Fast Model Order Reduction-Based Approach for Transcranial Magnetic Stimulation With Varying Coil Positioning

IEEE Access 2026 Open access

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Authors: Lorenzo Codecasa, X. Zhu, Luca Di Rienzo, Sami Barmada, Shayan Dodge, Nunzia Fontana, M. Tucci, A. Pichiecchio, Giuseppe Cosentino, Maria Evelina Mognaschi
DOI: 10.1109/access.2026.3668478
Cited by: 1
References: 18

Abstract

A nonlinear parametric model order reduction approach based on random selection of parameters and hyper-reduction is proposed and applied for the computation of the induced electric field in a subject’s head due to transcranial magnetic stimulation. The resulting reduced order model dramatically decreases computational times when simulating several positions and orientations of the excitation coil in a chosen region of interest. In particular the proposed model allows to obtain field solutions in a faster way with respect to classical solvers as Finite Element Methods without losing accuracy.

Fields of Study & Subjects

Transcranial Magnetic Stimulation Studies Advanced Optical Imaging Technologies Intraoperative Neuromonitoring and Anesthetic Effects

Publication details

Journal / source
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
14
Pages
32796–32806
Publication date
1 January 2026
Language
EN