CeDeROM Brain Computer Interface

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7339)


Brain Computer Interface is a biomedical equipment used to perform user interaction with computer equipment based on a brain activity measurement. Modular Research System presented in this article is a prototype platform under development aimed for supporting the research groups with low–cost versatile and flexible hardware platform for BCI research but also easy construct and verification of commercial products that can find its use in solving various scientific and real life problems.


Brain Computer Interface Device Driver Serial Peripheral Interface Dynamic Library Silicon Block 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Schalk, G., McFarland, D.J., Hinterberger, T., Birbaumer, N., Wolpaw, J.R.: BCI 2000: a general-purpose brain-computer interface (BCI) system. IEEE Transactions on Biomedical Engineering 51(6), 1034–1043 (2004)PubMedCrossRefGoogle Scholar
  2. 2.
    Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., Arnaldi, B., et al.: A review of classification algorithms for EEG-based brain\(\pounds\)computer interfaces. J. Neural Eng. (2007)Google Scholar
  3. 3.
    Stamps, K., Hamam, Y.: Towards Inexpensive BCI Control for Wheelchair Navigation in the Enabled Environment – A Hardware Survey. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds.) BI 2010. LNCS, vol. 6334, pp. 336–345. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  4. 4.
    Piccini, L., Parini, S., Maggi, L., Andreoni, G.: A Wearable Home BCI system: preliminary results with SSVEP protocol. In: Proceedings of the 27th Annual Conference of the 2005 IEEE Engineering in Medicine and Biologym, Shanghai, China, September 1-4 (2005)Google Scholar
  5. 5.
    Shyu, K.-K., Lee, P.-L., Lee, M.-H., Lin, M.-H., Lai, R.-J., Chiu, Y.-J.: Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System. IEEE Transactions on Biomedical Circuits and Systems 4(2), 125–132 (2010) ISSN: 1932-4545CrossRefGoogle Scholar
  6. 6.
    Rebsamen, B., Burdet, E., Guan, C., Zhang, H., Teo, C.L., Zeng, Q., Laugier, C., Ang Jr., M.H.: Controlling a Wheelchair Indoors Using Thought. IEEE Intelligent Systems 22(2), 18–24 (2007), doi:10.1109/MIS.2007.26CrossRefGoogle Scholar
  7. 7.
    Osseiran, A.: EIG, Eng. Sch. of Geneva: Test standards (with focus on IEEE1149.1). In: Proceedings of the 38th Midwest Symposium on Circuits and Systems, Rio de Janeiro, Brazil, August 13-16, pp. 708–711 (1995) Print ISBN: 0-7803-2972-4Google Scholar
  8. 8.
    Wang, Q., Sourina, O., Nguyen, M.K.: A Fractal Dimension Based Algorithm for Neurofeedback Games. The Visual Computer 27(4), 299–309, doi:10.1007/s00371-011-0551-5Google Scholar
  9. 9.
    Cichocki, A., Washizawa, Y., Rutkowski, T., Bakardjian, H., Phan, A.-H., Choi, S., Lee, H., Zhao, Q., Zhang, L., Li, Y.: Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. This Paper Appears in: Computer Issue 41(10), 34–42 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Cybernetic Research Student Group, Institute of Electronic Systems, Faculty of Electronics and Information TechnologiesWarsaw University of TechologyPoland
  2. 2.Research Group on Biocybernetic Aparatus, Institute of Electronic Systems Faculty of Electronics and Information TechnologiesWarsaw University of TechnologyPoland

Personalised recommendations