Optimization of electrical stimulation parameters based on the primary motor cortex

被引:0
|
作者
Xiao, Yuanyuan [1 ]
Guo, Xin [1 ,2 ,3 ]
Li, Zengyong [4 ]
机构
[1] Hebei Univ Technol, Sch Artificial Intelligence & Data Sci, Tianjin, Peoples R China
[2] Minist Educ, Engn Res Ctr Intelligent Rehabil Device & Detect, Tianjin, Peoples R China
[3] Qinhuangdao Res Inst, Natl Rehabil Aids Res Ctr, Qinhuangdao, Hebei, Peoples R China
[4] Natl Res Ctr Rehabil Aids, Beijing, Peoples R China
关键词
Transcranial electrical stimulation; real head model; electric field simulation; algorithm optimization; PREFRONTAL CORTEX; BRAIN; POLARIZATION;
D O I
10.1109/ICMA61710.2024.10632937
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Transcranial electrical stimulation refers to the transmission of weak electrical currents to the brain through scalp electrodes to induce neuromodulatory effects. Current usually passes through two large electrodes, generating a diffusion electric field. In this article, we propose a new paradigm where multiple small electrodes with independent current control are systematically optimized to generate targeted and effective stimuli under safety constraints. We used finite element method combined with a model based on human head magnetic resonance imaging to develop a linear system that correlates the applied scalp current with the generated electric field. Then apply optimization techniques to derive yield increasing parameters that maximize intensity or focus at the target location. The results indicate that the optimal electrode structure is closely related to the required electric field orientation and optimization criteria. The two optimization methods used have achieved good results.
引用
收藏
页码:1200 / 1205
页数:6
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