分形电极的高效神经刺激分析。

Frontiers in neuroengineering Pub Date : 2013-07-12 eCollection Date: 2013-01-01 DOI:10.3389/fneng.2013.00003
Laleh Golestanirad, Behzad Elahi, Alberto Molina, Juan R Mosig, Claudio Pollo, Robert Chen, Simon J Graham
{"title":"分形电极的高效神经刺激分析。","authors":"Laleh Golestanirad,&nbsp;Behzad Elahi,&nbsp;Alberto Molina,&nbsp;Juan R Mosig,&nbsp;Claudio Pollo,&nbsp;Robert Chen,&nbsp;Simon J Graham","doi":"10.3389/fneng.2013.00003","DOIUrl":null,"url":null,"abstract":"<p><p>Planar electrodes are increasingly used in therapeutic neural stimulation techniques such as functional electrical stimulation, epidural spinal cord stimulation (ESCS), and cortical stimulation. Recently, optimized electrode geometries have been shown to increase the efficiency of neural stimulation by increasing the variation of current density on the electrode surface. In the present work, a new family of modified fractal electrode geometries is developed to enhance the efficiency of neural stimulation. It is shown that a promising approach in increasing the neural activation function is to increase the \"edginess\" of the electrode surface, a concept that is explained and quantified by fractal mathematics. Rigorous finite element simulations were performed to compute electric potential produced by proposed modified fractal geometries. The activation of 256 model axons positioned around the electrodes was then quantified, showing that modified fractal geometries required a 22% less input power while maintaining the same level of neural activation. Preliminary in vivo experiments investigating muscle evoked potentials due to median nerve stimulation showed encouraging results, supporting the feasibility of increasing neural stimulation efficiency using modified fractal geometries. </p>","PeriodicalId":73093,"journal":{"name":"Frontiers in neuroengineering","volume":"6 ","pages":"3"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3389/fneng.2013.00003","citationCount":"33","resultStr":"{\"title\":\"Analysis of fractal electrodes for efficient neural stimulation.\",\"authors\":\"Laleh Golestanirad,&nbsp;Behzad Elahi,&nbsp;Alberto Molina,&nbsp;Juan R Mosig,&nbsp;Claudio Pollo,&nbsp;Robert Chen,&nbsp;Simon J Graham\",\"doi\":\"10.3389/fneng.2013.00003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Planar electrodes are increasingly used in therapeutic neural stimulation techniques such as functional electrical stimulation, epidural spinal cord stimulation (ESCS), and cortical stimulation. Recently, optimized electrode geometries have been shown to increase the efficiency of neural stimulation by increasing the variation of current density on the electrode surface. In the present work, a new family of modified fractal electrode geometries is developed to enhance the efficiency of neural stimulation. It is shown that a promising approach in increasing the neural activation function is to increase the \\\"edginess\\\" of the electrode surface, a concept that is explained and quantified by fractal mathematics. Rigorous finite element simulations were performed to compute electric potential produced by proposed modified fractal geometries. The activation of 256 model axons positioned around the electrodes was then quantified, showing that modified fractal geometries required a 22% less input power while maintaining the same level of neural activation. Preliminary in vivo experiments investigating muscle evoked potentials due to median nerve stimulation showed encouraging results, supporting the feasibility of increasing neural stimulation efficiency using modified fractal geometries. </p>\",\"PeriodicalId\":73093,\"journal\":{\"name\":\"Frontiers in neuroengineering\",\"volume\":\"6 \",\"pages\":\"3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3389/fneng.2013.00003\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in neuroengineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fneng.2013.00003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2013/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in neuroengineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fneng.2013.00003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

摘要

平面电极越来越多地用于治疗性神经刺激技术,如功能性电刺激、硬膜外脊髓刺激(ESCS)和皮质刺激。最近,优化的电极几何形状已被证明可以通过增加电极表面电流密度的变化来提高神经刺激的效率。本文提出了一种新的改进的分形电极几何形状,以提高神经刺激的效率。研究表明,增加电极表面的“棱角”是增加神经激活函数的一种很有前途的方法,这一概念可以用分形数学来解释和量化。采用严格的有限元模拟计算改进的分形几何所产生的电势。然后对电极周围256个模型轴突的激活进行了量化,结果表明,在保持相同的神经激活水平的情况下,改进的分形几何图形所需的输入功率减少了22%。研究正中神经刺激引起的肌肉诱发电位的初步体内实验显示了令人鼓舞的结果,支持使用改进的分形几何来提高神经刺激效率的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of fractal electrodes for efficient neural stimulation.

Analysis of fractal electrodes for efficient neural stimulation.

Analysis of fractal electrodes for efficient neural stimulation.

Analysis of fractal electrodes for efficient neural stimulation.

Planar electrodes are increasingly used in therapeutic neural stimulation techniques such as functional electrical stimulation, epidural spinal cord stimulation (ESCS), and cortical stimulation. Recently, optimized electrode geometries have been shown to increase the efficiency of neural stimulation by increasing the variation of current density on the electrode surface. In the present work, a new family of modified fractal electrode geometries is developed to enhance the efficiency of neural stimulation. It is shown that a promising approach in increasing the neural activation function is to increase the "edginess" of the electrode surface, a concept that is explained and quantified by fractal mathematics. Rigorous finite element simulations were performed to compute electric potential produced by proposed modified fractal geometries. The activation of 256 model axons positioned around the electrodes was then quantified, showing that modified fractal geometries required a 22% less input power while maintaining the same level of neural activation. Preliminary in vivo experiments investigating muscle evoked potentials due to median nerve stimulation showed encouraging results, supporting the feasibility of increasing neural stimulation efficiency using modified fractal geometries.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信