Estimation of Conduction Velocity Distribution of Nerve Fibres Based on Inverse Problem Formalism in Electroneurography

Abstract

In the literature, it has been shown that the severity of Carpal Tunnel Syndrome (CTS) and other peripheral neuropathies depend on the condition of both slow and fast conducting fibres present in a nerve. In this context, it has become important to estimate the conduction velocity distribution (CVD) of both slow and fast fibres. In the proposed paper, compound nerve action potentials (CNAPs) are simulated and two different approaches that are based on the inverse problem formalism are used for estimating the CVD of nerve fibres. The first approach is concerned with the estimation of CVD of fast conducting fibres and the second approach is concerned with the estimation of CVD of slow conducting fibres. The performance of the CVD estimator is measured at different signal to noise ratios (SNRs) when random noises are added to the CNAPs.