[1]张双,王久江,余远昱,等.基于中国数字人的经皮神经电刺激信号传导机制建模与分析[J].中国医学物理学杂志,2022,39(1):57-62.[doi:DOI:10.3969/j.issn.1005-202X.2022.01.010]
　ZHANG Shuang,,et al.Modeling and analysis of TENS signal transduction mechanism based on Chinese digital human[J].Chinese Journal of Medical Physics,2022,39(1):57-62.[doi:DOI:10.3969/j.issn.1005-202X.2022.01.010]
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基于中国数字人的经皮神经电刺激信号传导机制建模与分析()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第1期
页码:
57-62
栏目:
医学信号处理与医学仪器
出版日期:
2022-01-17

文章信息/Info

Title:
Modeling and analysis of TENS signal transduction mechanism based on Chinese digital human
文章编号:
1005-202X（2022）01-0057-06
作者:
张双1; 2; 3; 王久江1; 余远昱1; 旷江明1; 徐晶1; 杨济宁1; 张涛2; 3
1.内江师范学院人工智能学院， 四川 内江 641112； 2.电子科技大学生命科学与技术学院， 四川 成都 611731； 3.电子科技大学高场磁共振脑成像四川省重点实验室， 四川 成都 611731
Author(s):
ZHANG Shuang1;  2;  3;  WANG Jiujiang1;  YU Yuanyu1;  KUANG Jiangming1;  XU Jing1;  YANG Jining1;  ZHANG Tao2;  3
1. School of Artificial Intelligence, Neijiang Normal University, Neijiang 641112, China 2. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China 3. High-Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, University of Electronic Science and Technology of China, Chengdu 611731, China
关键词:
经皮神经电刺激; 有限元模型; 中国数字人; 人体前臂; 骨骼
Keywords:
Keywords: transcutaneous electrical nerve stimulation finite element model Chinese digital human human forearm bone
分类号:
R318；Q42；Q64
DOI:
DOI:10.3969/j.issn.1005-202X.2022.01.010
文献标志码:
A
摘要:
目的：研究经皮神经电刺激（TENS）在实施肌肉刺激时信号在内部的传导情况，为理想刺激提供理论依据。方法：以中国数字人为数据基础，先使用Mimics软件完成组织分割与三维建模；考虑到多物理场有限元建模软件只能使用几何实体，接下来使用Geomagic软件完成组织的实体建模，得到组织的几何实体；最后将获得的几何实体在COMSOL Multiphysics 5.5中建模，并在频域环境下，通过注入20 mA的直流电信号分析信号在手臂中的传播机制。结果：由于皮肤存在集皮肤效应，信号主要集中在电极以及电极与皮肤的接触处，分析位置离电极中心位置越远，人体手臂内部感应电势越小，并且感应电势逐渐变为正电势。在手臂内部，骨骼不传导信号，但骨骼形状及数量会影响电流密度分布的均匀性。结论：在基于中国数字人的TNES信号传导模型中，传导距离越远，信号衰减越大；内部组织结构越复杂，信号分布也越不均匀。
Abstract:
Objective To study the internal signal transmission of transcutaneous electrical nerve stimulation (TENS) during muscle stimulation, thereby providing theoretical basis for ideal stimulation. Methods Based on data of Chinese digital human, tissue segmentation and three-dimensional modeling were completed by Mimics software. Considering that multi-physical field finite element modeling software was available only for geometric entity, Geomatics software was used to carry out the entity modeling of the tissues and then obtain the geometric entity of the tissues. Finally, the obtained geometric entity was modeled in COMSOL Multiphysics 5.5, and the transmission mechanism of the signal in the arm was analyzed by injecting 20 mA DC signal in the frequency-domain environment. Results Due to skin effect, the signal was mainly concentrated in the electrode and the contact site between the electrode and the skin. The farther the analysis position was from the center of the electrode, the smaller the induced potential in the human arm was, and the induced potential gradually became positive potential. Bones did not conduct signals inside the arm, but the shape and number of bones affected the uniformity of current density distribution. Conclusion In the TENS signal transduction model based on Chinese digital human, the farther the conduction distance is, the greater the signal attenuation is and the more complex the internal tissue structure is, the more heterogeneous the signal distribution is.

相似文献/References:

[1]郑金存,张 慧,梁伟江,等.基于混沌信号的经皮神经电刺激仪的设计[J].中国医学物理学杂志,2015,32(01):86.[doi:10.3969/j.issn.1005-202X.2015.01.021]
[2]张双,余远昱,王久江,等.多电极联合电刺激神经调控模型建立与分析[J].中国医学物理学杂志,2021,38(12):1524.[doi:DOI:10.3969/j.issn.1005-202X.2021.12.012]
　ZHANG Shuang,,et al.Establishment and analysis of neuromodulation model based on multiple-electrode electrical stimulation[J].Chinese Journal of Medical Physics,2021,38(1):1524.[doi:DOI:10.3969/j.issn.1005-202X.2021.12.012]

备注/Memo

备注/Memo:
【收稿日期】2021-11-15 【基金项目】国家自然科学基金（U19A2082）；四川省科技计划项目（2019YJ0181, 22MZGC0086），中国博士后科学基金面上项目（2020M683294）；成都医学院四川应用心理学研究中心资助项目（CSXL-21103）；内江师范学院科研团队项目（17TD03, 2021TD02） 【作者简介】张双，博士，博士后，副研究员，硕士生导师，研究方向：磁共振技术、体导通信技术、神经调控技术等，E-mail: zhangshuanghua1@126.com
更新日期/Last Update: 2022-01-17