Adaptive estimation of EEG-rhythms for optimal band identification in BCI

Journal of Neuroscience Methods

Volumn 203, Issue 1, 2012, Pages 163-172

  Veluvolu, Kalyana C ^a   Wang, Yubo ^a   Kavuri, Swathi S ^a  

^a Kyungpook National University   (South Korea)

Author keywords

Adaptive estimation; BCI; EEG classification; Time frequency analysis

Indexed keywords

ADULT; AMPLITUDE MODULATION; ARTICLE; AUTOMATION; BRAIN COMPUTER INTERFACE; COMPUTER MODEL; ELECTROENCEPHALOGRAM; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; NATURAL SELECTION; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL PROCESSING; SPECTRAL SENSITIVITY;

ADULT; ALGORITHMS; BRAIN; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; MODELS, THEORETICAL; USER-COMPUTER INTERFACE; YOUNG ADULT;

EID: 81555205849     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2011.08.035     Document Type: Article

References (33)

1. Akim M., Kiymik M. Application of periodogram and ar spectral analysis to eeg signals. J Med Syst 2000, 24(4):247-256.
2. Allen D.P., MacKinnon C.D. Time-frequency analysis of movement-related spectral power in eeg during repetitive movements: a comparison of methods. J Neurosci Meth 2010, 186:107-115.
3. Bashashati A., Fatourechi M., Ward R.K. A survey of signal processing algorithms in brain-computer interfaces based on electrical signals. J Neural Eng 2007, 4:R03.
4. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kübler A., et al. Guest editorial brain-computer interface technology: a review of the second international meeting. Nature 1999, 398(6725):297-298.
5. Blankertz B., Tomioka R., Lemma S., Kawanabe M., Muller K.R. Optimizing spatial filters for robust eeg single-trial analysis. IEEE Signal Proc Mag 2008, 25(1):41-56.
6. Brunner C., Allison B.Z., Krusienski D.J., Vera Kaiser., Mller-Putz G.R., Pfurtscheller G., et al. Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface. J Neurosci Meth 2010, 188(1):165-173.
7. Editorial comment Is this the bionic man?. Nature 2006, 442(7099):109.
8. Curran E.A., Strokes 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.
9. Graimann B., Allison B., Pfurscheller G. Brain-computer interfaces 2010, Springer, London, UK.
10. Guger C., Edlinger G., Harkam W., Niedermayer I., Pfurtscheller G. How many people are able to operate an eeg-based brain-computer interface (bci)?. IEEE Trans Neural Syst Rehabil Eng 2003, 11(2):99-110.
11. Jasper H.H. The ten-twenty electrode system of the international federation. Electroen Clin Neuro 1958, 10:371-375.
12. Krusienski D.J., Schalk G., McFarland D.J., Wolpaw J.R. A mu-rhythm matched filter for continuous control of a brain-computer interface. IEEE Trans Biomed Eng 2007, 54(2):273-280.
13. Lotte F., Congedo M., Lecuyer A., Lamarche F., Arnaldil B. A review of classification algorithms for EEG-based brain-computer interfaces. J Neural Eng 2007, 4:R1-R13.
14. McFarland D.J., Lefkowicz A.T., Wolpaw J.R. Design and operation of an eeg-based brain-computer interface (bci) with digital signal processing technology. Behav Res Meth Instrum Comput 1997, 29:337-345.
15. McFarland D.J., Wolpaw J.R. Sensorimotor rhythm-based brain-computer interface (bci): model order selection for autoregressive spectral analysis. J Neural Eng 2008, 5:6.
16. McFarland D.J., Anderson C.W., Muller K.R., Schlogl A., Krusienski D.J. Bci meeting 2005 - workshop on bci signal processing: feature extraction and translation. IEEE Trans Neural Syst Rehabil Eng 2008, 14(2):135-138.
17. McFarland D.J., Sarnacki W.A., Wolpaw J.R. Electroencephalographic (eeg) control of three-dimensional movement. J Neural Eng 2010, 7:36007.
18. Mueller-Putz G.R., Scherer R., Pfurtscheller G., Rupp R. Eeg-based neuroprosthesis control: a step towards clinical practice. Neurosci Lett 2000, 382:169-174.
19. Mueller-Putz G.R., Scherer R., Pfurtscheller G., Rupp R. Brain-computer interfaces for control of neuroprosthesis: from sysnchronous to asynchronous mode of operation. Biomed Eng 2006, 51(2):57-63.
20. Neuper C., Mueller-Putz G.R., Scherer R., Pfurtscheller G. Motor imagery and eeg-based control of spelling devices and neuroprostheses. Prog Brain Res 2000, 159393-159409.
21. Pfurtscheller G., Neuper C. Motor imagery activates primary sensorimotor area in humans. Neurosci Lett 2000, 239:65-68.
22. Pfurtscheller G., Neuper C., Andrew C., Edlinger G. Foot and hand area mu rhythms. Int J Psychophysiol 2000, 26(1-3):121-135.
23. Pineda A.J., Allison B.Z., Vankov A. The effects of self-movement, observation and imagination on μ rhythms and readiness potentials (rp's): toward a brain-computer interface (bci). IEEE Trans Rehabil Eng 2000, 8(2):219-222.
24. Royer S.A., Doud A.J., Rose M.L., Bin He. Eeg control of a virtual helicopter in 3-dimensional space using intelligent control strategies. IEEE Trans Neural Syst Rehabil Eng 2000, 18(6):581-589.
25. Schalk G., Mellinger J. A practical guide to brain-computer intefacing with BCI2000 2010, Springer, London, UK.
26. Sun S., Zhang C., Lu Y. The random electrode selection ensemble for eeg signal classification. Pattern Rcogn 2000, 41:1663-1675.
27. Vaughan T.M. Guest editorial brain-computer interface technology: a review of the second international meeting. IEEE Trans Neural Syst Rehabil Eng 2000, 11(2):94-109.
28. Vaz C., Thakor N. Adaptive fourier estimation of time-varying evoked potentials. IEEE Trans Biomed Eng 2000, 36(4):448-455.
29. Vaz C., Kong X., Thakor N. An adaptive estimation of periodic signals using a fourier linear combiner. IEEE Trans Signal Process 2000, 42(1):1-10.
30. Veluvolu K.C., Ang W.T. Estimation and filtering of physiological tremor for surgical robotics applications. Int J Med Robot Comput Assist Surg 2000, 6(3):334-342.
31. Widrow B., Stearns S.D. Adaptive signal processing 1985, Prentice-Hall, Englewood Cliffs, NJ.
32. Wolpaw J.R., McFarland D.J., Vaughan T.M. Brain-computer interface research at the wadsworth center. IEEE Trans Rehabil Eng 2000, 8(2):222-226.
33. Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., Vaughan T.M. Brain-computer interfaces for communication and control. Clin Neurophysiol 2000, 113:767-791.