Setting Adaptive Spike Detection Threshold for Smoothed TEO Based on Robust Statistics Theory

@article{Semmaoui2012SettingAS,
  title={Setting Adaptive Spike Detection Threshold for Smoothed TEO Based on Robust Statistics Theory},
  author={Hicham Semmaoui and Jonathan Drolet and Ahmed Lakhssassi and Mohamad Sawan},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2012},
  volume={59},
  pages={474-482}
}
We propose a novel approach aimed at adaptively setting the threshold of the smoothed Teager energy operator (STEO) detector to be used in extracellular recording of neural signals. In this proposed approach, to set the adaptive threshold of the STEO detector, we derive the relationship between the low-order statistics of its input signal and the ones of its output signal. This relationship is determined with only the background noise component assumed to be present at the input. Robust… CONTINUE READING
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