Adaptive Kalman filtering for closed-loop Brain-Machine Interface systems

2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011

Volumn , Issue , 2011, Pages 609-612

  Dangi, Siddharth ^a   Gowda, Suraj ^a   Heliot, Rodolphe ^a   Carmena, Jose M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE KALMAN FILTER; ADAPTIVE KALMAN FILTERING; BRAIN MACHINE INTERFACE; CLOSED-LOOP; CLOSED-LOOP CONTROL; COMPUTER CURSOR; DECODING ALGORITHM; MODEL PARAMETERS; NEURAL SIGNALS; NON-STATIONARITIES; OFFLINE; PARAMETER MATRICES; SKILL ACQUISITION; STANDARD KALMAN FILTERS;

ADAPTIVE CONTROL SYSTEMS; DECODING; KALMAN FILTERS; ONLINE SYSTEMS;

CLOSED LOOP CONTROL SYSTEMS;

EID: 79960350949     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2011.5910622     Document Type: Conference Paper

References (13)

1. J. M. Carmena, M. A. Lebedev, R. E. Crist, J. E. O'Doherty, D. M. Santucci, D. F. Dimitrov, P. G. Patil, C. S. Henriquez, and M. A. L. Nicolelis, "Learning to control a brain-machine interface for reaching and grasping by primates", PLoS Biol, vol. 1, no. 2, p. e42, 10 2003.
2. L. R. Hochberg et al., "Neuronal ensemble control of prosthetic devices by a human with tetraplegia", Nature, vol. 442, no. 7099, pp. 164-171, July 2006.
3. G. Santhanam, S. I. Ryu, B. M. Yu, A. Afshar, and K. V. Shenoy, "A high-performance brain-computer interface", Nature, vol. 442, no. 7099, pp. 195-198, 2006.
4. M. Velliste, S. Perel, M. C. Spalding, A. S. Whitford, and A. B. Schwartz, "Cortical control of a prosthetic arm for self-feeding", Nature, vol. 453, no. 7198, pp. 1098-1101, May 2008.
5. K. Ganguly and J. M. Carmena, "Emergence of a stable cortical map for neuroprosthetic control", PLoS Biol, vol. 7, p. e1000153, 07 2009.
6. S. Koyama, S. Chase, A. Whitford, M. Velliste, A. Schwartz, and R. Kass, "Comparison of braincomputer interface decoding algorithms in open-loop and closed-loop control", Journal of Computational Neuroscience, vol. 29, pp. 73-87, 2010, 10.1007/s10827-009-0196-9.
7. M. Linderman et al., "Signal processing challenges for neural prostheses", Signal Processing Magazine, IEEE, vol. 25, no. 1, pp. 18-28, 2008.
8. V. S. Polikov, P. A. Tresco, and W. M. Reichert, "Response of brain tissue to chronically implanted neural electrodes", Journal of Neuroscience Methods, vol. 148, no. 1, pp. 1-18, 2005.
9. V. Gilja et al., "A high-performance continuous cortically- controlled prosthesis enabled by feedback control design", 2010 Neuroscience Meeting Planner. San Diego, CA, 2010.
10. V. Gilja, P. Nuyujukian, C. Chestek, J. Cunningham, B. Yu, S. Ryu, and K. Shenoy, "High-performance continuous neural cursor control enabled by feedback control perspective." Computational and Systems Neuroscience (COSYNE 2010).
11. R. Héliot, K. Ganguly, J. Jimenez, and J. M. Carmena, "Learning in closed-loop brain-machine interfaces: modeling and experimental validation", IEEE Trans. Sys. Man Cyber. Part B, vol. 40, pp. 1387-1397, October 2010.
12. W. Wu et al., "Bayesian population decoding of motor cortical activity using a Kalman filter." Neural Computation, vol. 18, no. 1, pp. 80-118, January 2006.
13. M. H. Hayes, Statistical Digital Signal Processing and Modeling. Wiley, March 1996.