Szczegóły publikacji
Opis bibliograficzny
Simple hierarchical models of the Transcranial Magnetic Stimulation / Daniel Ioan, Ruxandra Bărbulescu, Jean Ciurea, Gabriela Ciuprina, Przemysław SYREK // W: 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE) [Dokument elektroniczny] : March 23-25 2017, Bucharest, Romania. — Wersja do Windows. — Dane tekstowe. — [Piscataway : IEEE], [2017]. — e-ISBN: 978-1-5090-5160-1. — S. 398–403. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 403, Abstr.
Autorzy (5)
- Ioan Daniel
- Bărbulescu Ruxandra
- Ciurea Jean
- Ciuprina Gabriela
- AGHSyrek Przemysław
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 105590 |
|---|---|
| Data dodania do BaDAP | 2017-06-06 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ATEE.2017.7905129 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | 10th International Symposium on Advanced Topics in Electrical Engineering |
Abstract
This paper proposes simple models of high computational efficiency for Transcranial Magnetic Stimulation (TMS). Since the magnetic field is produced by currents of low frequency, the physical model is based on a unidirectional coupling between a Magneto-“Steady-state” (MG) formulation and an Electric Conduction (EC) formulation. The coupling is ensured by the Faraday's law of induction and it is unidirectional because the magnetic effect of the resultant eddy currents is neglected. The models we propose consider simplified geometries. However, the source coil in which an imposed current flows is described by a parametric curve, which can be of any shape. The human head is modeled by a conductive homogeneous sphere. The paper describes all the modeling steps: geometrical, physical, mathematical, analytical, numerical and computational models. Numerical results are compared with analytical ones and, aiming to quantify the uncertainties (UQ), the expression of the modeling error was determined. The result is a hierarchical series of approximate surrogate models, which have different levels of accuracy and complexity. The performed UQ may be used to control the modeling error, keeping the complexity at a minimal level. Three test cases are studied, for different shapes of the source coil: 1-circular, 2-circular planar 8-shaped, 3-circular arranged in the 3D space.
