.M., Schalk G., Wolpaw J.R., et al. The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials. IEEE Trans. Biomed. Eng. 2004, 51:1044-1051.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , pp. 1044-1051
    • Blankertz, B.1    Muller, K.R.2    Curio, G.3    Vaughan, T.M.4    Schalk, G.5    Wolpaw, J.R.6
  • 226
    • 47649095443 scopus 로고    scopus 로고
    • A novel design of 4-class bci using two binary classifiers and parallel mental tasks
    • Geng T., Gan J.Q., Dyson M., Tsui C.S.L., Sepulveda F. A novel design of 4-class bci using two binary classifiers and parallel mental tasks. Comput. Intell. Neurosci. 2008, 2008:1-5.
    • (2008) Comput. Intell. Neurosci. , vol.2008 , pp. 1-5
    • Geng, T.1    Gan, J.Q.2    Dyson, M.3    Tsui, C.S.L.4    Sepulveda, F.5
  • 227
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems. Ann. Eugen. 1936, 7:179-188.
    • (1936) Ann. Eugen. , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 228
    • 0043164490 scopus 로고    scopus 로고
    • An analysis of co-occurrence texture statistics as a function of grey level quantization
    • Clausi D.A. An analysis of co-occurrence texture statistics as a function of grey level quantization. Can. J. Remote Sens. 2002, 28:45-62.
    • (2002) Can. J. Remote Sens. , vol.28 , pp. 45-62
    • Clausi, D.A.1
  • 229
  • 231
    • 85013796736 scopus 로고    scopus 로고
    • P300-based Brain-Computer Interface Paradigm Design, Recent Advances in Brain-computer Interface Systems
    • R. Fazel-Rezai and W. Ahmad, P300-based Brain-Computer Interface Paradigm Design, Recent Advances in Brain-computer Interface Systems, InTech, 2011.
    • (2011) InTech
    • Fazel-Rezai, R.1    Ahmad, W.2
  • 233
    • 53249101512 scopus 로고    scopus 로고
    • Bipolar electrode selection for a motor imagery based brain-computer interface
    • Lou B., Hong B., Gao X., Gao S. Bipolar electrode selection for a motor imagery based brain-computer interface. J. Neural Eng. 2008, 5:342-349.
    • (2008) J. Neural Eng. , vol.5 , pp. 342-349
    • Lou, B.1    Hong, B.2    Gao, X.3    Gao, S.4
  • 235
    • 38349077304 scopus 로고    scopus 로고
    • Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface
    • Zhou S.M., Gan J.Q., Sepulveda F. Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. Inf Sci 2008, 178:1629-1640.
    • (2008) Inf Sci , vol.178 , pp. 1629-1640
    • Zhou, S.M.1    Gan, J.Q.2    Sepulveda, F.3
  • 240
    • 33749543818 scopus 로고    scopus 로고
    • OMEGA: On-line memory-based general purpose system classifier.
    • Ph.D. Thesis, Carnegie Mellon University
    • K. Deng. OMEGA: On-line memory-based general purpose system classifier. Ph.D. Thesis, Carnegie Mellon University, 1998.
    • (1998)
    • Deng, K.1
  • 241
    • 0021306267 scopus 로고
    • Iteratively reweighted least squares for models with a linear part
    • Stirling W.D. Iteratively reweighted least squares for models with a linear part. Appl. Stat. 1984, 7-17.
    • (1984) Appl. Stat. , pp. 7-17
    • Stirling, W.D.1
  • 242
    • 17744374301 scopus 로고    scopus 로고
    • Classification of EEG signals using neural network and logistic regression
    • Subasi A., Erçelebi E. Classification of EEG signals using neural network and logistic regression. Comput. Methods Programs Biomed. 2005, 78:87-99.
    • (2005) Comput. Methods Programs Biomed. , vol.78 , pp. 87-99
    • Subasi, A.1    Erçelebi, E.2
  • 243
    • 70350248698 scopus 로고    scopus 로고
    • Self-adapting BCI based on unsupervised learning
    • 3rd International Workshop on Brain-Computer Interfaces
    • J. Q. Gan, Self-adapting BCI based on unsupervised learning, in 3rd International Workshop on Brain-Computer Interfaces, pp. 50-51, 2006.
    • (2006) , pp. 50-51
    • Gan, J.Q.1
  • 244
    • 80054782282 scopus 로고    scopus 로고
    • On the use of interaction error potentials for adaptive brain computer interfaces
    • Llera A., van Gerven M., Gómez V., Jensen O., Kappen H. On the use of interaction error potentials for adaptive brain computer interfaces. Neural Networks 2011, 1120-1127.
    • (2011) Neural Networks , pp. 1120-1127
    • Llera, A.1    van Gerven, M.2    Gómez, V.3    Jensen, O.4    Kappen, H.5
  • 246
    • 0026913562 scopus 로고
    • The information capacity of the human motor system in controlling the amplitude of movement
    • Fitts P.M. The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. Gen. 1992, 121:262-269.
    • (1992) J. Exp. Psychol. Gen. , vol.121 , pp. 262-269
    • Fitts, P.M.1
  • 247
    • 84944393854 scopus 로고    scopus 로고
    • Fast Adaptive Signal Processing for Intelligent Multistate Self-Paced BCIs
    • Ph. D. Thesis, University of Ulster
    • A. Satti, Fast Adaptive Signal Processing for Intelligent Multistate Self-Paced BCIs, Ph. D. Thesis, University of Ulster, 2011.
    • (2011)
    • Satti, A.1
  • 249
    • 0043244916 scopus 로고    scopus 로고
    • Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis
    • Blankertz B., Dornhege G., Schafer C., Krepki R., Kohlmorgen J., Muller K.R., et al. Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis. IEEE Trans. Neural Syst. Rehabil. Eng. 2003, 11:127-131.
    • (2003) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.11 , pp. 127-131
    • Blankertz, B.1    Dornhege, G.2    Schafer, C.3    Krepki, R.4    Kohlmorgen, J.5    Muller, K.R.6
  • 250
    • 0041668114 scopus 로고    scopus 로고
    • Response error correction - a demonstration of improved human-machine performance using real-time EEG monitoring
    • Parra L.C., Spence C.D., Gerson A.D., Sajda P. Response error correction - a demonstration of improved human-machine performance using real-time EEG monitoring. IEEE Trans. Neural Syst. Rehabil. Eng. 2003, 11:173-177.
    • (2003) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.11 , pp. 173-177
    • Parra, L.C.1    Spence, C.D.2    Gerson, A.D.3    Sajda, P.4
  • 251
    • 0033956906 scopus 로고    scopus 로고
    • ERP components on reaction errors and their functional significance: a tutorial
    • Falkenstein M., Hoormann J., Christ S., Hohnsbein J. ERP components on reaction errors and their functional significance: a tutorial. Biol. Psychol. 2000, 51:87-107.
    • (2000) Biol. Psychol. , vol.51 , pp. 87-107
    • Falkenstein, M.1    Hoormann, J.2    Christ, S.3    Hohnsbein, J.4
  • 252
    • 0030645460 scopus 로고    scopus 로고
    • The particle swarm: Social adaptation of knowledge
    • Kennedy J. The particle swarm: Social adaptation of knowledge. IEEE Int. Conf. Evol. Comput. 2002, 303-308.
    • (2002) IEEE Int. Conf. Evol. Comput. , pp. 303-308
    • Kennedy, J.1
  • 254
    • 0031700696 scopus 로고    scopus 로고
    • A modified particle swarm optimizer, in Evolutionary Computation Proceedings, 1998
    • the 1998 IEEE International Conference on. MIT Press Cambridge, MA, USA.
    • Y. Shi and R. Eberhart, A modified particle swarm optimizer, in Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., the 1998 IEEE International Conference on, pp. 69-73, 1998. MIT Press Cambridge, MA, USA.
    • (1998) IEEE World Congress on Computational Intelligence , pp. 69-73
    • Shi, Y.1    Eberhart, R.2
  • 255
    • 0003463297 scopus 로고
    • Adaptation in Natural and Artificial Systems
    • MIT Press, Cambridge, MA, USA
    • J. H. Holland, Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, MA, USA, 1975.
    • (1975)
    • Holland, J.H.1
  • 257
    • 79960818650 scopus 로고    scopus 로고
    • Toward development of a two-state brain-computer interface based on mental tasks
    • Faradji F., Ward R.K., Birch G.E. Toward development of a two-state brain-computer interface based on mental tasks. J. Neural Eng. 2011, 8:046014.
    • (2011) J. Neural Eng. , vol.8
    • Faradji, F.1    Ward, R.K.2    Birch, G.E.3
  • 259
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • Clerc M., Kennedy J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 2002, 6:58-73.
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 261
    • 33747585373 scopus 로고    scopus 로고
    • Separability of four-class motor imagery data using independent components analysis
    • Naeem M., Brunner C., Leeb R., Graimann B., Pfurtscheller G. Separability of four-class motor imagery data using independent components analysis. J. Neural Eng. 2006, 3:208.
    • (2006) J. Neural Eng. , vol.3 , pp. 208
    • Naeem, M.1    Brunner, C.2    Leeb, R.3    Graimann, B.4    Pfurtscheller, G.5
  • 262
    • 0037395806 scopus 로고    scopus 로고
    • Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems
    • Curran E.A., Stokes M.J. Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems. Brain Cogn. 2003, 51:326-336.
    • (2003) Brain Cogn. , vol.51 , pp. 326-336
    • Curran, E.A.1    Stokes, M.J.2
  • 263
    • 0032973025 scopus 로고    scopus 로고
    • The thought translation device: a neurophysiological approach to communication in total motor paralysis
    • Kübler A., Kotchoubey B., Hinterberger T., Ghanayim N., Perelmouter J., Schauer M., et al. The thought translation device: a neurophysiological approach to communication in total motor paralysis. Exp. Brain Res. 1999, 124:223-232.
    • (1999) Exp. Brain Res. , vol.124 , pp. 223-232
    • Kübler, A.1    Kotchoubey, B.2    Hinterberger, T.3    Ghanayim, N.4    Perelmouter, J.5    Schauer, M.6
  • 264
    • 70349177235 scopus 로고    scopus 로고
    • Control of a 9-DoF wheelchair-mounted robotic arm system using a P300 brain computer interface: initial experiments
    • Palankar M., De Laurentis K.J., Alqasemi R., Veras E., Dubey R., Arbel Y., et al. Control of a 9-DoF wheelchair-mounted robotic arm system using a P300 brain computer interface: initial experiments. IEEE Int. Conf. Rob. Biomim. 2009, 348-353.
    • (2009) IEEE Int. Conf. Rob. Biomim. , pp. 348-353
    • Palankar, M.1    De Laurentis, K.J.2    Alqasemi, R.3    Veras, E.4    Dubey, R.5    Arbel, Y.6
  • 265
    • 34548741528 scopus 로고    scopus 로고
    • The Berlin brain-computer interface presents the novel mental typewriter hex-o-spell
    • Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course
    • B. Blankertz, G. Dornhege, M. Krauledat, M. Schröder, J. Williamson, R. Murray-Smith, K. R. Müller, The Berlin brain-computer interface presents the novel mental typewriter hex-o-spell, in Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course, pp. 108-109, 2006.
    • (2006) , pp. 108-109
    • Blankertz, B.1    Dornhege, G.2    Krauledat, M.3    Schröder, M.4    Williamson, J.5    Murray-Smith, R.6    Müller, K.R.7
  • 266
    • 84944410620 scopus 로고    scopus 로고
    • Advanced human-computer interaction with the Berlin brain-computer interface
    • BRAINPLAY 07 Brain-Computer Interfaces and Games Workshop at ACE (Advances in Computer Entertainment)
    • B. Blankertz, M. Krauledat, G. Dornhege, J. Williamson, R. Murray-Smith, Advanced human-computer interaction with the Berlin brain-computer interface, in BRAINPLAY 07 Brain-Computer Interfaces and Games Workshop at ACE (Advances in Computer Entertainment), 2007.
    • (2007)
    • Blankertz, B.1    Krauledat, M.2    Dornhege, G.3    Williamson, J.4    Murray-Smith, R.5
  • 267
    • 77952944945 scopus 로고    scopus 로고
    • Evaluation of P300-based brain-computer interface in real-world contexts
    • Nam C.S., Li Y., Johnson S. Evaluation of P300-based brain-computer interface in real-world contexts. Int. J. Hum. Comput. Interact. 2010, 26:621-637.
    • (2010) Int. J. Hum. Comput. Interact. , vol.26 , pp. 621-637
    • Nam, C.S.1    Li, Y.2    Johnson, S.3
  • 268
    • 78650069483 scopus 로고    scopus 로고
    • Design and implementation of a P300-based brain-computer interface for controlling an internet browser
    • Mugler E.M., Ruf C.A., Halder S., Bensch M., Kubler A. Design and implementation of a P300-based brain-computer interface for controlling an internet browser. IEEE Trans. Neural Syst. Rehabil. Eng. 2010, 18:599-609.
    • (2010) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.18 , pp. 599-609
    • Mugler, E.M.1    Ruf, C.A.2    Halder, S.3    Bensch, M.4    Kubler, A.5
  • 270
    • 47349097364 scopus 로고    scopus 로고
    • Control of a humanoid robot by a noninvasive brain-computer interface in humans
    • Bell C.J., Shenoy P., Chalodhorn R., Rao R.P. Control of a humanoid robot by a noninvasive brain-computer interface in humans. J. Neural Eng. 2008, 5:214-220.
    • (2008) J. Neural Eng. , vol.5 , pp. 214-220
    • Bell, C.J.1    Shenoy, P.2    Chalodhorn, R.3    Rao, R.P.4
  • 272
    • 85013836775 scopus 로고    scopus 로고
    • The Berlin Brain-Computer Interface: EEG-based communication without subject training
    • Blankertz B., Dornhege G., Krauledat M., Müller K.R., Kunzmann V., Losch F., et al. The Berlin Brain-Computer Interface: EEG-based communication without subject training. Hand 2006, 3:C4.
    • (2006) Hand , vol.3 , pp. C4
    • Blankertz, B.1    Dornhege, G.2    Krauledat, M.3    Müller, K.R.4    Kunzmann, V.5    Losch, F.6
  • 274
    • 34249029672 scopus 로고    scopus 로고
    • The non-invasive Berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects
    • Blankertz B., Dornhege G., Krauledat M., Müller K.R., Curio G. The non-invasive Berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects. Neuroimage 2007, 37:539-550.
    • (2007) Neuroimage , vol.37 , pp. 539-550
    • Blankertz, B.1    Dornhege, G.2    Krauledat, M.3    Müller, K.R.4    Curio, G.5
  • 275
  • 276
    • 36549029758 scopus 로고    scopus 로고
    • Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring
    • Müller K.R., Tangermann M., Dornhege G., Krauledat M., Curio G., Blankertz B. Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring. J. Neurosci. Methods 2007, 167:82-90.
    • (2007) J. Neurosci. Methods , vol.167 , pp. 82-90
    • Müller, K.R.1    Tangermann, M.2    Dornhege, G.3    Krauledat, M.4    Curio, G.5    Blankertz, B.6
  • 289
    • 33645297400 scopus 로고    scopus 로고
    • A comparison of common spatial patterns with complex band power features in a four-class BCI experiment
    • Townsend G., Graimann B., Pfurtscheller G. A comparison of common spatial patterns with complex band power features in a four-class BCI experiment. IEEE Trans. Biomed. Eng. 2006, 53:642-651.
    • (2006) IEEE Trans. Biomed. Eng. , vol.53 , pp. 642-651
    • Townsend, G.1    Graimann, B.2    Pfurtscheller, G.3
  • 290
    • 0000866729 scopus 로고
    • On the compensation for chance agreement in image classification accuracy assessment
    • Foody G.M. On the compensation for chance agreement in image classification accuracy assessment. Photogramm. Eng. Remote Sens. 1992, 58:1459-1460.
    • (1992) Photogramm. Eng. Remote Sens. , vol.58 , pp. 1459-1460
    • Foody, G.M.1
  • 292
    • 0026681952 scopus 로고
    • Fitts' law as a research and design tool in human-computer interaction
    • MacKenzie I.S. Fitts' law as a research and design tool in human-computer interaction. Hum. Comput. Interact. 1992, 7:91-139.
    • (1992) Hum. Comput. Interact. , vol.7 , pp. 91-139
    • MacKenzie, I.S.1
  • 294
    • 0029655658 scopus 로고
    • Mentally simulated movements in virtual reality: does Fitt's law hold in motor imagery?
    • Decety J., Jeannerod M. Mentally simulated movements in virtual reality: does Fitt's law hold in motor imagery?. Behav. Brain Res 1995, 72:127-134.
    • (1995) Behav. Brain Res , vol.72 , pp. 127-134
    • Decety, J.1    Jeannerod, M.2
  • 295
    • 70449724673 scopus 로고    scopus 로고
    • Evaluation of a modified Fitts law BCI target acquisition task in able and motor disabled individuals
    • Felton E.A., Radwin R.G., Wilson J.A., Williams J.C. Evaluation of a modified Fitts law BCI target acquisition task in able and motor disabled individuals. J. Neural Eng. 2009, 6:056002.
    • (2009) J. Neural Eng. , vol.6
    • Felton, E.A.1    Radwin, R.G.2    Wilson, J.A.3    Williams, J.C.4
  • 296
    • 79961018143 scopus 로고    scopus 로고
    • Comparison study of biosignal based computer interfaces based on Fitts' law paradigm
    • Choi C., Kim C., Kim J. Comparison study of biosignal based computer interfaces based on Fitts' law paradigm. Proc. 17th IFAC World Congress 2008, 17.
    • (2008) Proc. 17th IFAC World Congress , vol.17
    • Choi, C.1    Kim, C.2    Kim, J.3
  • 297
    • 77649313876 scopus 로고    scopus 로고
    • The utility metric: A novel method to assess the overall performance of discrete brain-computer interfaces
    • Dal Seno B., Matteucci M., Mainardi L. The utility metric: A novel method to assess the overall performance of discrete brain-computer interfaces. IEEE Trans. Neural Syst. Rehabil. Eng. 2010, 18:28.
    • (2010) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.18 , pp. 28
    • Dal Seno, B.1    Matteucci, M.2    Mainardi, L.3
  • 298
    • 67649274437 scopus 로고    scopus 로고
    • A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation
    • Iturrate I., Antelis J.M., Kubler A., Minguez J. A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation. IEEE Trans. Rob. 2009, 25:614-627.
    • (2009) IEEE Trans. Rob. , vol.25 , pp. 614-627
    • Iturrate, I.1    Antelis, J.M.2    Kubler, A.3    Minguez, J.4
  • 304
    • 48549114390 scopus 로고
    • Analytical and numerical aspects of certain nonlinear evolution equations. II. Numerical, nonlinear Schrödinger equation
    • Taha T.R., Ablowitz M.I. Analytical and numerical aspects of certain nonlinear evolution equations. II. Numerical, nonlinear Schrödinger equation. J. Comput. Phys. 1984, 55:203-230.
    • (1984) J. Comput. Phys. , vol.55 , pp. 203-230
    • Taha, T.R.1    Ablowitz, M.I.2
  • 305
    • 85013856872 scopus 로고
    • DARPA Neural Network Study (US), AFCEA International Press, 1988.
    • (1988)
  • 307
    • 0002621767 scopus 로고
    • Bakerian lecture. The physical interpretation of quantum mechanics
    • Dirac P.A.M. Bakerian lecture. The physical interpretation of quantum mechanics. Proc. R. Soc. Lond. A Math. Phys. Sci. 1942, 180:1.
    • (1942) Proc. R. Soc. Lond. A Math. Phys. Sci. , vol.180 , pp. 1
    • Dirac, P.A.M.1
  • 309
    • 85013753095 scopus 로고    scopus 로고
    • Brain-computer interfaces and quantum robots
    • Pessa E. Brain-computer interfaces and quantum robots. Arxiv Preprint arXiv 2009, 0909:1508.
    • (2009) Arxiv Preprint arXiv , vol.909 , pp. 1508
    • Pessa, E.1
  • 311
    • 70350295897 scopus 로고    scopus 로고
    • Quantum mechanics, interference, and the brain
    • de Barros J.A., Suppes P. Quantum mechanics, interference, and the brain. J. Math. Psychol. 2009, 53:306-313.
    • (2009) J. Math. Psychol. , vol.53 , pp. 306-313
    • de Barros, J.A.1    Suppes, P.2
  • 313
    • 0014705560 scopus 로고
    • Linear and nonlinear filtering
    • Bucy R.S. Linear and nonlinear filtering. Proc. IEEE 1970, 58:854-864.
    • (1970) Proc. IEEE , vol.58 , pp. 854-864
    • Bucy, R.S.1
  • 315
    • 85132018285 scopus 로고
    • Quantum neurodynamics: neural stochastic filtering with the Schroedinger equation
    • Dawes R.L. Quantum neurodynamics: neural stochastic filtering with the Schroedinger equation. Int. Joint Conf. Neural Netw. 1992.
    • (1992) Int. Joint Conf. Neural Netw.
    • Dawes, R.L.1
  • 316
    • 5344230456 scopus 로고
    • Quantum mechanical computers
    • Feynman R.P. Quantum mechanical computers. Found. Phys. 1986, 16:507-531.
    • (1986) Found. Phys. , vol.16 , pp. 507-531
    • Feynman, R.P.1
  • 318
    • 1942535972 scopus 로고    scopus 로고
    • Stochastic filtering and speech enhancement using a recurrent quantum neural network
    • ICISIP-2004, pp. 165
    • Behera L., Sundaram B. Stochastic filtering and speech enhancement using a recurrent quantum neural network. Proc. Int. Conf. Int. Sens. Inf. Process. 2004, 165-170. ICISIP-2004, pp. 165.
    • (2004) Proc. Int. Conf. Int. Sens. Inf. Process. , pp. 165-170
    • Behera, L.1    Sundaram, B.2
  • 319
    • 24144441704 scopus 로고    scopus 로고
    • A recurrent quantum neural network model to describe eye tracking of moving targets
    • Behera L., Kar I., Elitzur A.C. A recurrent quantum neural network model to describe eye tracking of moving targets. Found. Phys. Lett. 2005, 18:357-370.
    • (2005) Found. Phys. Lett. , vol.18 , pp. 357-370
    • Behera, L.1    Kar, I.2    Elitzur, A.C.3
  • 321
    • 0000068589 scopus 로고    scopus 로고
    • RA Fisher and the making of maximum likelihood 1912-1922
    • Aldrich J. RA Fisher and the making of maximum likelihood 1912-1922. Stat. Sci. 1997, 12:162-176.
    • (1997) Stat. Sci. , vol.12 , pp. 162-176
    • Aldrich, J.1
  • 322
    • 0004063090 scopus 로고
    • A Comprehensive Foundation. Prentice Hall PTR, Upper Saddle River, NJ, USA
    • Haykin S. Neural Networks 1994, A Comprehensive Foundation. Prentice Hall PTR, Upper Saddle River, NJ, USA.
    • (1994) Neural Networks
    • Haykin, S.1
  • 324
    • 27944436816 scopus 로고    scopus 로고
    • Foundations of Real-World Intelligence
    • chapter -Evolutionary Computation and Beyond, CSLI Publications
    • H. Muehlenbein, T. Mahnig, Foundations of Real-World Intelligence, chapter -Evolutionary Computation and Beyond, CSLI Publications, 2001.
    • (2001)
    • Muehlenbein, H.1    Mahnig, T.2
  • 325
    • 85165325825 scopus 로고    scopus 로고
    • Recurrent Quantum neural network and its applications
    • The Emerging Physics of Consciousness, Springer
    • L. Behera, I. Kar, A. C. Elitzur, Recurrent Quantum neural network and its applications, The Emerging Physics of Consciousness, Springer, 2006, pp. 327-350.
    • (2006) , pp. 327-350
    • Behera, L.1    Kar, I.2    Elitzur, A.C.3
  • 326
    • 80054722382 scopus 로고    scopus 로고
    • A recurrent network model with neurons activated by Schroedinger wave equation and its application to stochastic filtering
    • Workshop on Soft Computing
    • Behera L., Bharat S., Gaurav S., Manish A. A recurrent network model with neurons activated by Schroedinger wave equation and its application to stochastic filtering. 9th International Conference on High-Performance Computing 2002, Workshop on Soft Computing.
    • (2002) 9th International Conference on High-Performance Computing
    • Behera, L.1    Bharat, S.2    Gaurav, S.3    Manish, A.4
  • 328
    • 84953600891 scopus 로고
    • A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type
    • Crank J., Nicolson P. A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. Math. Proc. Camb. Philos. Soc. 1947, 50-67.
    • (1947) Math. Proc. Camb. Philos. Soc. , pp. 50-67
    • Crank, J.1    Nicolson, P.2
  • 330
    • 84944382454 scopus 로고    scopus 로고
    • Evolving of the wave packet [Online]. Available: (accessed 16.07.14).
    • Evolving of the wave packet [Online]. Available: (accessed 16.07.14). http://isrc.ulster.ac.uk/images/stories/Staff/BCI/Members/VGandhi/Video_PhysicalRobotControl/wavepacket_evolves_according_to_swe.mp4.
  • 334
    • 84879384179 scopus 로고    scopus 로고
    • Self-paced brain-controlled wheelchair methodology with shared and automated assistive control
    • Cognitive Algorithms, Mind, and Brain (CCMB)
    • Satti A.R., Coyle D., Prasad G. Self-paced brain-controlled wheelchair methodology with shared and automated assistive control. IEEE Symposium on Computational Intelligence 2011, pp. 1-8, Cognitive Algorithms, Mind, and Brain (CCMB).
    • (2011) IEEE Symposium on Computational Intelligence , pp. 1-8
    • Satti, A.R.1    Coyle, D.2    Prasad, G.3
  • 335
    • 84944394579 scopus 로고    scopus 로고
    • Player/Stage/Gazebo: Free software tools for robot and sensor applications [Online]. Available: (accessed 16.07.14).
    • Player/Stage/Gazebo: Free software tools for robot and sensor applications [Online]. Available: (accessed 16.07.14). http://playerstage.sourceforge.net/.
  • 336
    • 84944393847 scopus 로고    scopus 로고
    • Schunk Robots [Online]. Available: <-06_EN.pdf> (accessed 16.07.14).
    • Schunk Robots [Online]. Available: <-06_EN.pdf> (accessed 16.07.14). http://www.schunk.com/schunk_files/attachments/ModularRobotics_2010.
  • 337
  • 341
    • 84944408631 scopus 로고    scopus 로고
    • BCI competitions IV. Available online at: , 2008 (accessed 16.07.14).
    • B. Blankertz, BCI competitions IV. Available online at: , 2008 (accessed 16.07.14). http://www.bbci.de/competition/iv/.
    • Blankertz, B.1
  • 343
    • 79954520835 scopus 로고    scopus 로고
    • Bispectrum-based feature extraction technique for devising a practical brain-computer interface
    • Shahid S., Prasad G. Bispectrum-based feature extraction technique for devising a practical brain-computer interface. J. Neural Eng. 2011, 8:025014.
    • (2011) J. Neural Eng. , vol.8
    • Shahid, S.1    Prasad, G.2
  • 344
    • 84944391902 scopus 로고    scopus 로고
    • Robot Control Through Motor Imagery [Online]. Available: (accessed 16.07.14).
    • Robot Control Through Motor Imagery [Online]. Available: (accessed 16.07.14). http://isrc.ulster.ac.uk/Staff/VGandhi/VideoRobotControlThroughMI.
  • 345
    • 84903886642 scopus 로고    scopus 로고
    • Brain-computer interface control with dry EEG electrodes
    • g.Tec Available online on: (accessed 16.07.14).
    • C. Guger, G. Krausz and G. Edlinger, Brain-computer interface control with dry EEG electrodes, g.Tec Available online on: (accessed 16.07.14). http://www.gtec.at/content/download/5152/41756/version/1/.
    • Guger, C.1    Krausz, G.2    Edlinger, G.3
  • 346
    • 84944412803 scopus 로고    scopus 로고
    • The Player/Stage Project, Hosted at , 2003 (accessed 16.07.14).
    • B. Gerkey, R. Vaughan, A. Howard and N. Koenig, The Player/Stage Project, Hosted at , 2003 (accessed 16.07.14). http://playerstage.Sourceforge.Net.
    • Gerkey, B.1    Vaughan, R.2    Howard, A.3    Koenig, N.4
  • 350
    • 36949005835 scopus 로고    scopus 로고
    • Self-initiation of EEG-based brain-computer communication using the heart rate response
    • Scherer R., Müller-Putz G.R., Pfurtscheller G. Self-initiation of EEG-based brain-computer communication using the heart rate response. J. Neural Eng. 2007, 4:L23.
    • (2007) J. Neural Eng. , vol.4 , pp. L23
    • Scherer, R.1    Müller-Putz, G.R.2    Pfurtscheller, G.3
  • 353
    • 77949876759 scopus 로고    scopus 로고
    • Self-paced operation of an SSVEP-based orthosis with and without an imagery-based brain switch: a feasibility study towards a hybrid BCI
    • Pfurtscheller G., Solis-Escalante T., Ortner R., Linortner P., Muller-Putz G.R. 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. 2010, 18:409-414.
    • (2010) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.18 , pp. 409-414
    • Pfurtscheller, G.1    Solis-Escalante, T.2    Ortner, R.3    Linortner, P.4    Muller-Putz, G.R.5
  • 354
    • 50049089980 scopus 로고    scopus 로고
    • Motor imagery to enhance recovery after subcortical stroke: who might benefit, daily dose, and potential effects
    • Simmons L., Sharma N., Baron J.C., Pomeroy V.M. Motor imagery to enhance recovery after subcortical stroke: who might benefit, daily dose, and potential effects. Neurorehabil. Neural Rep. 2008, 22:458-467.
    • (2008) Neurorehabil. Neural Rep. , vol.22 , pp. 458-467
    • Simmons, L.1    Sharma, N.2    Baron, J.C.3    Pomeroy, V.M.4
  • 355
    • 67650496990 scopus 로고    scopus 로고
    • How many people are able to control a P300-based brain-computer interface (BCI)?
    • Guger C., Daban S., Sellers E., Holzner C., Krausz G., Carabalona R., et al. How many people are able to control a P300-based brain-computer interface (BCI)?. Neurosci Lett 2009, 462:94-98.
    • (2009) Neurosci Lett , vol.462 , pp. 94-98
    • Guger, C.1    Daban, S.2    Sellers, E.3    Holzner, C.4    Krausz, G.5    Carabalona, R.6
  • 357
    • 77953490198 scopus 로고    scopus 로고
    • Simultaneous real-time detection of motor imagery and error-related potentials for improved BCI accuracy
    • Ferrez P.W., Millán J.R. Simultaneous real-time detection of motor imagery and error-related potentials for improved BCI accuracy. Proc. 4th Int. Brain-Computer Int. Workshop & Training Course 2008, 197-202.
    • (2008) Proc. 4th Int. Brain-Computer Int. Workshop & Training Course , pp. 197-202
    • Ferrez, P.W.1    Millán, J.R.2
  • 359
    • 58149236855 scopus 로고    scopus 로고
    • Could the beta rebound in the EEG be suitable to realize a brain switch?
    • Pfurtscheller G., Solis-Escalante T. Could the beta rebound in the EEG be suitable to realize a brain switch?. Clin. Neurophysiol. 2009, 120:24-29.
    • (2009) Clin. Neurophysiol. , vol.120 , pp. 24-29
    • Pfurtscheller, G.1    Solis-Escalante, T.2
  • 361
    • 78650790073 scopus 로고    scopus 로고
    • Combining eye gaze input with a brain-computer interface for touchless human-computer interaction, Intl
    • Zander T.O., Gaertner M., Kothe C., Vilimek R. Combining eye gaze input with a brain-computer interface for touchless human-computer interaction, Intl. J. Human-Computer Interact. 2010, 27:38-51.
    • (2010) J. Human-Computer Interact. , vol.27 , pp. 38-51
    • Zander, T.O.1    Gaertner, M.2    Kothe, C.3    Vilimek, R.4
  • 363
    • 0345059118 scopus 로고    scopus 로고
    • Covert and overt voluntary attention: linked or independent?
    • Hunt A.R., Kingstone A. Covert and overt voluntary attention: linked or independent?. Cogn. Brain Res. 2003, 18:102-105.
    • (2003) Cogn. Brain Res. , vol.18 , pp. 102-105
    • Hunt, A.R.1    Kingstone, A.2
  • 364
    • 0034306053 scopus 로고    scopus 로고
    • A brain-controlled switch for asynchronous control applications
    • Mason S., Birch G. A brain-controlled switch for asynchronous control applications. IEEE Trans. Biomed. Eng. 2000, 47:1297-1307.
    • (2000) IEEE Trans. Biomed. Eng. , vol.47 , pp. 1297-1307
    • Mason, S.1    Birch, G.2
  • 366
    • 0033808889 scopus 로고    scopus 로고
    • Electrodiagnostic studies in amyotrophic lateral sclerosis and other motor neuron disorders
    • Daube J.R. Electrodiagnostic studies in amyotrophic lateral sclerosis and other motor neuron disorders. Muscle Nerve 2000, 23:1488-1502.
    • (2000) Muscle Nerve , vol.23 , pp. 1488-1502
    • Daube, J.R.1
  • 367
    • 60349089596 scopus 로고    scopus 로고
    • Living with amyotrophic lateral sclerosis/motor neurone disease (ALS/MND): decision-making about 'ongoing change and adaptation
    • King S.J., Duke M.M., O'Connor B.A. Living with amyotrophic lateral sclerosis/motor neurone disease (ALS/MND): decision-making about 'ongoing change and adaptation. J. Clin. Nurs. 2009, 18:745-754.
    • (2009) J. Clin. Nurs. , vol.18 , pp. 745-754
    • King, S.J.1    Duke, M.M.2    O'Connor, B.A.3
  • 368
    • 0027675264 scopus 로고
    • History and evolution of electroencephalographic instruments and techniques
    • Collura T.F. History and evolution of electroencephalographic instruments and techniques. J. Clin. Neurophysiol. 1993, 10:476-504.
    • (1993) J. Clin. Neurophysiol. , vol.10 , pp. 476-504
    • Collura, T.F.1
  • 369
    • 28644441747 scopus 로고    scopus 로고
    • Kinesthetic, but not visual, motor imagery modulates corticomotor excitability
    • Stinear C.M., Byblow W.D., Steyvers M., Levin O., Swinnen S.P. Kinesthetic, but not visual, motor imagery modulates corticomotor excitability. Exp. Brain Res. 2006, 168:157-164.
    • (2006) Exp. Brain Res. , vol.168 , pp. 157-164
    • Stinear, C.M.1    Byblow, W.D.2    Steyvers, M.3    Levin, O.4    Swinnen, S.P.5
  • 371
    • 70349311570 scopus 로고    scopus 로고
    • On the equivalence of executed and imagined movements: Evidence from lateralized motor and non-motor potentials
    • Kranczioch C., Mathews S., Dean P.J.A., Sterr A. On the equivalence of executed and imagined movements: Evidence from lateralized motor and non-motor potentials. Hum. Brain Mapp. 2009, 30:3275-3286.
    • (2009) Hum. Brain Mapp. , vol.30 , pp. 3275-3286
    • Kranczioch, C.1    Mathews, S.2    Dean, P.J.A.3    Sterr, A.4
  • 373
    • 84862025155 scopus 로고    scopus 로고
    • Neural activation and functional connectivity during motor imagery of bimanual everyday actions
    • Szameitat A.J., McNamara A., Shen S., Sterr A. Neural activation and functional connectivity during motor imagery of bimanual everyday actions. PloS One 2012, 7:e38506.
    • (2012) PloS One , vol.7
    • Szameitat, A.J.1    McNamara, A.2    Shen, S.3    Sterr, A.4
  • 374
    • 0042859961 scopus 로고    scopus 로고
    • Activation of the supplementary motor area (SMA) during performance of visually guided movements
    • Picard N., Strick P.L. Activation of the supplementary motor area (SMA) during performance of visually guided movements. Cereb. Cortex 2003, 13:977-986.
    • (2003) Cereb. Cortex , vol.13 , pp. 977-986
    • Picard, N.1    Strick, P.L.2
  • 377
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • Cohen J. A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 1960, 20:37-46.
    • (1960) Educ. Psychol. Meas. , vol.20 , pp. 37-46
    • Cohen, J.1
  • 378
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • Mühlenbein H. The equation for response to selection and its use for prediction. Evol. Comput. 1997, 5:303-346.
    • (1997) Evol. Comput. , vol.5 , pp. 303-346
    • Mühlenbein, H.1
  • 379
    • 84958959530 scopus 로고    scopus 로고
    • From recombination of genes to the estimation of distributions I. Binary parameters
    • Mühlenbein H., Paass G. From recombination of genes to the estimation of distributions I. Binary parameters. Parallel Problem Solving Nat. - PPSN IV 1996, 178-187.
    • (1996) Parallel Problem Solving Nat. - PPSN IV , pp. 178-187
    • Mühlenbein, H.1    Paass, G.2
  • 380
    • 85013820938 scopus 로고    scopus 로고
    • Clever algorithms: nature-inspired programming recipes
    • Brownlee J. Clever algorithms: nature-inspired programming recipes. Lulu. Com 2011.
    • (2011) Lulu. Com
    • Brownlee, J.1
  • 381
    • 84944388846 scopus 로고    scopus 로고
    • Pioneer 3D-X [Online]. Available: (accessed 16.07.14).
    • Pioneer 3D-X [Online]. Available: (accessed 16.07.14). http://www.mobilerobots.com/ResearchRobots/PioneerP3DX.aspx.


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