Action Potential Classification with Dual Channel Intrafascicular Electrodes Article

McNaughton, TG, Horch, KW. (1994). Action Potential Classification with Dual Channel Intrafascicular Electrodes . IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 41(7), 609-616. 10.1109/10.301727

cited authors

  • McNaughton, TG; Horch, KW

authors

abstract

  • Using recordings of peripheral nerve activity made with carbon fiber intrafascicular electrodes, we compared the performance of three different recording techniques (single channel, differential, and dual channel) and four different unit classification methods (linear discriminant analysis, template matching, a novel time amplitude windowing technique, and neural networks) in terms of errors in waveform classification and artifact rejection. Dual channel recording provided uniformly superior unit separability, neural networks gave the lowest classification error rates, and template matching had the best artifact rejection performance. © 1994 IEEE

publication date

  • January 1, 1994

published in

Digital Object Identifier (DOI)

start page

  • 609

end page

  • 616

volume

  • 41

issue

  • 7