This paper describes the design and testing of a compact, battery-powered repetitive Transcranial Magnetic Stimulation (rTMS) prototype. This device generates a 10 Hz magnetic pulse train with peak flux density of 100 mT at 2 cm distance. Circuit component design, including the inductor, switched LC resonator, and boost converter, are discussed in the context of weight and size reduction, and performance optimization. The experimental approach and rationale together with acquired results validating the rTMS prototype design are presented. To the best of our knowledge, this is the first comprehensive feasibility demonstration of an inexpensive, lightweight, and portable rTMS device able to generate therapeutic levels of current, pulse rise time, and number of pulses. The generated magnetic field was kept to 0.1 Tesla for safety and testing considerations, but nevertheless was very close to therapeutic intensity, with driving circuitry scalable to support much stronger fields.Clinical Relevance- This feasibility study of a compact, battery-powered rTMS prototype test platform aims to enable broader and more convenient rTMS treatment at home, in a small clinic, vessel, or field hospital, and potentially, on an ambulatory basis.
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| http://dx.doi.org/10.1109/EMBC44109.2020.9176533 | DOI Listing |
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Article Synopsis
- * Recent research is investigating the use of Machine Learning, particularly deep learning techniques, to predict which patients are likely to benefit from rTMS, utilizing functional MRI data to identify responsive versus non-responsive patients.
- * Experiments show that this new model significantly outperforms traditional methods in predicting treatment outcomes, achieving high accuracy rates and identifying key brain connectivity measures that influence rTMS response.
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