Fine detection of grasp force and posture by amputees via surface electromyography

Journal of Physiology Paris

Volumn 103, Issue 3-5, 2009, Pages 255-262

  Castellini, Claudio ^a   Gruppioni, Emanuele ^b   Davalli, Angelo ^b   Sandini, Giulio ^c  

^a UNIVERSITY OF GENOA   (Italy)

^b INAIL Centro Protesi   (Italy)

^c ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Electromyography; Hand prosthetics; Learning and adaptive systems; Support vector machines

Indexed keywords

ACCURACY; ADULT; ARTICLE; CASE REPORT; DISABLED PERSON; ELECTROMYOGRAPHY; GRIP STRENGTH; HAND AMPUTATION; HAND PROSTHESIS; HUMAN; MALE; POSITIVE FEEDBACK; SUPPORT VECTOR MACHINE;

ADULT; AMPUTEES; ELECTRODES; ELECTROMYOGRAPHY; EVOKED POTENTIALS, MOTOR; HAND STRENGTH; HUMANS; MALE; MIDDLE AGED; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; POSTURE; PSYCHOMOTOR PERFORMANCE; REGRESSION ANALYSIS; SIGNAL DETECTION, PSYCHOLOGICAL;

EID: 71149100470     PISSN: 09284257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jphysparis.2009.08.008     Document Type: Article

References (43)

1. Bitzer, S., van der Smagt, P., 2006. Learning EMG control of a robotic hand: towards active prostheses. In: Proceedings of ICRA, International Conference on Robotics and Automation, Orlando, Florida, USA, pp. 2819-2823.
2. Boser B.E., Guyon I.M., and Vapnik V.N. A training algorithm for optimal margin classifiers. In: Haussler D. (Ed). Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory (1992), ACM press 144-152
3. Bottomley A.H. Myoelectric control of powered prostheses. Journal of Bone and Joint Surgery B47 (1965) 411-415
4. Burges C.J.C. A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining 2 2 (1998)
5. Butterfass, J., Fischer, M., Grebenstein, M., 2004. Design and experiences with DLR Hand II. In: Proceedings of the World Automation Congress, Seville, Spain, vol. 5, pp. 105-110.
6. Carrozza M., Cappiello G., Micera S., Edin B.B., Beccai L., and Cipriani C. Design of a cybernetic hand for perception and action. Biological Cybernetics 95 6 (2006) 629-644
7. Castellini C., and van der Smagt P. Surface EMG in advanced hand prosthetics. Biological Cybernetics 100 1 (2008) 35-47
8. Castellini, C., van der Smagt, P., Sandini, G., Hirzinger, G., 2008. Surface EMG for force control of mechanical hands. In: Proceedings of ICRA-08 - International Conference on Robotics and Automation, pp. 725-730.
9. Chang, C.-C., Lin, C.-J., 2001. LIBSVM: A Library for Support Vector Machines. .
10. Childress, D.A., 1969. A myoelectric three-state controller using rate sensitivity. In: Proceedings 8th ICMBE, Chicago, IL, pp. 4-5.
11. Cipriani C., Zaccone F., Micera S., and Carrozza M.C. On the shared control of an EMG-controlled prosthetic hand: analysis of user prosthesis interaction. IEEE Transactions on Robotics 24 (2008)
12. Cristianini, N., Shawe-Taylor, J., 2000. An Introduction to Support Vector Machines (and Other Kernel-Based Learning Methods). CUP.
13. Cutkosky M. On grasp choice, grasp models and the design of hands for manufacturing tasks. IEEE Transactions on Robotics and Automation 5 3 (1989) 269-279
14. De Luca C.J. The use of surface electromyography in biomechanics. Journal of Applied Biomechanics 13 2 (1997) 135-163
15. De Luca, C.J., 2002. Surface Electromyography: Detection and Recording. Copyright 2002 by DelSys, Inc..
16. Engeberg E.D., and Meek S. Improved grasp force sensitivity for prosthetic hands through force-derivative feedback. IEEE Transactions on Biomedical Engineering 55 2(2) (2008) 817-821
17. Engeberg E.D., Meek S.G., and Minor M.A. Hybrid force-velocity sliding mode control of a prosthetic hand. IEEE Transactions on Biomedical Engineering 55 5 (2008) 1572-1581
18. Englehart K., Hudgins B., and Parker P.A. A wavelet based continuous classification scheme for multifunction myoelectric control. IEEE Transactions on Biomedical Engineering 48 3 (2001) 302-311
19. Ferguson, S., Dunlop, G.R., 2002. Grasp recognition from myoelectric signals. In: Proceedings of the Australasian Conference on Robotics and Automation, Auckland, New Zealand, pp. 83-87.
20. Fukuda O., Tsuji T., Kaneko M., and Otsuka A. A human-assisting manipulator teleoperated by EMG signals and arm motions. IEEE Transactions on Robotics and Automation 19 2 (2003) 210-222 apr
21. Futek, 2008. Futek LMD500 Medical Load Cell (Hand). .
22. Hamilton R.H., and Pascual-Leone A. Cortical plasticity associated with Braille learning. Trends in Cognitive Sciences 2 5 (1998) 168-174
23. Huang, H., Jiang, L., Zhao, D., Zhao, J., Cai, H., Liu, H., Meusel, P., Willberg, B., Hirzinger, G., 2006. The development on a new biomechatronic prosthetic hand based on under-actuated mechanism. In: Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3791-3796.
24. Jiang N., Englehart K., and Parker P. Extracting simultaneous and proportional neural control information for multiple degree of freedom prostheses from the surface electromyographic signal. IEEE Transactions on Biomedical Engineering (2008)
25. Kato, R., Yokoi, H., Arai, T., 2006. Competitive learning method for robust EMG-to-motion classifier. In: IAS, pp. 946-953.
26. Kuiken T. Targeted reinnervation for improved prosthetic function. Physical Medicine & Rehabilitation Clinics of North America 17 1 (2006) 1-13
27. Lajoie Y., Paillard J., Teasdale N., Bard C., Fleury M., Forget R., and Lamarre Y. Mirror drawing in a deafferented patient and normal subjects: visuoproprioceptive conflict. Neurology 42 (1992) 1104-1106
28. Mercier C., Reilly K.T., Vargas C.D., Aballea A., and Sirigu A. Mapping phantom movement representations in the motor cortex of amputees. Brain 129 (2006) 2202-2210
29. Miall R.C., and Cole J. Evidence for stronger visuo-motor than visuo-proprioceptive conflict during mirror drawing performed by a deafferented subject and control subjects. Experimental Brain Research 176 (2007) 432-439
30. Ott C. Cartesian Impedance Control of Redundant and Flexible-joint Robots. Springer Tracts in Advanced Robotics (STAR) vol. 49 (2008), Springer-Verlag
31. OttoBock, 2008. Otto Bock MYOBOCK 13E125 = 50 Electrodes. .
32. Parker P.A., Englehart K., and Hudgins B. Myoelectric signal processing for control of powered limb prostheses. Journal of Electromyography and Kinesiology 16 6 (2006) 541-548
33. Ramachandran V.S., and Rogers-Ramachandran D. Synaesthesia in phantom limbs induced with mirrors. Proceedings of the Royal Society B: Biological Sciences 263 1369 (1996) 377-386
34. Reflex Pain Management, 2008. Folding mirror therapy box. .
35. Reilly K.T., Mercier C., Schieber M.H., and Sirigu A. Persistent hand motor commands in the amputees brain. Brain 129 (2006) 2211-2223
36. Sebelius F.C.P., Rosén B.N., and Lundborg G.N. Refined myoelectric control in below-elbow amputees using artificial neural networks and a data glove. Journal of Hand Surgery 30A 4 (2005) 780-789
37. Smola A.J., and Schölkopf B. A tutorial on support vector regression. Statistics and Computing 14 3 (2004) 199-222
38. Tsukamoto M., Kondo T., and Ito K. A prosthetic hand control based on nonstationary EMG at the start of movement. Journal of Robotics and Mechatronics 19 4 (2007) 381-387
39. Vapnik V.N. Statistical Learning Theory (1998), John Wiley and Sons, New York
40. Varma S., and Simon R. Bias in error estimation when using cross-validation for model selection. BMC Bioinformatics 7 1 (2006)
41. Vijayakumar S., D'Souza A., and Schaal S. Incremental online learning in high dimensions. Neural Computation 17 (2005) 2602-2634
42. Wimboeck, T., Ott, C., Albu-Schaeffer, A., Kugi, A., Hirzinger, G., 2008. Impedance control for variable stiffness mechanisms with nonlinear joint coupling. In: Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France, pp. 3796-3803.
43. Zecca M., Micera S., Carrozza M.C., and Dario P. Control of multifunctional prosthetic hands by processing the electromyographic signal. Critical Reviews in Biomedical Engineering 30 4-6 (2002) 459-485