Estimation of the conduction velocity distribution of human sensory nerve fibers

Morita, Gizin; Tu, Yaqing; Okajima, Yasutomo; Honda, Satoshi; Tsutsumi, Yutaka

doi:10.1016/s1050-6411(01)00029-3

Cited by 22 publications

(15 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The studies presented by Tu et al and Morita et al focused on a regularized least squares algorithm but feature many of the same assumptions associated with waveform commonality related to velocity classes that were made in earlier work [10], [11]. This study also investigated the impact of recording noise on the integrity of the estimated CVD.…”

Section: Introductionmentioning

confidence: 97%

A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

Szlavik

2008

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

Abstract-The ability to determine the characteristics of peripheral nerve fiber size distributions would provide additional information to clini cians for the diagnosis of specific pathologies of the peripheral nervous sys tem. Investigation of these conditions, using electrodiagnostic techniques, is advantageous in the sense that such techniques tend to be minimally invasive yet provide valuable diagnostic information. One of the principal electrodiagnostic tools available to the clinician is the nerve conduction ve locity test. While the peripheral nerve conduction velocity test can provide useful information to the clinician regarding the viability of the nerve under study, it is a single-parameter test that yields no detailed information about the characteristics of the functioning nerve fibers within the nerve trunk. In this study, we present a technique based on decomposition of the maximal compound evoked potential and subsequent determination of the group delay of the contributing nerve fibers. The fiber group delay is then utilized as an initial estimation of the nerve fiber size distribution and the associ ated temporal propagation delays of the single-fiber-evoked potentials to a reference electrode. Simulation studies, based on deterministic single-fiber action potential functions, are used to demonstrate the robustness of the proposed technique in the presence of simulated noise associated with the recording process.Index Terms-Conduction velocity distribution (CVD), group delay, nerve fiber size distribution.

show abstract

Section: Introductionmentioning

confidence: 97%

A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

Szlavik

2008

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

show abstract

“…CAP is affected by different factors such as drugs, disease and injury. As a result, for the functional investigation of nerves in situ, the CAP has widespread application in basic research and, in particular, for the assessment of neuromuscular disease [1], [3], [4], [6]. An analysis of the CAP can reveal the population size of active fibers, the distribution of their diameters, and in case of injury or disease, it can be used to estimate the level of damage in the fiber population.…”

Section: Introductionmentioning

confidence: 99%

A gradient optimization approach for the determination of diameter distribution of nerve fibers from compound action potential data

Kaghazchi

Ün

2013

2013 International Conference on Electronics, Computer and Computation (ICECCO)

View full text Add to dashboard Cite

Major nerves are made of large numbers of nerve fibers. When a signal is initiated in the nerve, it is transmitted along each fiber via an action potential (called single fiber action potential (SFAP)) which travels with a velocity that is related with the diameter of the fiber and whether the fiber is covered with a myelin sheath or not. The additive superposition of SFAPs constitutes the compound action potential (CAP) of the nerve. The fiber diameter distribution (FDD) in the nerve can be computed from the CAP data through an inverse problem. The common practice is to obtain a histogram for FDD using convolution. However, number of fibers in a nerve can be measured sometimes in thousands and it is possible to assume a continuous distribution for the fiber diameters, which is the approach we have taken in this work. Utilizing an analytical function for SFAP and assumed functional form for FDD, the inverse problem is formulated as a gradient optimization problem in order to determine the FDD that will result to the considered CAP. We have observed that an 8 th order polynomial can capture almost all fiber distributions present in vivo.

show abstract

“…Our model depends on the standard set of assumptions that are generally accepted, which can be summarized as: (i) CAP can be represented as a linear superposition of its constituent single fiber action potentials (SFAPs) that individual nerve fibers conduct action potentials independently and constantly, and (ii) all fibers contributing to the CAP are activated simultaneously and instantaneously upon electrical stimulation [3,[6][7][8]. The procedure we have followed for the estimation of CVD depends on the model involving a priori knowledge about SFAPs and one CAP recording [9].…”

Section: Introductionmentioning

confidence: 99%

Does the conduction velocity distribution change along the nerve?

Pehlivan

Dalkılıç

Kızıltan

2004

Medical Engineering & Physics

View full text Add to dashboard Cite

Estimation of the conduction velocity distribution of human sensory nerve fibers

Cited by 22 publications

References 18 publications

A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

A gradient optimization approach for the determination of diameter distribution of nerve fibers from compound action potential data

Does the conduction velocity distribution change along the nerve?

Contact Info

Product

Resources

About