One of the major challenges of microsurgery is nerve regeneration across the lesion. In this respect it is very important to assess when a peripheral nerve is reconstructed and how much of its initial functionality has been restored. Different methods are available for this purpose: function tests, histological techniques, neurophysiologic tests. The present paper addresses magnetoneurography (MNG), a neurophysiology test which is very suitable because of its high sensitivity features. The aim of this study is to prepare an object oriented Matlab tool to treat in a common way MNG signals deriving from various experiments and to prepare them for the application of some classification methods (like cluster analysis and artificial neural networks). The main aspects of this tool are presented in this paper.
A matlab interface for an easy management of nmg signals
GIACOMINI, MAURO;RUGGIERO, CARMELINA
2004-01-01
Abstract
One of the major challenges of microsurgery is nerve regeneration across the lesion. In this respect it is very important to assess when a peripheral nerve is reconstructed and how much of its initial functionality has been restored. Different methods are available for this purpose: function tests, histological techniques, neurophysiologic tests. The present paper addresses magnetoneurography (MNG), a neurophysiology test which is very suitable because of its high sensitivity features. The aim of this study is to prepare an object oriented Matlab tool to treat in a common way MNG signals deriving from various experiments and to prepare them for the application of some classification methods (like cluster analysis and artificial neural networks). The main aspects of this tool are presented in this paper.
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