Action potential detection with automatic template matching

S. Kim, J. McNames, K. Burchiel

Research output: Contribution to journalConference article

10 Scopus citations

Abstract

Detecting action potentials has an important role in analyzing extracellular neuronal recordings. Current algorithms require subjective tuning by a user in the form of user-specified parameters. This paper describes a fully automatic template-matching spike detection algorithm that does not require any tuning. This algorithm is robust to noise and performs better than an optimum threshold detection algorithm.

Original languageEnglish (US)
Pages (from-to)41-44
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 I
StatePublished - Dec 1 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Keywords

  • Action potential
  • Globus pallidus internus (GPi)
  • Microelectrode recording (MER)
  • Stereotactic deep brain stimulation (DBS) surgery
  • Subthalamus nucleus (STN)

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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