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Spike detection for integrated circuits: Comparative study

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Transmission of large amount of data generated by sequential scanning of high density microelectrode arrays is a challenge. Detecting and transmitting only relevant data i.e. spikes and rejecting the noise reduces data bandwidth. In this paper, we discuss and evaluate CMOS implementable spike detection methods for low-power high-density electrode arrays used in neurophysiology. Neural data is simulated, spikes pre-emphasized and detection using comparator carried out. Our evaluation of a method is based on robustness of the algorithm, compactness of the circuit.

Original languageEnglish
Title of host publication26th Southern Biomedical Engineering Conference SBEC 2010
Pages282-285
Number of pages4
DOIs
StatePublished - 2010
Event26th Southern Biomedical Engineering Conference, SBEC 2010 - College Park, MD, United States
Duration: Apr 30 2010 → May 2 2010

Publication series

NameIFMBE Proceedings
Volume32 IFMBE
ISSN (Print)1680-0737

Conference

Conference26th Southern Biomedical Engineering Conference, SBEC 2010
Country/TerritoryUnited States
CityCollege Park, MD
Period04/30/10 → 05/2/10

Keywords

  • bandwidth reduction
  • CMOS
  • MATLAB
  • noise
  • Spike detection

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