Estimation of Conduction Velocity Distribution by Regularized-Least-Squares Method

Does the conduction velocity distribution change along the nerve?

“…To estimate the CVD from CAPs, we have adopted a standard set of assumption as usually done by the others [10,[15][16][17] to underline the waveform for SFAP and the propagation velocity characteristics of the fiber population. The model waveform represented by Eq.…”

Separation of propagating and non propagating components in surface EMG

“…The choice of the regularisation parameter g should consider the trade-off between the degree of regularity of the solution and its fit to the data, reflecting an approximation error and a data noise error [17]. We propose a technique to choose the penalisation parameter which was fit on the simulated signals.…”

Estimation of the nerve conduction velocity distribution using partial bicepstral information

“…A procedure that is commonly used in nerve conduction studies is to stimulate by a supramaximal stimulus the nerve trunk and then record, at two different sites, the evoked CAP's [2][3][4][5][6][7]. Each CAP represents the superposition of all nerve fibers potentials and can be expressed, according to Hirose et al [4], as the convolution of a latency distribution and the single fiber action potential (SFAP) waveform.…”

“…The question of estimating both SFAP and delay sequence (DS) from the recorded CAP's is a blind deconvolution problem [2][3][4][5][6][7]. Non-negative-least-squares (NNLS) and regularized-least-squares (RLS) [7] are some of the methods found in recent literature.…”

“…Non-negative-least-squares (NNLS) and regularized-least-squares (RLS) [7] are some of the methods found in recent literature. Most of them give satisfactory results for the estimation of SFAP waveshape and of the part of DCV concerning the fast nerve fibers, in noiseless cases [5].…”