Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping

Experimental Brain Research

Volumn 233, Issue 6, 2015, Pages 1855-1865

  Dosen, Strahinja ^a   Markovic, Marko ^b   Wille, Nicola ^b,c   Henkel, Markus ^b,c   Koppe, Mario ^b,c   Ninu, Andrei ^a   Frömmel, Cornelius ^a   Farina, Dario ^a  

^a UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

^b Otto Bock HealthCare GmbH   (Germany)

^c Department of Psychology   (Germany)

Author keywords

Closed loop control; Feedback; Feedforward; Grasping force; Internal models; Upper limb prostheses

Indexed keywords

ADULT; ARTICLE; CLOSED LOOP CONTROLLED MYOELECTRIC PROSTHESIS; CONTROL SYSTEM; CONTROLLED STUDY; ELECTROMYOGRAM; FEEDBACK SYSTEM; FORCE; GRASPING; HAND MOVEMENT; HAND PROSTHESIS; HUMAN; MYOELECTRIC CONTROL; NEUROPROSTHESIS; OUTCOME ASSESSMENT; PRIORITY JOURNAL; VIRTUAL REALITY; ELECTROMYOGRAPHY; EVOKED MUSCLE RESPONSE; FEMALE; HAND STRENGTH; LIMB PROSTHESIS; MALE; PHYSIOLOGY; SENSORY FEEDBACK; SKELETAL MUSCLE;

ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; EVOKED POTENTIALS, MOTOR; FEEDBACK, SENSORY; FEMALE; HAND STRENGTH; HUMANS; MALE; MUSCLE, SKELETAL;

EID: 84929844099     PISSN: 00144819     EISSN: 14321106     Source Type: Journal    
DOI: 10.1007/s00221-015-4257-1     Document Type: Article

References (32)

1. Antfolk C, D’Alonzo M, Rosén B et al (2013) Sensory feedback in upper limb prosthetics. Expert Rev Med Devices 10:45–54. doi:10.1586/erd.12.68
2. Augurelle A-S, Smith AM, Lejeune T, Thonnard J-L (2003) Importance of cutaneous feedback in maintaining a secure grip during manipulation of hand-held objects. J Neurophysiol 89:665–671. doi:10.1152/jn.00249.2002
3. Belter JT, Segil JL, Dollar AM, Weir RF (2013) Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review. J Rehabil Res Dev 50:599–618
4. Chatterjee A, Chaubey P, Martin J, Thakor N (2008) Testing a prosthetic haptic feedback simulator with an interactive force matching task. JPO J Prosthet Orthot 20:27–34. doi:10.1097/01.JPO.0000311041.61628.be
5. Cipriani C, Zaccone F, Micera S, Carrozza MC (2008) On the shared control of an EMG-controlled prosthetic hand: analysis of user–prosthesis interaction. IEEE Trans Robot 24:170–184. doi:10.1109/TRO.2007.910708
6. D’Alonzo M, Dosen S, Cipriani C, Farina D (2013) HyVE: hybrid vibro-electrotactile stimulation for sensory feedback and substitution in rehabilitation. IEEE Trans Neural Syst Rehabil Eng. doi:10.1109/TNSRE.2013.2266482
7. Davidson PR, Wolpert DM (2005) Widespread access to predictive models in the motor system: a short review. J Neural Eng 2:S313–S319. doi:10.1088/1741-2560/2/3/S11
8. Dosen S, Markovic M, Hartmann C, Farina D (2014) Sensory feedback in prosthetics: a standardized test bench for closed-loop control. IEEE Trans Neural Syst Rehabil, Eng
9. Engeberg ED, Meek S (2008) Improved grasp force sensitivity for prosthetic hands through force-derivative feedback. IEEE Trans Biomed Eng 55:817–821. doi:10.1109/TBME.2007.912675
10. Engeberg ED, Meek SG, Minor MA (2008) Hybrid force-velocity sliding mode control of a prosthetic hand. IEEE Trans Biomed Eng 55:1572–1581. doi:10.1109/TBME.2007.914672
11. Haruno M, Wolpert DM, Kawato M (2001) Mosaic model for sensorimotor learning and control. Neural Comput 13:2201–2220. doi:10.1162/089976601750541778
12. Hermsdörfer J, Elias Z, Cole JD et al (2008) Preserved and impaired aspects of feed-forward grip force control after chronic somatosensory deafferentation. Neurorehabil Neural Repair 22:374–384. doi:10.1177/1545968307311103
13. Hermsdörfer J, Li Y, Randerath J et al (2011) Anticipatory scaling of grip forces when lifting objects of everyday life. Exp Brain Res 212:19–31. doi:10.1007/s00221-011-2695-y
14. Johansson RS, Cole KJ (1994) Grasp stability during manipulative actions. Can J Physiol Pharmacol 72:511–524
15. Jorgovanovic N, Dosen S, Djozic DJ et al (2014) Virtual grasping: closed-loop force control using electrotactile feedback. Comput Math Methods Med 2014:120357. doi:10.1155/2014/120357
16. Kaczmarek KA, Webster JG, Bach-y-Rita P, Tompkins WJ (1991) Electrotactile and vibrotactile displays for sensory substitution systems. IEEE Trans Biomed Eng 38:1–16. doi:10.1109/10.68204
17. Kawato M, Gomi H (1992) A computational model of four regions of the cerebellum based on feedback-error learning. Biol Cybern 68:95–103
18. Kawato M, Wolpert D (1998) Internal models for motor control. Novartis Found Symp 218:291 discussion 304–7
19. Kawato M, Furukawa K, Suzuki R (1987) A hierarchical neural-network model for control and learning of voluntary movement. Biol Cybern 57:169–185. doi:10.1007/BF00364149
20. Körding KP, Wolpert DM (2004) Bayesian integration in sensorimotor learning. Nature 427:244–247. doi:10.1038/nature02169
21. Lum PS, Black I, Holley RJ et al (2014) Internal models of upper limb prosthesis users when grasping and lifting a fragile object with their prosthetic limb. Exp Brain Res. doi:10.1007/s00221-014-4071-1
22. MacKenzie C, Iberall T (2010) The grasping hand. Elsevier B.V, Amsterdam
23. Metzger AJ, Dromerick AW, Schabowsky CN et al (2010) Feedforward control strategies of subjects with transradial amputation in planar reaching. J Rehabil Res Dev 47:201–211
24. Ning J, Dosen S, Muller K-R, Farina D (2012) Myoelectric control of artificial limbs—Is there a need to change focus? [In the Spotlight]. IEEE Signal Process Mag 29:150–152. doi:10.1109/MSP.2012.2203480
25. Ninu A, Dosen S, Muceli S et al (2014) Closed loop control of grasping with a myoelectric hand prosthesis: Which are the relevant feedback variables for force control? IEEE Trans Neural Syst Rehabil Eng. doi:10.1109/TNSRE.2014.2318431
26. Patterson PE, Katz JA (1992) Design and evaluation of a sensory feedback system that provides grasping pressure in a myoelectric hand. J Rehabil Res Dev 29:1–8
27. Sanger TD (2007) Bayesian filtering of myoelectric signals. J Neurophysiol 97:1839–1845. doi:10.1152/jn.00936.2006
28. Saunders I, Vijayakumar S (2011) The role of feed-forward and feedback processes for closed-loop prosthesis control. J Neuroeng Rehabil 8:60. doi:10.1186/1743-0003-8-60
29. Szeto AY, Saunders FA (1982) Electrocutaneous stimulation for sensory communication in rehabilitation engineering. IEEE Trans Biomed Eng 29:300–308
30. Weeks DL, Wallace SA, Noteboom JT (2000) Precision-grip force changes in the anatomical and prosthetic limb during predictable load increases. Exp Brain Res 132:404–410
31. Wolpert DM, Kawato M (1998) Multiple paired forward and inverse models for motor control. Neural Netw 11:1317–1329
32. Wolpert DM, Miall RC (1996) Forward models for physiological motor control. Neural Netw 9:1265–1279