Myoelectric Control Development Toolbox

@inproceedings{Chan2007MyoelectricCD,
  title={Myoelectric Control Development Toolbox},
  author={A. D. C. Chan and Geoffrey C. Green},
  year={2007}
}
Surface myoelectric signals (MES) can be used as effective input for the control of upper arm prostheses. The concept of myoelectric control was introduced in the 1940’s [1]. Initially, amplitude measures were used to parameterize the MES, but simple approach imposed a practical limit of a three state system for each MES control site (e.g. rest, hand open, and hand close) [2]; therefore, to implement a multifunctional prosthetic control system, additional MES control sites were required. Graupe… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES

M

K. Englehart, B. Hudgins, P. A. Parker
  • Stevenson, “Classification of the Myoelectric Signal using Time-Frequency Based Representations,” Med. Eng. Phys., Special Issue: Intelligent Data Analysis in Electromyography and Electroneurography, vol. 21, pp. 431-438
  • 1999
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Fuzzy EMG classification for prosthesis control.

  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
VIEW 1 EXCERPT

A new strategy for multifunction myoelectric control

  • IEEE Transactions on Biomedical Engineering
  • 1993
VIEW 1 EXCERPT

Classification of the Myoelectric Signal using Time - Frequency Based Representations

B. Hudgins K. Englehart, P. A. Parker, M. Stevenson
  • Med . Eng . Phys . , Special Issue : Intelligent Data Analysis in Electromyography and Electroneurography
  • 1993