Erratum to "Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets" [J Neurosci Methods 174 (2008) 135-146] (DOI:10.1016/j.jneumeth.2008.06.026);Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets

Journal of Neuroscience Methods

Volumn 174, Issue 1, 2008, Pages 135-146

  Cabrera, Alvaro Fuentes ^a   Dremstrup, Kim ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

Auditory Imagery; Autoregressive (AR) Modeling; Brain Computer Interface (BCI); Cognitive task analysis; Electroencephalographic (EEG) analysis; Optimized Wavelet (OW); Pattern classification; Spatial Navigation Imagery

Indexed keywords

ADULT; ARTICLE; ARTIFACT; AUDITORY SYSTEM; BRAIN COMPUTER INTERFACE; COGNITION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGERY; MALE; MATHEMATICAL COMPUTING; NORMAL HUMAN; PARIETAL LOBE; PRIORITY JOURNAL; TEMPORAL LOBE;

EID: 49549105301     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2008.09.021     Document Type: Erratum

References (31)

1. Babiloni F., Cincotti F., Lazzarini L., Millan J., Mourino J., Varsta M., et al. Linear classification of low-resolution EEG patterns produced by imagined hand movements. IEEE Trans Rehab Eng 8 2 (2000) 186-188
2. Birch G., Bozorgzadeh Z., and Mason S. Initial on-line evaluations of the LF-ASD brain-computer interface with able-bodied and spinal-cord subjects using imagined voluntary motor potentials. IEEE Trans Neural Syst Rehab Eng 10 4 (2002) 219-224
3. Bostanov V. BCI competition 2003-data sets Ib and IIb: feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram. IEEE Trans Biomed Eng 51 6 (2004) 1057-1061
4. Burrus C.S., Gopinath R.A., and Guo H. Introduction to wavelets and wavelets transforms (1998), Prentice Hall
5. Cheng M., Gao X., Gao S., and Xu D. Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Biomed Eng 49 10 (2002) 1181-1186
6. Curran E., Sykaceck P., Stokes M., and Roberts S. Cognitive tasks for driving a brain-computer interfacing system: a pilot study. IEEE Trans Neural Syst Rehab Eng 12 1 (2003) 48-54
7. Curran E., Sykacek P., Stokes M., Roberts S.J., Penny W., Johnsrude I., et al. Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems. Brain Cogn 51 3 (2003) 326-336
8. Donchin E., Spencer K.M., and Wijesinghe R. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. IEEE Trans Rehabil Eng 8 2 (2000) 174-179
9. Duda R., Hart P., and Stork D. Pattern classification (2001), John Wiley & Sons Inc., New York
10. Farina D., Do Nascimento O.F., Lucas M.-F., and Doncarli C. Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters. J Neurosci Methods 62 1-2 (2007) 357-363
11. Felton E.A., Wilson J.A., Williams J.A.J.C., and Garell P.C. Electrocorticographically controlled brain-computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants-report of four cases. J Neurosurg 106 3 (2007) 495-500
12. Fisch BJ. EEG primer, basic principles of digital and analog EEG, 3rd ed. Elsevier; 1999.
13. Fu MJ, Daly JJ, Cavusoglu MC. A detection scheme for frontalis and temporalis muscle EMG contamination of EEG data. In: Proceedings of the 28th IEEE EMBS Annual International Conference, Volume supplement; 2006. p. 4514-18.
14. Goncharova I.I., Mcfarland D.J., Vaughan T.M., and Wolpaw J.R. EMG contamination of EEG: spectral and topographical characteristics. Clin Neurophysiol 114 (2003) 1580-1593
15. Graimann B., Huggins J.E., Levine J.E.S.P., and Pfurtscheller G. Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis. IEEE Trans Biomed Eng 51 6 (2004) 954-962
16. Halpernand R., and Zatorre R.J. When that tune runs through your head: a PET investigation of auditory imagery for familiar melodies. Cereb Cortex 9 7 (1999) 697-704
17. Kubler A., Kotchoubey B., Ghanayim N., Hinterberger T., Perelmouter J., Schauer M., et al. A thought translation device for brain computer communication. Stud Psychol 40 1-2 (1998) 17-31
18. Lehtonen J., Jylänki P., Kauhanen L., and Sams M. Online classification of single EEG trials during finger movements. IEEE Trans Biomed Eng 55 2 (2008) 713-720
19. Maguire E.A., Frackowiak R.S., and Frith C.D. Recalling routes around London: activation of the right hippocampus in taxi drivers. J Neurosci 17 18 (1997) 7103-7110
20. McFarland D., McCane L., David S., and Wolpaw S.J. Spatial filter selection for EEG-based communication. Electroencephalogr Clin Neurophysiol 103 3 (2003) 386-394
21. Nuwer M.R., Comi G., Emerson R., Fuglsang-Frederiksen A., Hinrichs H., Ikeda A., et al. IFCN standards for digital recording of clinical EEG. Electroencephalogr Clin Neurophysiol 106 3 (1998) 259-261
22. Penny W, Roberts S. Imagined hand movements identified from the PEG Mu-Rhythm'. Technical report, Imperial College, University of London. Available via http://www.ee.ic.ac.uk, 1998.
23. Peters B.O., Pfurtscheller G., and Flyvberg H. Mining multi-channel EEG for its information content: an ANN-based method for a brain-computer interface. Neural Networks 11 7-8 (1998) 1429-1433
24. Peters B.O., Pfurtscheller G., and Flyvberg H. Automatic differentiation of multichannel EEG signals. IEEE Trans Biomed Eng 48 1 (2001) 111-116
25. Pfurtscheller G., Brunner C., Schlogl A., and da Silva F.H.L. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. Neuroimage 31 (2006) 153-159
26. Proakis J.G., and Manolakis D.G. Digital Signal Processing. Principles Algorithms and Applications (1996), Prentice Hall, Inc.
27. Roberts S.J., and Penny W.D. Real-time brain computer interfacing: a preliminary study using Bayesian learning. Med Biol Eng Comput 38 1 (2000) 56-61
28. Schalk G., McFarland D.J., Hinterberg T., Birbaumer N., and Wolpaw J.R. BCI2000: A general purpose, brain-computer interface (BCI) system. IEEE Trans Biomed Eng 51 6 (2004) 1034-1043
29. Sellers E., Krusienski D., McFarland D., and Wolpaw J. Noninvasive brain-computer interface research at the Wadsworth Center. In: Dornhege G., del J., Millar R., Hinterberger T., McFarland D.J., and Muller K.-R. (Eds). Toward brain-computer interfacing (2007), MIT Press
30. Wolpaw J.R., Mcfarland D.J., Neat G.W., and Forneris C.A. An Eeg-based brain-computer interface for cursor control. Electroencephalogr Clin Neurophysiol 78 3 (1991) 252-259
31. Wolpaw J.R., Birbaumer N., Heetderks W.J., McFarland D.J., Peckham P.H., Schalk G., et al. Brain-computer interface technology: a review of the first international meeting. IEEE Trans Rehabil Eng 8 2 (2000) 164-173