Future Research Directions

Targeted Muscle Reinnervation: A Neural Interface for Artificial Limbs

Volumn , Issue , 2013, Pages 165-183

  Hargrove, Levi J ^a,b   Lock, Blair A ^c  

^a NORTHWESTERN UNIVERSITY   (United States)

^b Northwestern University   (United States)

^c REHABILITATION INSTITUTE OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84979543342     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b15079-15     Document Type: Chapter

References (41)

1. Aggarwal, V., S. Acharya, F. Tenore, et al. 2008. Asynchronous decoding of dexter-ous finger movements using M1 neurons. IEEE Trans Neural Syst Rehabil Eng 16 (1):3-14.
2. Agnew, S. P., A. E. Schultz, G. A. Dumanian, and T. A. Kuiken. 2012. Targeted reinner-vation in the transfemoral amputee: a preliminary study of surgical technique. Plast Reconstr Surg 129 (1):187-194.
3. Au, S., and H. Herr. 2008. Powered ankle-foot prosthesis. The importance of series and parallel motor elasticity. IEEE Robotics and Automation Magazine 15(3):52-59.
4. Biddiss, E., and T. Chau. 2007. Upper-limb prosthetics: critical factors in device aban-donment. Am J Phys Med Rehabil 86 (12):977-987.
5. Branemark, R., P. I. Branemark, B. Rydevik, and R. R. Myers. 2001. Osseointegration in skeletal reconstruction and rehabilitation: a review. J Rehab Res Dev 38 (2):175-181.
6. Dillingham, T. R., L. E. Pezzin, and E. J. MacKenzie. 2002. Limb amputation and limb deficiency: epidemiology and recent trends in the United States. South Med J 95 (8):875-883.
7. Hargrove, L., K. Englehart, and B. Hudgins. 2007. A comparison of surface and intra-muscular myoelectric signal classification. IEEE Trans Biomed Eng 54:847-853.
8. Hargrove, L., A. Simon, R. Lipschutz, S. Finucane, and T. A. Kuiken. 2011. Real-time myoelectric control of knee and ankle motions for transfemoral amputees. JAMA 305 (15):1442-1444.
9. Hargrove, L., A. Simon, R. Lipschutz, S. Finucane, D. Smith, and T. A. Kuiken. 2013. Robotic leg control with EMG decoding by an amputee with nerve transfers. New Engl J Med. Accepted.
10. Holgate, M. A., J. K. Hitt, R. D. Bellman, T. G. Sugar, and K. W. Hollander. 2008. The SPARKy (Spring Ankle with Regenerative Kinetics) project: choosing a DC motor based actuation method. Paper read at the second IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 19-22 Oct. 2008.
11. Huang, H., T. Kuiken, and R. Lipschutz. 2009. A strategy for identifying locomotion modes using surface electromyography. IEEE Trans Biomed Eng 56 (1):65-73.
12. Huang, H., F. Zhang, L. J. Hargrove, D. Zhi, D. R. Rogers, and K. B. Englehart. 2011. Continuous locomotion-mode identification for prosthetic legs based on neuro-muscular mechanical fusion. IEEE Trans Biomed Eng 58 (10):2867-2875.
13. Huang, H., P. Zhou, G. Li, and T. A. Kuiken. 2008. An analysis of EMG electrode con-figuration for targeted muscle reinnervation based neural machine interface. IEEE Trans Neural Syst Rehabil Eng 16 (1):37-45.
14. Kuiken, T. A., G. A. Dumanian, R. D. Lipschutz, L. A. Miller, and K. A. Stubblefield. 2004. The use of targeted muscle reinnervation for improved myoelectric pros-thesis control in a bilateral shoulder disarticulation amputee. Prosthet Orthot Int 28 (3):245-253.
15. Kuiken, T. A., G. Li, B. A. Lock, et al. 2009. Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. JAMA 301 (6):619-628.
16. Lawson, B. E., H. A. Varol, and M. Goldfarb. 2011. Standing stability enhancement with an intelligent powered transfemoral prosthesis. IEEE Trans Biomed Eng 58 (9):2617-2624.
17. Lee, W. A. 1984. Neuromotor synergies as a basis for coordinated intentional action. J Motor Behav 16 (2):135-170.
18. Li, G., A. E. Schultz, and T. A. Kuiken. 2009. Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses. IEEE Trans Neural Syst Rehabil Eng 18 (2):185-192.
19. MacPherson, J. M. 1991. How flexible are muscle synergies? In Motor Control: Concepts and Issues, edited by D. R. Humphrey and H.-J. Freund. West Sussex, England: John Wiley and Sons Ltd.
20. Martinez-Villalpando, E. C., J. Weber, G. Elliott, and H. Herr. 2008. Design of an ago-nist-antagonist active knee prosthesis. Paper read at the second IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 19-22 Oct. 2008.
21. Miller, L. A., R. D. Lipschutz, K. A. Stubblefield, et al. 2008. Control of a six degree of freedom prosthetic arm after targeted muscle reinnervation surgery. Arch Phys Med Rehabil 89 (11):2057-2065.
22. ÖSSUR. The POWER KNEETM. The POWER KNEE ed: http://bionics.ossur.com/Products/POWER-KNEE/SENSE.
23. Palmquist, A., T. Jarmar, L. Emanuelsson, R. Branemark, H. Engqvist, and P. Thomsen. 2008. Forearm bone-anchored amputation prosthesis: a case study on the osseo-integration. Acta Orthop 79 (1):78-85.
24. Pitkin, M. 2008. One lesson from arthroplasty to osseointegration in search for better fixation of in-bone implanted prosthesis. J Rehab Res Dev 45 (4):vii-xiv.
25. Scheme, E., and K. Englehart. 2011. EMG pattern recognition for the control of pow-ered upper limb prostheses: state-of-the-art and challenges for clinical use. J Rehab Res Dev 48 (6):643-659.
26. Simon, A., L. Hargrove, B. A. Lock, and T. A. Kuiken. 2011a. A decision-based veloc-ity ramp for minimizing the effect of misclassifications during real-time pattern recognition control. IEEE Trans Biomed Eng 58 (8):2360-2368.
27. Simon, A., L. Hargrove, B. A. Lock, and T. A. Kuiken. 2011b. Target Achievement Control Test: evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses. J Rehab Res Dev 18 (6):619-628.
28. Simon, A., B. A. Lock, and K. Stubblefield. 2012. Patient training for functional use of pattern recognition-controlled prostheses. J Prosthet Orthot 24 (2):56-64.
29. Sullivan, J., M. Uden, K. P. Robinson, and S. Sooriakumaran. 2003. Rehabiliation of the trans-femoral amputee with an osseointegrated prosthesis: the United Kingdom experience. Prosthet Orthot Int 27 (2):114-120.
30. Sup, F., A. Bohara, and M. Goldfarb. 2008. Design and control of a powered trans-femoral prosthesis. Int J Robot Res 27 (2):263-273.
31. Tkach, D., A. Young, L. H. Smith, and L. Hargrove. 2012. Performance of pat-tern recognition myoelectric control using a generic electrode grid with targeted muscle reinnervation patients. Conf IEEE Eng Med Biol Soc Aug 2012:4319-4323.
32. Tresch, M. C., V. C. K. Cheung, and A. d’Avella. 2006. Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experi-mental data sets. J Neurophysiol 95 (4):2199-2212.
33. Tresch, M. C., P. Saltiel, and E. Bizzi. 1999. The construction of movement by the spi-nal cord. Nat Neurosci 2 (2):162-167.
34. Varol, H. A., F. Sup, and M. Goldfarb. 2010. Multiclass real-time intent recognition of a powered lower limb prosthesis. IEEE Trans Biomed Eng 57 (3):542-551.
35. Weir, R. E. F., P. R. Troyk, G. A. DeMichele, D. A. Kerns, J. F. Schorsch, and H. Maas. 2009. Implantable myoelectric sensors (IMESs) for intramuscular electromyo-gram recording. IEEE Trans Biomed Eng 56 (1):159-171.
36. Williams, D. L., R. D. Bloebaum, J. P. Beck, and C. A. Petti. 2010. Characterization of bacterial isolates collected from a sheep model of osseointegration. Curr Microbiol 61 (6):574-583.
37. Williams, T. W. 2004. Control of powered upper extremity prostheses. In Functional Restoration of Adults and Children with Upper Extremity Amputation, edited by R. H. Meier and D. J. Atkins. New York, NY: Demos Medical Publishing.
38. Young, A., L. Hargrove, and T. A. Kuiken. 2012a. Improving myoelectric pattern rec-ognition robustness to electrode shift by changing interelectrode distance and electrode configuration. IEEE Trans Biomed Eng 59 (3):645-652.
39. Young, A., L. H. Smith, E. Rouse, and L. Hargrove. 2012b. A new hierarchical approach for simultaneous control of multi-joint powered prostheses. Paper read at the fourth IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, June 24-27.
40. Zhou, P., M. M. Lowery, K. B. Englehart, et al. 2007. Decoding a new neural-machine interface for control of artificial limbs. J Neurophysiol 98 (5):2974-2982.
41. Ziegler-Graham, K., E. J. MacKenzie, P. L. Ephraim, T. G. Travison, and R. Brookmeyer. 2008. Estimating the prevalence of limb loss in the United States: 2005 to 2050. Arch Phys Med Rehabil 89 (3):422-429.