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Cited by 651

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Myoelectric signal processing for control of powered limb prostheses

Parker, P., Englehart, K., Hudgins, B.·2006·Journal of Electromyography and Kinesiology
DOI 10.1016/j.jelekin.2006.08.006
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Research works printed but not linked: 33

  1. Almstrom, 1981, Experience with Swedish multifunction prosthetic hands controlled by pattern recognition of multiple myoelectric signals, Int Orthop, 5, 15, 10.1007/BF00286094 · DOI
  2. Battye, 1955, The use of myo-electric current in the operation of prostheses, J Bone Joint Surg B, 37, 506, 10.1302/0301-620X.37B3.506 · DOI
  3. Berger, 1952, The use of electrical and mechanical forces for control of an electric prosthesis, Am J Occup Ther, 6, 110
  4. Bottomley, 1965, Myoelectric control of powered prostheses, J Bone Joint Surg B, 47, 411, 10.1302/0301-620X.47B3.411 · DOI
  5. Chan, 2005, Continuous control of powered prostheses using hidden Markov models, IEEE Trans Biomed Eng, 52, 121, 10.1109/TBME.2004.836492 · DOI · Paper page
  6. Childress DS. A myoelectric three-state controller using rate sensitivity. In: Proceedings of the 8th ACEMB conference. Chicago; 1969. p. 4–5.
  7. Davidge K, Englehart K, Parker P. In: Proceedings of the XVth ISEK conference. Boston; 2004. p. 59.
  8. Doershuk, 1983, Upper extremity limb function discrimination using EMG signal analysis, IEEE Trans Biomed Eng, 30, 18, 10.1109/TBME.1983.325162 · DOI · Paper page
  9. Dorcas, 1966, A three-state myoelectric controller, Med Biol Eng, 4, 367, 10.1007/BF02476154 · DOI
  10. Englehart, 1999, Classification of the myoelectric signal using time-frequency based representations, Med Eng Phys, 21, 431, 10.1016/S1350-4533(99)00066-1 · DOI · Paper page
  11. Englehart, 2001, A wavelet based continuous classification scheme for multifunction myoelectric control, IEEE Trans Biomed Eng, 48, 302, 10.1109/10.914793 · DOI · Paper page
  12. Finley, 1967, Myocoder studies of multiple myocoder response, Arch Phys Med Rehabil, 48, 598
  13. Herberts, 1969, Myoelectric signals in control of prostheses, Acta Orthop Scand, 40, 83
  14. Hogan, 1980, Myoelectric signal processing: optimal estimation applied to electromyography-Part 1: derivation of the optimal myoprocessor, IEEE Trans Biomed Eng, 27, 382, 10.1109/TBME.1980.326652 · DOI
  15. Hudgins, 1993, A new strategy for multifunction myoelectric control, IEEE Trans Biomed Eng, 40, 82, 10.1109/10.204774 · DOI · Paper page
  16. Hudgins, 1994, A pattern recognition approach to multifunction myoelectric control, Med Life Sci Eng, 13, 21
  17. Hudgins B, Englehart K, Parker PA, Scott RN. A microprocessor-based multifunction myoelectric control system. In: Proceedings of the 23rd Canadian medical and biological engineering society conference. Toronto; 1997. p. 138–9.
  18. Jacobsen SC, Mann RW. Control systems for artificial arms. In: IEEE conference on systems, man and cybernetics. Boston; 1973. p. 5–7.
  19. Kato, 1967, The electrically controlled hand prosthesis using command disc or EMG, J Soc Inst Control Eng, 6, 236
  20. Kobrinski, 1960, Bioelectric control of prosthetic devices, Herald USSR Acad Sci, 30, 58
  21. Kuruganti, 1995, Two-channel enhancement of a multifunction control scheme, IEEE Trans Biomed Eng, 4, 109, 10.1109/10.362912 · DOI
  22. Lock B, Englehart K, Hudgins B. Real-time myoelectric control in a virtual environment to relate usability vs. accuracy. In: Proceedings of MEC’05 conference 2005; UNB. p. 122–6.
  23. Lyman, 1976, Fundamentals and applied research related to the design and development of upper-limb externally powered prostheses, Bull Prosthet Res, 13, 184
  24. Miller L, Lipschutz R, Stubblefield K, Kuiken T. Fitting and outcome of a bilateral shoulder disarticulation amputee following targeted hyper-reinnervation nerve transfer surgery. In: Proceedings of MEC, UNB; 2005. p. 11–4.
  25. Paciga, 1980, Error rate in five-state myoelectric control systems, Med Biol Eng, 18, 287, 10.1007/BF02443381 · DOI
  26. Parker, 1986, Myoelectric control of prostheses, CRC Crit Rev Biomed Eng, 13, 283
  27. Parker, 1977, Signal processing for the multistate myoelectric channel, Proc IEEE, 65, 662, 10.1109/PROC.1977.10545 · DOI
  28. Reiter, 1948, Eine neu elecktrokunstand, Grenzgeb Med, 1, 133
  29. Richard, 1983, Multistate myoelectric control: the feasibility of 5-state control, J Rehabil Res Dev, 20, 84
  30. Saridis, 1982, EMG pattern analysis and classification for a prosthetic arm, IEEE Trans Biomed Eng, 2, 403, 10.1109/TBME.1982.324954 · DOI
  31. Schmidl, 1977, The I.N.A.I.L. experience fitting upper-limb dysmelia patients with myoelectric control, Bull Prosthet Res, 10, 17
  32. Scott, 1988, Myoelectric prostheses: state of the art, J Med Eng Technol, 12, 143, 10.3109/03091908809030173 · DOI
  33. Weir R, Troyk P, DeMichele G, Lowery M, Kuiken T. Implantable myoelectric sensors (IMES). In: Proceedings of the MEC’05 conference, UNB; 2005. p. 93–7.

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Metadata

Authors
Parker, P., Englehart, K., & Hudgins, B.
Venue
Journal of Electromyography and Kinesiology
Publisher
Elsevier BV
Published
2006-12
Volume
16
Issue
6
Pages
541-548
ISSN
1050-6411 (ISSN-L)
DOI
10.1016/j.jelekin.2006.08.006
OpenAlex
W2156654664
Cited by
651
References
2
FWCI
8.78
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Myoelectric signal processing for control of powered limb prostheses. https://app.cochat.ai/papers/10.1016/j.jelekin.2006.08.006
The paper
Parker, P., Englehart, K., & Hudgins, B. (2006). Myoelectric signal processing for control of powered limb prostheses. Journal of Electromyography and Kinesiology. https://doi.org/10.1016/j.jelekin.2006.08.006

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.