Decoding Intra-Limb and Inter-Limb Kinematics During Treadmill Walking From Scalp Electroencephalographic (EEG) Signals

@article{Presacco2012DecodingIA,
  title={Decoding Intra-Limb and Inter-Limb Kinematics During Treadmill Walking From Scalp Electroencephalographic (EEG) Signals},
  author={Alessandro Presacco and Larry W. Forrester and Jos{\'e} Luis Contreras-Vidal},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2012},
  volume={20},
  pages={212-219}
}
Brain-machine interface (BMI) research has largely been focused on the upper limb. Although restoration of gait function has been a long-standing focus of rehabilitation research, surprisingly very little has been done to decode the cortical neural networks involved in the guidance and control of bipedal locomotion. A notable exception is the work by Nicolelis' group at Duke University that decoded gait kinematics from chronic recordings from ensembles of neurons in primary sensorimotor areas… CONTINUE READING
Highly Cited
This paper has 77 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS
43 Citations
32 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 43 extracted citations

77 Citations

01020'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 77 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…