Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
A method for determining the functional topography of a peripheral nerve ( 10 ) of a user comprising the steps of prearranging an electrode ( 100 ) comprising a number n of channels c i , with i = 1,2..., n, arranging the electrode (100) in such a way that each channel is in contact with the peripheral nerve (10) at a respective contact point p i , with i = 1,2..., n, generating a model of a cross section S of the peripheral nerve ( 10 ) where the area A of the cross section S comprises a number m of areas α j , with j = 1,2,..., m, computing a lead field matrix L = [R j,i ], wherein R j,i is a value that describes the electrostatic relationship between an area α j and a contact point p i of the cross section S, periodic acquisition, by the electrode (100), of a number n of voltage values V ki at instants t k , with k = 1,2,...,S, obtaining a voltage matrix V = [V k,i ], with i = 1,2,...,n, where V ki is the voltage value determined by the channel c i at the contact point p i at the instant t k , periodic acquisition, by at least one medical device, of a number r of values of physiological signals P k,h of the user at instants t k , with k = 1,2,..., s, obtaining a matrix of the physiological signals P = [P k,h ], with h. = 1,2,...,r, where P k k is the value of the h-th physiological signal determined at the instant t k , computing a discrimination matrix = D = [d h,i ], D being function of the matrices V = [V k,i ] and P = [P k,h ], where d h,i is the discrimination coefficient which represents the correlation between the h-th physiological signal P k,h and the i-th voltage value V k,i referred to a same instant t k , computing a spatial filtering matrix Φ DBF = [φ h,j ], φ h,j being the localization index which represents the correlation between the h-th physiological signal and the area α j of said cross section S, generating a functional topography of said peripheral nerve (10), for each h-th physiological signal, wherein each area α j is graphically identified as a function of the corresponding value φ h,j associated with it by the spatial filtering matrix Φ DBF .