Virtual grasping: Closed-loop force control using electrotactile feedback

Computational and Mathematical Methods in Medicine

Volumn 2014, Issue , 2014, Pages

  Jorgovanovic, Nikola ^a   Dosen, Strahinja ^b   Djozic, Damir J ^a   Krajoski, Goran ^a   Farina, Dario ^b  

^a UNIVERSITY OF NOVI SAD   (Serbia)

^b UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; CLOSED LOOP SYSTEMS; ELECTROPHYSIOLOGY; FEEDFORWARD CONTROL; PROSTHETICS;

CLOSED-LOOP CONTROL; CLOSED-LOOP PERFORMANCE; DYNAMICAL MODEL; ELECTROTACTILE FEEDBACKS; NEURAL STIMULATIONS; SENSORY SUBSTITUTION; SOMATOSENSORY FEEDBACKS; VIRTUAL GRASPING;

FEEDBACK;

ADULT; ARTICLE; BIOMECHANICS; COMPUTER INTERFACE; ELECTROTACTILE FEEDBACK; FEEDBACK SYSTEM; FEMALE; GRIP STRENGTH; HUMAN; HUMAN EXPERIMENT; MALE; MOTOR CONTROL; NORMAL HUMAN; PROSTHESIS; VIRTUAL REALITY; BODY POSTURE; COMPUTER GRAPHICS; COMPUTER SYSTEM; ELECTROSTIMULATION; HAND; HAND STRENGTH; LIMB PROSTHESIS; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REPRODUCIBILITY;

ADULT; ARTIFICIAL LIMBS; COMPUTER GRAPHICS; COMPUTER SYSTEMS; ELECTRIC STIMULATION; FEEDBACK; FEMALE; HAND; HAND STRENGTH; HUMANS; MALE; MOVEMENT; POSTURE; PROSTHESIS DESIGN; REPRODUCIBILITY OF RESULTS;

EID: 84893168312     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2014/120357     Document Type: Article

References (31)

1. Johansson R. S., Cole K. J., Sensory-motor coordination during grasping and manipulative actions. Current Opinion in Neurobiology 1992 2 6 815 823 2-s2.0-0027025157
2. Iyengar V., Santos M. J., Ko M., Aruin A. S., Grip force control in individuals with multiple sclerosis. Neurorehabilitation and Neural Repair 2009 23 8 855 861 2-s2.0-70349301537 10.1177/1545968309338194
3. Rothwell J. C., Traub M. M., Day B. L., Manual motor performance in a deafferented man. Brain 1982 105 3 515 542 2-s2.0-0019920672 (Pubitemid 12004281)
4. Touch Bionics iLimb. 2013, http://www.touchbionics.com/
5. Otto Bock Sensor Hand Speed. 2013, http://www.ottobock.de/cps/rde/xchg/ ob-com-en/hs.xsl/3652.html
6. Dhillon G. S., Horch K. W., Direct neural sensory feedback and control of a prosthetic arm. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2005 13 4 468 472 2-s2.0-29644439037 10.1109/TNSRE.2005.856072 (Pubitemid 43019184)
7. Szeto A., Saunders F. A., Electrocutaneous stimulation for sensory communication in rehabilitation engineering. IEEE Transactions on Biomedical Engineering 1982 29 4 300 308 2-s2.0-0020116505 (Pubitemid 12499739)
8. Kaczmarek K. A., Webster J. G., Bach-y-Rita P., Tompkins W. J., Electrotactile and vibrotactile displays for sensory substitution systems. IEEE Transactions on Biomedical Engineering 1991 38 1 1 16 2-s2.0-0026096943 10.1109/10.68204
9. Pylatiuk C., Kargov A., Schulz S., Design and evaluation of a low-cost force feedback system for myoelectric prosthetic hands. Journal of Prosthetics and Orthotics 2006 18 2 57 61 2-s2.0-33749435189 10.1097/00008526-200604000- 00007 (Pubitemid 44510417)
10. Chatterjee A., Chaubey P., Martin J., Thakor N., Testing a prosthetic haptic feedback simulator with an interactive force matching task. Journal of Prosthetics and Orthotics 2008 20 2 27 34 2-s2.0-41849087742 10.1097/01.JPO.0000311041.61628.be
11. Cipriani C., Zaccone F., Micera S., Carrozza M. C., On the shared control of an EMG-controlled prosthetic hand: analysis of user-prosthesis interaction. IEEE Transactions on Robotics 2008 24 1 170 184 2-s2.0-40949129655 10.1109/TRO.2007.910708 (Pubitemid 351411206)
12. Patterson P. E., Katz J. A., Design and evaluation of a sensory feedback system that provides grasping pressure in a myoelectric hand. Journal of Rehabilitation Research and Development 1992 29 1 1 8 2-s2.0-0027006830
13. Meek S. G., Jacobsen S. C., Goulding P. P., Extended physiologic taction: design and evaluation of a proportional force feedback system. Journal of Rehabilitation Research and Development 1989 26 3 53 62 2-s2.0-0024676405 (Pubitemid 19189051)
14. Shannon G. F., Sensory feedback for artificial limbs. Medical Progress through Technology 1979 6 2 73 79 2-s2.0-0018412407 (Pubitemid 9106950)
15. Witteveen H. J. B., Rietman J. S., Veltink P. H., Grasping force and slip feedback through vibrotactile stimulation to be used in myoelectric forearm prostheses. 2012 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society January 2012 2969 2972
16. Saunders I., Vijayakumar S., The role of feed-forward and feedback processes for closed-loop prosthesis control. Journal of NeuroEngineering and Rehabilitation 2011 8, article 60 2-s2.0-80054943371 10.1186/1743-0003-8-60
17. Chatterjee A., Chaubey P., Martin J., Thakor N. V., Quantifying prosthesis control improvements using a vibrotactile representation of grip force. Proceedings of the IEEE Region 5 Conference April 2008 Kansas City, Mo, USA 1 5 2-s2.0-51849139929 10.1109/TPSD.2008.4562727
18. Scott R. N., Caldwell R. R., Brittain R. H., Sensory-feedback system compatible with myoelectric control. Medical and Biological Engineering and Computing 1980 18 1 65 69 2-s2.0-0018913645 (Pubitemid 10210706)
19. Wang G., Zhang X., Zhang J., Gruver W. A., Gripping force sensory feedback for a myoelectrically controlled forearm prosthesis. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics October 1995 501 504 2-s2.0-0029487943
20. Lundborg G., Rośn B., Lindström K., Lindberg S., Artificial sensibility based on the use of piezoresistive sensors: preliminary observations. Journal of Hand Surgery 1998 23 5 620 626 2-s2.0-0031762621 10.1016/S0266-7681(98)80016-8 (Pubitemid 28484697)
21. Zafar M., Van Doren C. L., Effectiveness of supplemental grasp-force feedback in the presence of vision. Medical and Biological Engineering and Computing 2000 38 3 267 274 2-s2.0-0034081324 (Pubitemid 30352922)
22. Humbert S. D., Snyder S. A., Grill W. M. Jr., Evaluation of command algorithms for control of upper-extremity neural prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2002 10 2 94 101 2-s2.0-0036592583 10.1109/TNSRE.2002.1031977 (Pubitemid 35013095)
23. Kingdom F. A. A., Prins N., Psychophysics: A Practical Introduction 2009 Academic Press
24. Stepp C. E., An Q., Matsuoka Y., Repeated training with augmentative vibrotactile feedback increases object manipulation performance. PLoS ONE 2012 7 2 2-s2.0-84857590738 10.1371/journal.pone.0032743 e32743
25. Stepp C. E., Matsuoka Y., Object manipulation improvements due to single session training outweigh the differences among stimulation sites during vibrotactile feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2011 19 6 677 685 2-s2.0-83455220037 10.1109/TNSRE.2011.2168981
26. Szeto A. Y. J., Lyman J., Prior R. E., Electrocutaneous pulse rate and pulse width psychometric functions for sensory communications. Human Factors 1979 21 2 241 249 2-s2.0-0018463773 (Pubitemid 9226794)
27. McCallum P., Goldberg H., Magnitude scales for electrocutaneous stimulation. Perception and Psychophysics 1975 17 1 75 78 2-s2.0-0016427652
28. Marcus P. L., Fuglevand A. J., Perception of electrical and mechanical stimulation of the skin: implications for electrotactile feedback. Journal of Neural Engineering 2009 6 6 66008 2-s2.0-75549089971 10.1088/1741-2560/6/6/ 066008
29. Buma D. G., Buitenweg J. R., Veltink P. H., Intermittent stimulation delays adaptation to electrocutaneous sensory feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2007 15 3 435 441 2-s2.0-34648857532 10.1109/TNSRE.2007.903942 (Pubitemid 47460413)
30. Szeto A. Y. J., Farrenkopf G. R., Optimization of single electrode tactile codes. Annals of Biomedical Engineering 1992 20 6 647 665 2-s2.0-0026471896 10.1007/BF02368611
31. Censor N., Sagi D., Cohen L. G., Common mechanisms of human perceptual and motor learning. Nature Reviews Neuroscience 2012 13 9 658 664