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

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Excitation zones; Magnetic stimulation; Peripheral nerves; Reciprocity theorem
Elenco autori:
Grandori, Ferdinando; Ravazzani, PAOLO GIUSEPPE
Autori di Ateneo:
RAVAZZANI PAOLO GIUSEPPE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/221257
Pubblicato in:
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Journal
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