Design principles for noninvasive brain-machine interfaces

@article{ContrerasVidal2011DesignPF,
  title={Design principles for noninvasive brain-machine interfaces},
  author={Jos{\'e} Luis Contreras-Vidal and Trent J. Bradberry},
  journal={2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2011},
  pages={4223-4226}
}
With the advent of sophisticated prosthetic limbs, the challenge is now to develop and demonstrate optimal closed-loop control of the these limbs using neural measurements from single/multiple unit activity (SUA/MUA), electrocorticography (ECoG), local field potentials (LFP), scalp electroencephalography (EEG) or even electromyography (EMG) after targeted muscle reinnervation (TMR) in subjects with upper limb disarticulation. In this paper we propose design principles for developing a… CONTINUE READING

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References

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Showing 1-10 of 26 references

Reconstructing hand kinematics during reach to grasp movements from electroencephalographic signals

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society • 2011
View 2 Excerpts

Movement decoding from noninvasive neural signals

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology • 2010

Quantifying Pattern Recognition—Based Myoelectric Control of Multifunctional Transradial Prostheses

IEEE Transactions on Neural Systems and Rehabilitation Engineering • 2010
View 1 Excerpt

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