Optimum Design of Continuously Workable Transcranial Magnetic Stimulator

Fang, Xiao; Ding, Hongfa; Liu, Chang; Li, Xiaofeng; Huang, Yongheng

doi:10.1109/tasc.2020.2980512

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…However, this design was not effectively implemented by others due to concerns of producing important eddy currents, increased heat in the core, or even lower efficiencies for high repetition rates due to core saturation. Along the same path, other designs using iron-core materials and windowed shielding plates with improved focality [ 97 , 98 ] and water-cooling stimulation (WCS) coils [ 60 ] have been also proposed. Applications of these coils designs are those detailed for the FoE coil.…”

Section: Resultsmentioning

confidence: 99%

Devices and Technology in Transcranial Magnetic Stimulation: A Systematic Review

et al. 2022

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The technology for transcranial magnetic stimulation (TMS) has significantly changed over the years, with important improvements in the signal generators, the coils, the positioning systems, and the software for modeling, optimization, and therapy planning. In this systematic literature review (SLR), the evolution of each component of TMS technology is presented and analyzed to assess the limitations to overcome. This SLR was carried out following the PRISMA 2020 statement. Published articles of TMS were searched for in four databases (Web of Science, PubMed, Scopus, IEEE). Conference papers and other reviews were excluded. Records were filtered using terms about TMS technology with a semi-automatic software; articles that did not present new technology developments were excluded manually. After this screening, 101 records were included, with 19 articles proposing new stimulator designs (18.8%), 46 presenting or adapting coils (45.5%), 18 proposing systems for coil placement (17.8%), and 43 implementing algorithms for coil optimization (42.6%). The articles were blindly classified by the authors to reduce the risk of bias. However, our results could have been influenced by our research interests, which would affect conclusions for applications in psychiatric and neurological diseases. Our analysis indicates that more emphasis should be placed on optimizing the current technology with a special focus on the experimental validation of models. With this review, we expect to establish the base for future TMS technological developments.

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Section: Resultsmentioning

confidence: 99%

Devices and Technology in Transcranial Magnetic Stimulation: A Systematic Review

et al. 2022

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“…Furthermore, the authors of Ref. [ 23 ] designed a hollow coil with circulation of deionized water to accelerate coil heat dissipation. Ref.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation

Zhang

Liu

et al. 2023

Heliyon

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“…The finite element modeling method represents the most direct and effective strategy of providing an accurate electrical stimulation scheme. To minimize modeling difficulty and improve the computing speed of a computer, current neural regulation and source location modeling are typically implemented using simplified models [ 18 , 19 , 20 , 21 ]. This leads to substantial discrepancies with the actual human tissue structure, and the calculation results often differ considerably from the actual measurement [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…To minimize modeling difficulty and improve the computing speed of a computer, current neural regulation and source location modeling are typically implemented using simplified models [ 18 , 19 , 20 , 21 ]. This leads to substantial discrepancies with the actual human tissue structure, and the calculation results often differ considerably from the actual measurement [ 18 , 19 ]. To this end, some researchers have proposed to use medical images to construct a digital human architecture with human tissue characteristics.…”

Section: Introductionmentioning

confidence: 99%

Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation

Zhang

Wang

et al. 2023

Bioengineering

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To effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the tissue to obtain its three-dimensional cloud point dataset. Finally, a semirefined digital arm entity model with the geometric characteristics of the actual human arm tissue was constructed using reverse engineering technology. Further input of the current signal stimulation under tDCS and tACS with additional analysis of the signal diffusion in the transient mode via model calculation revealed that DC electrical stimulation is likely to cause high-voltage burns. The effective depth achieved using the AC stimulation signal is considerable, and provides reference for the electrical stimulation selection. Simultaneously, in the digital arm model, the signal diffusion and tissue damage inside the arm can be analyzed by changing the field, which provides a theoretical basis for the experimental study of the human body.

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Optimum Design of Continuously Workable Transcranial Magnetic Stimulator

Cited by 5 publications

References 31 publications

Devices and Technology in Transcranial Magnetic Stimulation: A Systematic Review

Devices and Technology in Transcranial Magnetic Stimulation: A Systematic Review

Multi-objective optimization method for coil current waveform of transcranial magnetic stimulation

Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation

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