Action potential classification with dual channel intrafascicular electrodes

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Publication Type Journal Article
School or College College of Engineering
Department Bioengineering
Creator Horch, Kenneth W.
Other Author McNaughton, T. G.
Title Action potential classification with dual channel intrafascicular electrodes
Date 1994
Description 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.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 41
Issue 7
Subject Carbon fiber intrafascicular electrodes; Dual channel recording
Subject LCSH Neural networks (Neurobiology); Nerves, Peripheral
Language eng
Bibliographic Citation McNaughton, T. G. & Horch, K. W. (1994). Action potential classification with dual channel intrafascicular electrodes. IEEE Transcations on Biomedical Engineering, 41(7).
Rights Management (c) Institute of Electrical and Electronics Engineers (IEEE)
Format Medium application/pdf
Format Extent 947,802 Bytes
Identifier ir-main,3847
ARK ark:/87278/s6988rjc
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2012-06-13
ID 706295
Reference URL https://collections.lib.utah.edu/ark:/87278/s6988rjc
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