A low-cost reliable online noise level estimation for accurate spike detection in extracellular recordings

N. Sertac Artan, Xiaoxiang Xu, H. Jonathan Chao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

On-line unsupervised spike detection is a fundamental building block for autonomous neural implants. To accurately monitor neurological activity, the spike detectors should be able to operate at a wide range of firing rates. This can only be achieved by a careful estimation of instantaneous noise level in the recording. In this paper, we propose a system for estimating noise level in extracellular recordings, which is reliable across a wide range of firing rates, and thus leads to accurate spike detection.

Original languageEnglish (US)
Title of host publication2012 IEEE Biomedical Circuits and Systems Conference
Subtitle of host publicationIntelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications
Pages216-219
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Hsinchu, Taiwan, Province of China
Duration: Nov 28 2012Nov 30 2012

Publication series

Name2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications

Other

Other2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012
Country/TerritoryTaiwan, Province of China
CityHsinchu
Period11/28/1211/30/12

ASJC Scopus subject areas

  • Hardware and Architecture
  • Biomedical Engineering

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