Novel non-resonant, low-frequency pulse–current circuit for energy-efficient, low-noise transcranial magnetic stimulation

Three variants of non-resonant, low-frequency TMS circuits were implemented based on the optimized pulse-current waveforms. Theoretical expressions for the optimal waveforms, including the IGBT-controlled voltage-dividing system, were presented. Each optimized triangular pulse-current waveform was modeled and simulated in MATLAB Simulink using these expressions. Moreover, by employing a low-frequency PWM controller, high-frequency switching is entirely avoided. The proposed circuit architecture, which combines a finite series of cascaded modules with the voltage-dividing network, can reproduce any of the optimized pulse-current waveforms as required.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2025-06-18
DOI
https://doi.org/10.3389/fnins.2025.1610764
Primary Topic
Transcranial Magnetic Stimulation Studies
Type
article
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Novel non-resonant, low-frequency pulse–current circuit for energy-efficient, low-noise transcranial magnetic stimulation

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Frontiers in Neuroscience
Transcranial Magnetic Stimulation Studies
article

Novel non-resonant, low-frequency pulse–current circuit for energy-efficient, low-noise transcranial magnetic stimulation

Yingwei Li, Jiasheng Tian, Jian Shi, Zhe Tian, Xiangyu Tan
article en

Abstract

Three variants of non-resonant, low-frequency TMS circuits were implemented based on the optimized pulse-current waveforms. Theoretical expressions for the optimal waveforms, including the IGBT-controlled voltage-dividing system, were presented. Each optimized triangular pulse-current waveform was modeled and simulated in MATLAB Simulink using these expressions. Moreover, by employing a low-frequency PWM controller, high-frequency switching is entirely avoided. The proposed circuit architecture, which combines a finite series of cascaded modules with the voltage-dividing network, can reproduce any of the optimized pulse-current waveforms as required.

Frontiers in NeuroscienceVol. 19
Ministry of Natural Resources (CN), Yanshan University (CN), State Key Laboratory of Remote Sensing Science (CN), Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Transcranial Magnetic Stimulation Studies
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