1/f neural noise reduction and spike feature extraction using a subset of informative samples

Zhi Yang, Linh Hoang, Qi Zhao, Edward Keefer, Wentai Liu

Research output: Contribution to journalArticle

4 Scopus citations


This article describes a study on neural noise and neural signal feature extraction, targeting real-time spike sorting with miniaturized microchip implementation. Neuronal signature, noise shaping, and adaptive bandpass filtering are reported as the techniques to enhance the signal-to-noise ratio (SNR). A subset of informative samples of the waveforms is extracted as features for classification. Quantitative and comparative experiments with both synthesized and animal data are included to evaluate different feature extraction approaches. In addition, a preliminary hardware implementation has been realized using an integrated circuit.

Original languageEnglish (US)
Pages (from-to)1264-1277
Number of pages14
JournalAnnals of Biomedical Engineering
Issue number4
StatePublished - Apr 1 2011



  • Action potential
  • Clustering
  • Spike feature extraction
  • Spike sorting

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