Estimation of conduction velocity distribution by regularized-least-squares method

Y. X. Tu, A. Wernsdörfer, S. Honda, Y. Tomita

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

A novel technique for estimating the distribution of the conduction velocity of peripheral nerve fibers is described in this paper. In order to overcome the sensitivity of present methods to noisy data, a regularized-least-squares (RLS) method with a smoothing constraint and a self-adaption of regularization parameter was adopted. The simulation results demonstrated that the improved technique maybe applied in clinical diagnosis because it yielded reliable and almost undistorted results even when the simulated data are severely contaminated by noise.

Original languageEnglish
Pages (from-to)1102-1106
Number of pages5
JournalIEEE Transactions on Biomedical Engineering
Volume44
Issue number11
DOIs
Publication statusPublished - 1997 Dec 1

Keywords

  • Conduction velocity distribution in nerve trunk
  • Iterative blind deconvolution
  • L-curve criterion
  • Noise suppression
  • Regularized-least-squares method with smoothness constraint
  • Wiener filter

ASJC Scopus subject areas

  • Biomedical Engineering

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