Simulation study on the effect of fiber loss to the compound action potential of a sural nerve

Takehito Hayami, Keiji Iramina, Xian Chen, Kenji Sunagawa

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

1 Citation (Scopus)

Abstract

This paper reports the result of computer simulation about compound action potential of a sural nerve with and without fiber loss. A compound action potential is a wave of electric potential detectable on the skin after electric stimulation of a peripheral nerve. The loss of nerve fibers, which is observed in some neuropathies, is considered as the cause of low amplitude and slow conduction of the wave. To quantify the relationship between fiber loss and compound action potential, computer simulation of the stimulation of a human sural nerve was executed. As a result, the conduction velocity of the first negative peak of the compound action potential was substantially reduced in case of thick fiber loss, and was slightly enlarged in case of thin fiber loss. However the amplitude of the peak was not always reduced. The effect of thin fiber loss was observed in the amplitude of the second positive peak and the second negative peak.

Original languageEnglish
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages2396-2399
Number of pages4
DOIs
Publication statusPublished - Dec 1 2007
Externally publishedYes
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period8/23/078/26/07

ASJC Scopus subject areas

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

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