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

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

doi:10.1109/10.641337

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

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

Research output: Contribution to journal › Article › peer-review

26 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 language	English
Pages (from-to)	1102-1106
Number of pages	5
Journal	IEEE Transactions on Biomedical Engineering
Volume	44
Issue number	11
DOIs	https://doi.org/10.1109/10.641337
Publication status	Published - 1997
Externally published	Yes

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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10.1109/10.641337

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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.",

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AU - Honda, S.

AU - Tomita, Y.

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AB - 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.

KW - Conduction velocity distribution in nerve trunk

KW - Iterative blind deconvolution

KW - L-curve criterion

KW - Noise suppression

KW - Regularized-least-squares method with smoothness constraint

KW - Wiener filter

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

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

Abstract

Keywords

ASJC Scopus subject areas

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