Improved Signal Processing Methods for Velocity Selective Neural Recording Using Multi-Electrode Cuffs

@article{AlShueli2014ImprovedSP,
  title={Improved Signal Processing Methods for Velocity Selective Neural Recording Using Multi-Electrode Cuffs},
  author={Assad I. Al-Shueli and Christopher T. Clarke and Nick Donaldson and John Taylor},
  journal={IEEE Transactions on Biomedical Circuits and Systems},
  year={2014},
  volume={8},
  pages={401-410}
}
This paper describes an improved system for obtaining velocity spectral information from electroneurogram recordings using multi-electrode cuffs (MECs). The starting point for this study is some recently published work that considers the limitations of conventional linear signal processing methods (`delay-and-add') with and without additive noise. By contrast to earlier linear methods, the present paper adopts a fundamentally non-linear velocity classification approach based on a type of… CONTINUE READING
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