Designing transcranial magnetic stimulation systems
- 14 March 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Magnetics
- Vol. 41 (3), 1142-1148
- https://doi.org/10.1109/tmag.2004.843326
Abstract
We explain the process of designing optimized transcranial magnetic stimulation systems and outline a method for identifying optimal system parameters such as the number of turns, the capacitor size, the working voltage, and the size of the stimulation coil. The method combines field analysis, linear and nonlinear circuit analysis, and neural strength-duration response parameters. The method uses boundary-element analysis to predict the electric field as a function of depth, frequency, current, and excitation coil size. It then uses the field analysis to determine the inductance as a function of size and, in general, current when a saturable core is used. Circuit analysis allows these electric field computations to be indexed against system parameters, and optimized for total system energy and stimulation coil size. System optimizations depend on desired stimulation depth. A distinguishing feature of the method is that it inherently treats excitation frequency as an unknown to be determined from optimization.Keywords
This publication has 16 references indexed in Scilit:
- A novel coil design for magnetic nerve stimulationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A 3-D differential coil design for localized magnetic stimulationIEEE Transactions on Biomedical Engineering, 2001
- Design optimization of stimulation coil system for nerve stimulationIEEE Transactions on Magnetics, 1998
- NLPQL: A fortran subroutine solving constrained nonlinear programming problemsAnnals of Operations Research, 1986
- A comparative performance evaluation of 27 nonlinear programming codesComputing, 1983
- Computing a Trust Region StepSIAM Journal on Scientific and Statistical Computing, 1983
- Variable Metric Methods for Constrained OptimizationPublished by Springer Science and Business Media LLC ,1983
- THE CONVERGENCE OF VARIABLE METRIC METHODS FOR NONLINEARLY CONSTRAINED OPTIMIZATION CALCULATIONSPublished by Elsevier BV ,1978
- A fast algorithm for nonlinearly constrained optimization calculationsPublished by Springer Science and Business Media LLC ,1978
- A globally convergent method for nonlinear programmingJournal of Optimization Theory and Applications, 1977