Optimizing the automatic selection of spike detection thresholds using a multiple of the noise level

@article{Rizk2009OptimizingTA,
  title={Optimizing the automatic selection of spike detection thresholds using a multiple of the noise level},
  author={Michael Rizk and Patrick D. Wolf},
  journal={Medical & Biological Engineering & Computing},
  year={2009},
  volume={47},
  pages={955-966}
}
Thresholding is an often-used method of spike detection for implantable neural signal processors due to its computational simplicity. A means for automatically selecting the threshold is desirable, especially for high channel count data acquisition systems. Estimating the noise level and setting the threshold to a multiple of this level is a computationally simple means of automatically selecting a threshold. We present an analysis of this method as it is commonly applied to neural waveforms… CONTINUE READING
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