[1]秦雨萍,杨济宁,徐晶,等.电针理疗电传导机制建模与分析[J].中国医学物理学杂志,2022,39(8):980-986.[doi:DOI:10.3969/j.issn.1005-202X.2022.08.011]
　QIN Yuping,,et al.Modeling and analysis of electrical signal transmission mechanism in electroacupuncture physiotherapy[J].Chinese Journal of Medical Physics,2022,39(8):980-986.[doi:DOI:10.3969/j.issn.1005-202X.2022.08.011]
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电针理疗电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8期
页码:
980-986
栏目:
医学信号处理与医学仪器
出版日期:
2022-08-04

文章信息/Info

Title:
Modeling and analysis of electrical signal transmission mechanism in electroacupuncture physiotherapy
文章编号:
1005-202X（2022）08-0980-07
作者:
秦雨萍1; 2; 3; 杨济宁1; 2; 3; 徐晶1; 2; 3; 余远昱1; 2; 3; 王久江1; 2; 3
1.内江师范学院人工智能学院， 四川 内江 641100； 2.内江师范学院智慧医疗工程应用实验室， 四川 内江 641100； 3.内江师范学院内师-容天智慧医疗工程应用联合实验室， 四川 内江 641100
Author(s):
QIN Yuping1;  2;  3;  YANG Jining1;  2;  3;  XU Jing1;  2;  3;  YU Yuanyu1;  2;  3;  WANG Jiujiang1;  2;  3
1. School of Artificial Intelligence, Neijiang Normal University, Neijiang 641100, China 2. Smart Medical Engineering Applications Laboratory, Neijiang Normal University, Neijiang 641100, China 3. NJNM-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641100, China
关键词:
肌无力; 电针; 有限元模型; 传导机制; 理疗
Keywords:
Keywords: myasthenia electroacupuncture finite element model transmission mechanism physiotherapy
分类号:
R318；Q42
DOI:
DOI:10.3969/j.issn.1005-202X.2022.08.011
文献标志码:
A
摘要:
目的：为了有效分析电针治疗肌无力过程中，信号在机体内的扩散情况，提高信号阵列对于机体刺激的效果。方法：以中国数字人右手手臂影像数据集为数据基础，研发出用于分析电针理疗效果的有限元仿真几何结构模型。将模型导入到有限元仿真软件中，通过有限元建模的方法，建立电针理疗电信号传导理论模型，向电针的正负两极分别注入载波频率为1、2、5 kHz，幅度为±20 mA与-5 mA的电流信号，以此分析信号在手臂中的传播机制。结果：仿真分析发现，在正极附近产生最大为10 V的耦合电压，该电压对人体几乎是无害的，同时在正极周围会形成一个约1 cm半径的作用区域，该区域即为理疗的作用区域。同时通过分析手臂内轴线上的电势与电流分布发现，由于组织阻抗受频率增大的影响，组织电容效应越来越明显，耦合电势逐渐减小，但理疗关键因素的电流分布几乎不会受到影响。结论：刺激频率的增大会降低耦合电势且治疗效果不会受到任何影响，因此在后期治疗中，可以通过增加频率来降低耦合电势对人体的伤害。
Abstract:
Abstract: Objective To analyze the signal diffusion in the body during electroacupuncture treatment of myasthenia, thereby improving the effect of signal array on body stimulation. Methods Based on the image data set of Chinese digital human right arm, a finite element simulation geometric model for analyzing the therapeutic effect of electroacupuncture physiotherapy was developed and then import into finite element simulation software. A theoretical model of electrical signal transmission in electroacupuncture physiotherapy was established using finite element modeling method. The positive and negative electrodes of the electroacupuncture were input with current signals with carrier frequencies of 1, 2 and 5 kHz and amplitudes of ±20 mA and -5 mA, so as to analyze the transmission mechanism of the signal in the arm. Results The simulation analysis shows that the maximum coupling voltage of 10 V was generated near the positive electrode, which was almost harmless to human body, and that an action area with a radius of about 1 cm would be formed around the positive electrode, which was the action area of physiotherapy. Meanwhile, by analyzing the distributions of potential and current on the inner axis of the arm, it was found that due to the effects of frequency increase on the tissue impedance, the tissue capacitance effect became more and more obvious, and the coupling potential declined gradually, but the electric current distribution, the key factor of physiotherapy, was hardly affected. Conclusion The increase of stimulation frequency will reduce the coupling potential, and the therapeutic effect will not be affected. Therefore, the hurt of coupling potential to human body can be reduced by increasing the frequency in the treatment.

相似文献/References:

[1]张双,徐晶,余远昱,等.电针技术电化疗肌肉内血管瘤电传导机制建模与分析[J].中国医学物理学杂志,2022,39(9):1145.[doi:DOI:10.3969/j.issn.1005-202X.2022.09.015]
　ZHANG Shuang,,et al.Modeling and analysis of electrical signal transduction mechanism in electroacupuncture-based electrochemotherapy of intramuscular hemangioma[J].Chinese Journal of Medical Physics,2022,39(8):1145.[doi:DOI:10.3969/j.issn.1005-202X.2022.09.015]

备注/Memo

备注/Memo:
【收稿日期】2022-03-19 【基金项目】国家重点研发计划（2016YFC0100800, 2016YFC0100802）；四川省科技创新创业苗子工程重点项目（2022JDRC0134）；四川省重点研发计划（重大专项）（2021YFSC0040）；四川省国际港澳台科技创新合作重点研发项目（2022YFH0110）；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】秦雨萍，硕士，副教授，研究方向：偏微分方程、神经调控技术，E-mail: qin_yp@yeah.net
更新日期/Last Update: 2022-09-05