电磁波诱导神经跨膜电位的频率响应(1khz ~ 1ghz)

IF 1.4 4区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

International Journal of Nonlinear Sciences and Numerical Simulation Pub Date : 2022-09-23 DOI:10.1515/ijnsns-2021-0037

Z. Bakhtiary, M. Saviz

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引用次数: 0

摘要

摘要电磁辐射的许多生物物理效应是基于细胞膜上的感应电压来解释的。研究宽带频率响应是非常有指导意义的，它显示了携带特定时间波形的冲击电磁波如何转化为任何所需组织中细胞膜电位的时间依赖性变化。用身体和细胞的真实模型直接数值求解这个问题，会产生纳米尺寸的网格细胞，这几乎是任何计算机都负担不起的。在本文中，我们利用一种具有序列频率响应的多尺度方法来获得由入射到身体上的电磁波诱导的脑细胞跨膜电位变化的最终频率响应。结果显示出带通特性；大约10kHz至100MHz的频率窗口作为用于外部电磁场的神经元膜感测的最敏感频带。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Frequency responses for induced neural transmembrane potential by electromagnetic waves (1 kHz to 1 GHz)

Abstract Many biophysical effects of electromagnetic radiation are interpreted based on the induced voltage on cellular membranes. It is very instructive to study wideband frequency responses showing how an impinging electromagnetic wave carrying a certain time waveform translates into a time-dependent change in the cell-membrane potentials in any desired tissue. A direct numerical solution of this problem with realistic models for the body and cells results in meshcells of nanometer dimensions, which is unaffordable for almost any computing machine. In this paper, we exploit a multiscale method with serial frequency responses to arrive at the final frequency response for the induced transmembrane potential changes in cerebral cells induced by electromagnetic waves incident on the body. The results show a bandpass characteristic; a frequency window of approximately 10 kHz to 100 MHz as the most sensitive frequency band for neuronal membrane sensing of external electromagnetic fields.

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来源期刊

International Journal of Nonlinear Sciences and Numerical Simulation 工程技术-工程：综合

CiteScore

2.80

自引率

6.70%

发文量

117

审稿时长

13.7 months

期刊介绍： The International Journal of Nonlinear Sciences and Numerical Simulation publishes original papers on all subjects relevant to nonlinear sciences and numerical simulation. The journal is directed at Researchers in Nonlinear Sciences, Engineers, and Computational Scientists, Economists, and others, who either study the nature of nonlinear problems or conduct numerical simulations of nonlinear problems.