The main unknown factor in understanding magnetic stimulation of peripheral nerves is the distribution of the induced electric field. We have applied the so-called reciprocity theorem and developed an analytical model to compute the electric field and its spatial derivatives inside pseudocylindrical structures. The results can be used to predict the site of excitation in magnetic stimulation of peripheral nerves. The main unknown factor in understanding magnetic stimulation of peripheral nerves is the distribution of the induced electric field. We have applied the so-called reciprocity theorem and developed an analytical model to compute the electric field and its spatial derivatives inside pseudocylindrical structures. The results can be used to predict the site of excitation in magnetic stimulation of peripheral nerves.
An analytical model to predict the electric field and excitation zones due to magnetic stimulation of peripheral nerves
Ravazzani P;Grandori;
1995
Abstract
The main unknown factor in understanding magnetic stimulation of peripheral nerves is the distribution of the induced electric field. We have applied the so-called reciprocity theorem and developed an analytical model to compute the electric field and its spatial derivatives inside pseudocylindrical structures. The results can be used to predict the site of excitation in magnetic stimulation of peripheral nerves. The main unknown factor in understanding magnetic stimulation of peripheral nerves is the distribution of the induced electric field. We have applied the so-called reciprocity theorem and developed an analytical model to compute the electric field and its spatial derivatives inside pseudocylindrical structures. The results can be used to predict the site of excitation in magnetic stimulation of peripheral nerves.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
