Algorithm for generating templates of neural waveforms

Isaac N. Bankman, Rishi Chandra

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

Abstract

Template matching has been shown to be an effective approach for sorting the action potentials of different neurons in extracellular recordings. In an on-line application, templates have to be generated automatically. We present an algorithm that can simultaneously crop waveforms in a continual stream of digitized samples with minimal jitter and cluster waveforms of the same type of generate a template for each type.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages444-445
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - 1993
Externally publishedYes
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period10/28/9310/31/93

ASJC Scopus subject areas

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

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