Incremental SSVEP analysis for BCI implementation

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 3333-3336

  Müller, Sandra Mara Torres ^a   Bastos Filho, Teodiano Freire ^a   Sarcinelli Filho, Mário ^a  

^a FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE VALUES; CLASSIFICATION RATES; INCREMENTAL ANALYSIS; INFORMATION TRANSFER RATE; PROCESSING TIME; STEADY-STATE VISUAL EVOKED POTENTIALS;

DECISION TREES; FEATURE EXTRACTION; INTERFACES (COMPUTER);

BRAIN COMPUTER INTERFACE;

EID: 78650846893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627913     Document Type: Conference Paper

References (12)

1. J. Wolpaw, N. Birbaumer, D. McFarland, G. Pfurtscheller, and T. Vaughan, "Brain-computer interfaces for communication and control," Clin. Neurophysiol., vol. 113, pp. 767-791, 2002.
2. M. Cheng, X. Gao, and D. Xu, "Design and implementation of a brain-computer interface with high transfer rates," IEEE Transactions on Biomedical Engineering, vol. 49, no. 10, pp. 1181-1186, 2002.
3. E. C. Lalor, S. P. Kelly, C. Finucane, R. Burke, R. Smith, R. B. Reilly, and G.McDarby, "Steady-state vep-based brain-computer interface control in an immersive 3d gaming environment," EURASIP Journal on Applied Signal Processing, vol. 19, pp. 3156-3164, 2005.
4. G. R. Müller-Putz, R. Scherer, C. Brauneis, and G. Pfurtscheller, "Steady-state visual evoked potential (ssvep)-based communication, impact of harmonic frequency components," Journal of Neural Engineering, vol. 2, no. 4, pp. 123-130, 2005.
5. G. Garcia, "High frequency ssveps for bci applications," Brain- Computer Interfaces for HCI and Games, April 2008, florence, Italy.
6. A. F. C. Infantosi, V. V. Lazarev, and D. V. de Campos, "Detecç ão de resposta a fotoestimulaç ão intermitente no eletroencefalograma utilizando o teste f-espectral," Revista Brasileira de Engenharia Biomdica, vol. 21, no. 1, pp. 25-36, April 2005.
7. A. P. Liavas, G. V. Moustakides, G. Henning, E. Z. Psarakis, and P. Husar, "A periodogram-based method for the detection of steadystate visually evoked potentials," IEEE Transactions on Biomedical Engineering, vol. 45, no. 2, pp. 242-248, February 1998.
8. D. G. Manolakis, V. K. Ingle, and S. M. Kogon, Statistical and adaptative signal processing: spectral estimation, signal modeling, adaptive filtering and array processing. Artech House, 2005.
9. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. Wiley-Interscience, 2001.
10. M. Kantardzic, Data Mining: Concepts, Models, Methods, and Algorithms. Wiley InterScience, 2003.
11. J. Mouriño, "Eeg-based analysis for the design of adaptive brain interfaces," Ph.D. dissertation, Centre de Recerca en Enginyeria Biomdica, Universitat Politcnica de Catalunya, Barcelona, Spain, 2003.
12. I. Volosyak, H. Cecotti, D. Valbuena, and A. Gräser, "Evaluation of the bremen ssvep based bci in real world conditions," Proceedings of the 11th International IEEE Conference on Rehabilitation Robotics, pp. 322-331, June 2009.