![](bg8.png)
cations, will enable more realistic and motivating tasks for patients. Finally, VR envi-
ronments are easily controlled and patient safe, e.g. crosswalk simulation.
References
1. H. Krebs, N. Hogan, M. Aisen, and B. Volpe, “Robot-aided neurorehabilitation.” IEEE Trans
Rehabil Eng, vol. 6, pp. 75–87, 1998.
2. B. Rohrer, S. Fasoli, H. Krebs, R. Hughes, B. Volpe, W. Frontera, J. Stein, and N. Hogan,
“Movement smoothness changes during stroke recovery,” The Journal of Neuroscience,
vol. 22, no. 18, pp. 8297–8304, 2002.
3. B. M. Nigg and W. Herzog, Biomechanics of the Musculo-skeletal System, 2nd ed. John
Wiley and Sons, 1999.
4. D. H. Sutherland, “The evolution of clinical gait analysis part II kinematics,” Gait & Posture,
vol. 16, pp. 159–179, 2002.
5. D. H. Sutherland, “The evolution of clinical gait analysis part III – kinetics and energy as-
sessment,” Gait & Posture, vol. 21, pp. 447–461, 2005.
6. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cam-
bridge University Press, ISBN: 0521540518, 2004.
7. T. Bragge and M. Hakkarainen and M. P. Tarvainen and I. M. Tarkka and P. A. Karjalainen,
“A transportable camera based motion analysis system with application to monitoring of
rehabilitation of hand”, 11th International Congress For Medical Physics and Biomedical
Engineering, Munich, September 2009.
8. S. Debener, M. Ullsperger, M. Siegel, and A. K. Engel, “ Single-trial EEG/fMRI reveals the
dynamics of cognitive function,” Trends Cognit Sci, vol. 10, pp. 558–563, 2006.
9. P. A. Karjalainen, J. P. Kaipio, A. S. Koistinen, and M. Vauhkonen, “Subspace regularization
method for the single trial estimation of evoked potentials,” IEEE Trans Biomed Eng, vol. 46,
pp. 849–860, 1999.
10. P. O. Ranta-aho, A. S. Koistinen, J. O. Ollikainen, J. P. Kaipio, J. Partanen, and P. A. Kar-
jalainen, “Subspace Regularization method for the Single Trial Estimation of Multi Channel
Evoked Potential Measurements,” IEEE Trans Biomed Eng, vol. 50, 2, pp. 189–196, 2003.
11. M. P. Tarvainen, J. K. Hiltunen, P. O. Ranta-aho, and P. A. Karjalainen, “Estimation of Non-
stationary EEG with Kalman Smoother Approach: an Application to Event-Related Synchro-
nization (ERS),” IEEE Trans Biomed Eng, vol. 51, no. 3, pp. 516-524, 2004.
12. S. D. Georgiadis, P. O. Ranta-aho, M. P. Tarvainen, and P. A. Karjalainen, “Single-trial dy-
namical estimation of event related potentials: a Kalman filter based approach,” IEEE Trans
Biomed Eng, vol. 52, pp. 1397–1406, 2005.
13. B. Blankertz, R. Tomioka, S. Lamm, M. Kawanable, and K.-L. M¨uller, “Optimizing spatial
filters for robust EEG single-trial analysis”, IEEE Sig Proc Mag, vol. 25, pp. 41–56, 2008.
14. R. Sitaram, N. Weiskopf, A. Caria, R. Veit, M. Erb, and N. Birbaumer, “ fMRI Brain-
Computer Interfaces”, IEEE Sig Proc Mag, vol. 25, pp. 95-106, 2008.
15. C. S. Herrmann and S. Debener, “Simultaneous recording of EEG and BOLD responses: A
historical perspective,” Int. J. Psychophys, vol. 67, 3, pp. 161–168, 2008.
16. P. O. Ranta-aho and E. I. Niskanen and S. D. Georgiadis and M. Knnen and M. P. Tarvainen
and P. A. Karjalainen “Estimation of single-trial fMRI BOLD responses using combined
EEG and fMRI measurements”, Proc 30th Annu Int Conf IEEE EMBS, Vancouver, August,
2008.
82