About this Journal Submit a Manuscript Table of Contents
Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 327953, 7 pages
http://dx.doi.org/10.1155/2011/327953
Research Article

rtMEG: A Real-Time Software Interface for Magnetoencephalography

1Program in Neural Computation, Carnegie Mellon University, Pittsburgh, PA 15213, USA
2Brain Research Unit, Low Temperature Laboratory, Aalto University School of Science, 00076 Espoo, Finland
3Department of Neurology, Froedtert & The Medical College of Wisconsin, Milwaukee, WI 53226, USA
4Departments of Neurology and Biophysics, Froedtert & The Medical College of Wisconsin, Milwaukee, WI 53226, USA
5Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15260, USA

Received 1 October 2010; Revised 18 January 2011; Accepted 28 February 2011

Academic Editor: Robert Oostenveld

Copyright © 2011 Gustavo Sudre et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. M. Stufflebeam, N. Tanaka, and S. P. Ahlfors, “Clinical applications of magnetoencephalography,” Human Brain Mapping, vol. 30, no. 6, pp. 1813–1823, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. J. W. Wheless, E. Castillo, V. Maggio et al., “Magnetoencephalography (MEG) and magnetic source imaging (MSI),” Neurologist, vol. 10, no. 3, pp. 138–153, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. D. J. C. MacKay, “Information-based objective functions for active data selection,” Neural Computation, vol. 4, no. 4, pp. 590–604, 1992.
  4. K. Chaloner and I. Verdinelli, “Bayesian experimental design: a review,” Statistical Science, vol. 10, no. 3, pp. 273–304, 1995.
  5. N. Birbaumer and L. G. Cohen, “Brain-computer interfaces: communication and restoration of movement in paralysis,” Journal of Physiology, vol. 579, no. 3, pp. 621–636, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. W. Wang, J. L. Collinger, M. A. Perez et al., “Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity,” Physical Medicine and Rehabilitation Clinics of North America, vol. 21, no. 1, pp. 157–178, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Mellinger, G. Schalk, C. Braun et al., “An MEG-based brain-computer interface (BCI),” NeuroImage, vol. 36, no. 3, pp. 581–593, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. E. Buch, C. Weber, L. G. Cohen et al., “Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke,” Stroke, vol. 39, no. 3, pp. 910–917, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. T. N. Lai, M. Schröder, N. J. Hill et al., “A brain computer interface with online feedback based on magnetoencephalography,” in Proceedings of the 22nd International Conference on Machine Learning (ICML '05), pp. 465–472, ACM, August 2005. View at Scopus
  10. H. Rongen, V. Hadamschek, and M. Schiek, “Real time data acquisition and online signal processing for magnetoencephalography,” IEEE Transactions on Nuclear Science, vol. 53, no. 3, pp. 704–708, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. C. W. Hesse, R. Oostenveld, T. Heskes, and O. Jensen, “On the development of a brain- computer interfacesystem using high-density magnetoencephalogram signals for real-time control of a robot arm,” in Proceedings of the 4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (EMBS '07), pp. 1–4, 2007.
  12. G. Sudre, W. Wang, T. Song et al., “rtMEG: a real-time software toolbox for brain-machine interfaces using magnetoencephelography,” in Proceedings of the 17th International Conference on Biomagnetism Advances in Biomagnetism (Biomag '10), pp. 362–365, April 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. M. A. Uusitalo and R. J. Ilmoniemi, “Signal-space projection method for separating MEG or EEG into components,” Medical and Biological Engineering and Computing, vol. 35, no. 2, pp. 135–140, 1997. View at Scopus
  14. Fieldtrip buffer, http://fieldtrip.fcdonders.nl/development/realtime/buffer.
  15. Fieldtrip website, http://fieldtrip.fcdonders.nl/.
  16. G. Schalk, D. J. McFarland, T. Hinterberger, N. Birbaumer, and J. R. Wolpaw, “BCI2000: a general-purpose brain-computer interface (BCI) system,” IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1034–1043, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. Brainstream software, http://www.brainstream.nu/.
  18. Mathworks Matlab, http://www.mathworks.com/.
  19. rtMEG documentation, http://fieldtrip.fcdonders.nl/development/realtime/neuromag.
  20. Brainstorm software, http://www.neuroimage.usc.edu/brainstorm/.
  21. Brainvisa software, http://www.brainvisa.info/.
  22. M. X. Huang, J. C. Mosher, and R. M. Leahy, “A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG,” Physics in Medicine and Biology, vol. 44, no. 2, pp. 423–440, 1999. View at Publisher · View at Google Scholar · View at Scopus
  23. S. Baillet, J. C. Mosher, and R. M. Leahy, “Electromagnetic brain mapping,” IEEE Signal Processing Magazine, vol. 18, no. 6, pp. 14–30, 2001. View at Publisher · View at Google Scholar · View at Scopus
  24. S. Taulu, M. Kajola, and J. Simola, “Suppression of interference and artifacts by the signal space separation method,” Brain Topography, vol. 16, no. 4, pp. 269–275, 2004. View at Publisher · View at Google Scholar · View at Scopus
  25. W. Wang, G. P. Sudre, Y. Xu, et al., “Decoding and cortical source localization for intended movement direction with MEG,” Journal of Neurophysiology, vol. 104, no. 5, pp. 2451–2461, 2010.