Online electromyographic control of a robotic prosthesis

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 3, 2008, Pages 1128-1135

  Shenoy, Pradeep ^a   Miller, Kai J ^a   Crawford, Beau ^a   Rao, Rajesh P N ^a  

^a University of Washington   (United States)

Author keywords

Classification; Electromyography; Online; Prosthetics; Support vector machines

Indexed keywords

ELECTROMYOGRAPHY; ONLINE SYSTEMS; PROSTHETICS; REAL TIME SYSTEMS;

CLASSIFICATION BASED PARADIGMS; ONLINE CONTROL SYSTEM;

SUPPORT VECTOR MACHINES;

ARM PROSTHESIS; ARTICLE; CONTROL SYSTEM; ELECTROMYOGRAM; HUMAN; ONLINE MONITORING; ONLINE SYSTEM; ROBOTICS; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; FEEDBACK; HUMANS; JOINT PROSTHESIS; MAN-MACHINE SYSTEMS; ONLINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; ROBOTICS; THERAPY, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 39749179113     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.909536     Document Type: Article

References (19)

1. B. Crawford, K. Miller, P. Shenoy, and R.P. N. Rao, "Real-time classification of electromyographic signals for robotic arm control," presented at the AAAI, Pittsburgh, PA, 2005.
2. L. Eriksson, F. Sebelius, and C. Balkenius, "Neural control of a virtual prosthesis," presented at the ICANN, Skoevde, Sweden, 1998.
3. A. D. Chan and K. Englehart, "Continuous myoelectric control for powered prostheses using hidden Markov models," IEEE Trans. Biomed. Eng., vol. 52, no. 1, pp. 121-124, Jan. 2005.
4. Y. Huang, K. Englehart, B. Hudgins, and A. Chan, "A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses," IEEE Trans. Biomed. Eng., vol. 52, no. 11, pp. 1801-1811, Nov. 2005.
5. C. Deluca, Surface Electromyography Detection and Recording. Boston, MA: Boston Univ., Neuromuscular Res. Ctr., 1997.
6. K. Engelhart, B. Hudgins, P. Parker, and M. Stevenson, "Classification of the myoelectric signal using time-frequency based representations," in Med. Eng. Phys., 1999, vol. 21, pp. 431-438.
7. M. Reischl, L. Groll, and R. Mikut, "Optimized classification of multiclass problems applied to EMG control of hand prostheses," presented at the ICANN, Budapest, Hungary, 2004.
8. D. Nishikawa, W. Yu, H. Yokoi, and Y. Kakazu, "EMG prosthetic hand controller discriminating ten motions using real-time learning method," presented at the IEEE/RSJ IROS, Kyongju, Korea, 1999.
9. F. Sebelius, M. Axelsson, N. Danielsen, J. Schouenborg, and T. Laurell, "Real-time control of a virtual hand," Technol. Disabil., vol. 17, no. 3, 2005.
10. R. Boostani and M. Moradi, "Evaluation of the forearm EMG signal features for the control of a prosthetic hand," Physiol. Meas., vol. 24, no. 2, 2003.
11. P. Ju, L. Kaelbling, and Y. Singer, "State-based classification of finger gestures from electromyographic signals," presented at the ICML, Stanford, CA, 2000.
12. M. C. Carrozza, A. Persichetti, C. Laschi, F. Vecchi, R. Lazzarini, V. Tamburrelli, P. Vacalebri, and P. Dario, "A novel wearable interface for robotic hand prostheses," presented at the IEEE Int. Conf. Rehabilitation Robotics, Chicago, IL, 2005.
13. K. Englehart and B. Hudgins, "A robust real-time control scheme for multifunction myoelectric control," IEEE Trans. Biomed. Eng., vol. 50, no. 7, pp. 848-854, Jul. 2003.
14. K. Englehart, B. Hudgins, and A. Chan, "Continuous multifunction myoelectric control using pattern recognition," Technol. Disabil., vol. 15, no. 2, 2003.
15. B. Scholkopf and A. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. Cambridge, MA: MIT Press, 2002.
16. C.-W. Hsu and C.-J. Lin, "A comparison of methods for multi-class support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425, Mar. 2002.
17. C.-C. Chang and C.-J. Lin, LIBSVM: A Library for Support Vector Machines 2001. [Online]. Available: http://www.csie.ntu.edu.tw/cjlin/libsvm.
18. T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability estimates for multiclass classification by pairwise coupling," in Proc. JMLR, 2004, vol. 5, pp. 252-259.
19. P. Shenoy and R. P. N. Rao, "Dynamic Bayesian networks for braincomputer interfaces," in Advances NIPS, 2005, vol. 17, pp. 1265-1272.