A parametric feature extraction and classification strategy for brain-computer interfacing

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 13, Issue 1, 2005, Pages 12-17

  Burke, Dave P ^a,b   Kelly, Simon P ^a   De Chazal, Philip ^a,d,e   Reilly, Richard B ^a   Finucane, Ciarán ^c  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b Voxpilot Ltd   (Ireland)

^c ST JAMES S HOSPITAL   (Ireland)

^d BiancaMed Ltd   (Ireland)

^e IEEE

Author keywords

Autoregressive (AR) with exogenous input (ARX); Bereitschaftspotential (BP); Brain computer interface (BCI); Electroencephalogram (EEG)

Indexed keywords

FEATURE EXTRACTION; INTERFACES (COMPUTER); MATHEMATICAL MODELS; NEUROLOGY; PHYSIOLOGICAL MODELS; REGRESSION ANALYSIS;

AUTOREGRESSIVE MODEL; BRAIN COMPUTER INTERFACES; DISCRIMINANT ANALYSIS; PARAMETRIC MODELING;

BRAIN;

ACCURACY; AMPLIFIER; ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFICATION; CONTINGENT NEGATIVE VARIATION; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL; EVOKED RESPONSE; HUMAN; HUMAN EXPERIMENT; MATHEMATICAL MODEL; MOVEMENT (PHYSIOLOGY); NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

ADULT; ALGORITHMS; BRAIN; COMMUNICATION AIDS FOR DISABLED; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; MALE; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 16344388770     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2004.841881     Document Type: Article

References (19)

1. J. R. Wolpaw, N. Birbaumer, W. J. Heetderks, D. J. McFarland, P. H. Peckham, G. Schalk, E. Donchin, L. A. Quatrano, C. J. Robinson, and T. M. Vaughan, "Brain-computer interface technology: A review of the first international meeting," IEEE Trans. Rehab. Eng., vol. 8, no. 2, pp. 164-173, Jun. 2000.
2. J. R. Wolpaw, D. J. McFarland, G. W. Neat, and C. A. Forneris, "An EEG-based brain-computer interface for cursor control," Electroen-cephalogr. Clin. Neurophysiol, vol. 78, pp. 252-259, 1991.
3. G. Pfurtscheller, J. Kalcher, C. Neupor, D. Flotzinger, and M. Pregenzer, "On-line EEG classification during externally-paced hand movements using a neural network-based classifier," Electroencephalogr. Clin. Neurophysiol., vol. 99, pp. 416-425, 1996.
4. E. Sutler, "The brain response interface: Communication through visually-induced electrical brain response," J. Microcomput. Appl, vol. 15, pp. 31-45, 1992.
5. M. Middendorf, G. McMillan, G. Calhoun, and K. S. Jones, "Brain-computer interfaces based on the steady-state visual-evoked response," IEEE Trans. Rehab. Eng., vol. 8, no. 2, pp. 211-214, Jun. 2000.
6. N. Birbaumer, N. Ghanayim, T. Hinterberger, I. Iversen, B. Kotchoubey, A. Kuebler, J. Perelmouter, E. Taub, and H. Flor, "A spelling device for the completely paralyzed," Nature, vol. 398, pp. 297-298, 1999.
7. L. A. Farwell and E. Donchin, "Talking off the top of your head: A mental prosthesis utilizing event-related brain potentials," Electroen-cephalogr. Clin. Neurophysiol, vol. 70, pp. 355-372, 1988.
8. W. D. Penny, S. J. Roberts, E. A. Curran, and M. J. Stokes, "EEG-based communication: A pattern recognition approach," IEEE Trans. Rehab. Eng., vol. 8, pp. 214-216, June 2000.
9. C. Guger, A. Schlögl, C. Neuper, D. Walterspacher, T. Strein, and G. Pfurtscheller, "Rapid prototyping of an EEG-based brain-computer interface (BCI)," IEEE Trans. Rehab. Eng., vol. 9, no. 1, pp. 49-58, Mar. 2001.
10. J. Pardey, S. Roberts, and L. Tarassenko, "A review of parametric modeling techniques for EEG analysis," Med. Eng. Phys., vol. 18, pp. 2-11, 1995.
11. S. Cerutti, G. Chiarenza, D. Liberati, P. Mascellani, and G. Pavesi, "A parametric method of identification of single-trial event-related potentials in the brain," IEEE Trans. Biomed. Eng., vol. 35, no. 9, pp. 701-711, Sep. 1988.
12. L. Ljung, System Identification: Theory for the User. Englewood Cliffs, NJ: Prentice-Hall, 1987.
13. H. Akaike, "Fitting autoregressions for prediction," Ann. Inst. Stat. Math., vol. 21, pp. 243-247, 1969.
14. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford, U.K.: Clarendon, 1995.
15. K. E. Misulis, Spehlmann's Evoked Potential Primer: Visual, Auditory, and Somatosensory Evoked Potentials in Clinical Diagnosis. Burlington, MA: Butterworth-Heinemann, 1994.
16. L. Deecke, R. P. Scheid, and H. H. Kornhuber, "Distribution of readiness potential, pre-motion positivity and motor potential of the human cerebral cortex preceding voluntary finger movement," Exp. Brain Res., vol. 7, pp. 158-168.
17. B. Blankertz, G. Curio, and K.-R. Müller, "Classifying single trial EEG: Toward brain computer interfacing," presented at the 16th Annu. Conf. Neural Information Processing Systems (NIPS), Vancouver, BC, Canada, 2002.
18. R. Beisteiner, P. Hollinger, G. Lindinger, W. Lang, and A. Berthoz, "Mental representations of movements. Brain potentials associated with imagination of hand movements," Electroencephalogr. Clin. Neurophysiol., vol. 96, pp. 183-193, 1995.
19. D. H. Lange and G. F. Inbar, "Modern techniques in ERP research'," in Modern Techniques in Neuroscience Research, U. Windhorst and H. Johansson, Eds. Berlin, Germany: Springer-Verlag, 1999.