Deconvolution estimation of nerve conduction velocity distribution

Gonzalez-Cueto, J.A.; Parker, P.A.

doi:10.1109/10.979353

Cited by 16 publications

(13 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recently there have been several additional studies including the work of Gonzalez-Cueto, Papadopoulou and Gu [7][8][9]. The study presented by Tu et.…”

Section: Introductionmentioning

confidence: 94%

A novel method for characterization of peripheral nerve fiber size distributions by group delay measurements and simulated annealing optimization

Szlavik

Turner

2008

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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 clinicians for the diagnosis of specific pathologies of the peripheral nervous system. Investigation of these conditions, using electro-diagnostic techniques, is advantageous in the sense that such techniques tend to be minimally invasive yet provide valuable diagnostic information. One of the principal electro-diagnostic tools available to the clinician is the nerve conduction velocity 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 a 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 concomitant temporal propagation delays of the associated single fiber evoked potentials to a reference electrode. Subsequently the estimated single fiber evoked potentials are optimized against the template maximal compound evoked potential using a simulated annealing algorithm. Simulation studies, based on deterministic single fiber action potential functions, are used to demonstrate the robustness of the proposed technique in the presence of noise associated with variations in distance between the nerve fibers and the recording electrodes between the two recording sites.

show abstract

“…More recently there have been several additional studies including the work of Gonzalez-Cueto, Papadopoulou and Gu [7][8][9]. The study presented by Tu et.…”

Section: Introductionmentioning

confidence: 94%

A novel method for characterization of peripheral nerve fiber size distributions by group delay measurements and simulated annealing optimization

Szlavik

Turner

2008

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

show abstract

“…More recently, there have been several additional studies including the work of Gonzalez-Cueto and Parker [7], Papadopoulou (2 ) (t) to the maximal compound evoked potentials Ψ (1) (t) and Ψ (2) (t). The figure is not drawn to scale and is indicative of stimulation and recording sites at convenient locations along the median nerve.…”

Section: Introductionmentioning

confidence: 99%

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

“…The technique used by the authors is a deconvolution approach based on volume conductor modeling of the surface EMG interference pattern [2]. It makes use of two correlation functions computed from the surface EMG data recorded at the skin surface with a bipolar configuration.…”

Section: Methodsmentioning

confidence: 99%

“…Two representations of the CVD estimate are shown on both figures in correspondence with columns 3 & 4 of Table 1. It has been shown that the smoothed or lowpass filtered estimate help decrease the variance of the estimation [2]. It can also be appreciated that the estimator error is smaller when the filtered estimate is used.…”

Section: Simulationsmentioning

confidence: 99%

See 1 more Smart Citation

On the experimental results of a noninvasive estimation technique of muscle conduction velocity distribution

Gonzalez-Cueto

Parker

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Self Cite

View full text Add to dashboard Cite

-This paper is intended to present an assessment of the experimental results of a previously proposed muscle conduction velocity distribution (CVD) estimator. The performance of the proposed technique was seriously deteriorated when applied to experimental data. The causes for this decline were evaluated by introducing real-world errors in the model parameters and looking at how sensitive the estimator is to these. The simulation results show the high sensitivity of the estimator to parameter errors. The similitude found between the simulation results and the CVD estimates obtained on experimental data helped confirm this observation as well. Given the sensitivity observed the proposed technique is not practical for muscle dimensions such as those found in the biceps brachii. Keywords -Conduction, propagation, velocity, CVD, EMG, noninvasive, estimation. I. INTRODUCTIONNoninvasive techniques for the estimation of conduction velocity distribution (CVD) on human muscles can lead to new possibilities for clinical assessment of muscular pathologies. Efforts are currently directed to the development of such tools [1] [2]. However due to the constraints imposed by the low frequency content of the electromyographic (EMG) signal together with physiological issues related to muscle geometry this task is a challenging one. This is true particularly when the aim is to characterize a representative part of the muscle motor unit population through a CVD estimate. II. METHODThe technique used by the authors is a deconvolution approach based on volume conductor modeling of the surface EMG interference pattern [2]. It makes use of two correlation functions computed from the surface EMG data recorded at the skin surface with a bipolar configuration. A volume conductor model of the signal that depends on different parameters is built into the estimator. Some of these parameters such as interelectrode spacing, which is a rather accurate quantity, are determined by the recording configuration. However, other parameters such as 1. Location of the recording electrodes with respect to the innervation zone, and 2. Muscle geometry and thickness of the fat layer under each recording channel, are not known with certainty.The setup shown in Figure 1 was used for experiments and simulations. Two bipolar channels spaced by a distance dch were aligned in the direction of the muscle fibers. As part of the tests implemented through simulations, the distance from the recording electrode arrangement to the middle of the innervation zone was underestimated by 5, 10 and 20mm during the CVD estimation. The power of the signals recorded from channels X & Y can also differ from that expected according to the assumption made on model parameters mentioned in point 2. These differences in channel powers convey differences in the relative amplitudes of the MES auto and cross correlation functions R XX and R XY , respectively. The effect that this has on the estimator performance was evaluated by upsetting the auto-to-cross amplitude ratio of the ...

show abstract

Deconvolution estimation of nerve conduction velocity distribution

Cited by 16 publications

References 23 publications

A novel method for characterization of peripheral nerve fiber size distributions by group delay measurements and simulated annealing optimization

A novel method for characterization of peripheral nerve fiber size distributions by group delay measurements and simulated annealing optimization

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

On the experimental results of a noninvasive estimation technique of muscle conduction velocity distribution

Contact Info

Product

Resources

About