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An analytical model to predict the electric field and excitation zones due to magnetic stimulation of peripheral nerves

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Excitation zones; Magnetic stimulation; Peripheral nerves; Reciprocity theorem
List of contributors:
Grandori, Ferdinando; Ravazzani, PAOLO GIUSEPPE
Authors of the University:
RAVAZZANI PAOLO GIUSEPPE
Handle:
https://iris.cnr.it/handle/20.500.14243/221257
Published in:
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Journal
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