Design and operation of an EEG-based brain-computer interface with digital signal processing technology

Behavior Research Methods, Instruments, and Computers

Volumn 29, Issue 3, 1997, Pages 337-345

  McFarland, Dennis J ^a,b   Todd Lefkowicz, A ^a   Wolpaw, Jonathan R ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b WADSWORTH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001676829     PISSN: 07433808     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03200585     Document Type: Article

References (28)

1. ARROYO, S., LESSER, R. P., GORDON, B., UEMATSU, S., JACKSON, D., & WEBBER, R. (1993). Functional significance of the mu rhythm of human cortex: An electrophysiological study with subdural electrodes. Electroencephalography & Clinical Neurophysiology, 87, 76-87.
2. BLACK, A. H. (1971). Direct control of neural processes by reward and punishment. American Scientist, 59, 236-245.
3. FARWELL, L. A., & DONCHIN, E. (1988). Talking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography & Clinical Neurophysiology, 70, 510-523.
4. FRIED, R. (1993). What is theta? Biofeedback & Self-Regulation, 18, 53-58.
5. GASTAUT, H. (1952). Étude electrocorticographique de la reactivité des rythmes rolandiques. Review of Neurology, 87, 176-182.
6. JASPER, H. H. (1958). The ten-twenty electrode system of the International Federation. Electroencephalography & Clinical Neurophysiology, 10, 371-375.
7. KOZELKA, J. W., & PEDLEY, T. A. (1990). Beta and mu rhythms. Journal of Clinical Neurophysiology, 7, 191-207.
8. KUHLMAN, W. N. (1978). Functional topography of the human mu rhythm. Electroencephalography & Clinical Neurophysiology, 44, 83-93.
9. MARPLE, S. L. (1987). Digital spectral analysis with applications. Englewood Cliffs, NJ: Prentice-Hall.
10. MCCANE, L., MCFARLAND, D. J., VAUGHAN, T. M., & WOLPAW, J. R. (1995). An EEG-based brain-computer interface: Alternative methods for controlling two-dimensional cursor movement. Society for Neuroscience Abstracts, 21, 1422.
11. MCFARLAND, D. J., MCCANE, L., VAUGHAN, T., & WOLPAW, J. R. (1994). An EEG-based brain-computer interface: Use by individuals with ALS. Society for Neuroscience Abstracts, 20, 1398.
12. MCFARLAND, D. J., NEAT, G. W., READ, R. F., & WOLPAW, J. R. (1993). An EEG-based method for graded cursor control. Psychobiology, 21, 77-81.
13. MINER, L. A., MCCANE, L., VAUGHAN, T., MCFARLAND, D. J., & WOLPAW, J. R. (1996). EEG-based brain-computer interface (BCI) training in a man with advanced amyotrophic lateral sclerosis (ALS). Society for Neuroscience Abstracts, 22, 891.
14. NEAT, G. W., MCFARLAND, D. J., FORNERIS, C. A., & WOLPAW, J. R. (1990). EEG-based brain-to-computer communication: System description. Proceedings of the IEEE Engineering in Medicine & Biology Society, 5, 2298-2300.
15. NIEDERMEYER, E. (1987). The normal EEG of the waking adult. In E. Niedermeyer & F. H. Lopes da Silva (Eds.), Electroencephalography: Basic principles, clinical applications and related fields (pp. 97-117). Baltimore: Urban & Schwarzenberg.
16. PFURTSCHELLER, G. (1988). Mapping of event-related desynchronization and type of derivation. Electroencephalography & Clinical Neurophysiology, 70, 190-193.
17. PFURTSCHELLER, G., FLOTZINGER, D., & KALCHER, J. (1993). Brain-computer interface - A new communication device for handicapped persons. Journal of Microcomputer Applications, 16, 293-299.
18. PFURTSCHELLER, G., & KLIMESCH, W. (1990). Topographic display and interpretation of event-related desynchronization during a visual-verbal task. Brain Topography, 3, 85-93.
19. PRESS, W. H., FLANNERY, B. P., TEUKOLSKY, S. A., & VETTERLING, W. T. (1988). Numerical recipes in C: The art of scientific computing. New York: Cambridge University Press.
20. SUTTER, E. E. (1992). The brain response interface: Communication through visually-induced electrical brain responses. Journal of Microcomputer Applications, 15, 31-45.
21. TOZZO, C. A., ELFNER, L. F., & MAY, J. G. (1988). EEG biofeedback and relaxation training in the control of epileptic seizures. International Journal of Psychophysiology, 6, 185-194.
22. WALTER, D. O. (1987). Introduction to computer analysis in electroencephalography. In E. Niedermeyer & F. Lopes da Silva (Eds.), Electroencephalography: Basic principles, clinical applications and related fields (pp. 871-898). Baltimore: Urban and Schwarzenberg.
23. WILTON, R. (1988). Programmer's guide to PC and PS/2 video systems. Redmond, WA: Microsoft Press.
24. WOLPAW, J. R., & MCFARLAND, D. J. (1994). Multichannel EEG-based brain-computer communication. Electroencephalography & Clinical Neurophysiology, 90, 444-449.
25. WOLPAW, J. R., & MCFARLAND, D. J. (1995). Development of an EEG-based brain-computer interface. Proceedings of the RESNA '95 Annual Conference, 15, 645-649.
26. WOLPAW, J. R., MCFARLAND, D. J., & CACACE, A. T. (1986). Preliminary studies for a direct brain-to-computer parallel interface. In Projects for persons with disabilities: IBM technical symposium (pp. 11-20).
27. WOLPAW, J. R., MCFARLAND, D. J., NEAT, G. W., & FORNERIS, C. A. (1991 ). An EEG-based brain-computer interface for cursor control. Electroencephalography & Clinical Neurophysiology, 78, 252-259.
28. WONNACOTT, T. H., & WONNACOTT, R. (1977). Introductory statistics. New York: Wiley.