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Electrical exposure analysis of galvanic-coupled intra-body communication based on the empirical arm models

机译:基于经验臂模型的电流耦合体内通信的电暴露分析

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Intra-body communication (IBC) is one of the highlights in studies of body area networks. The existing IBC studies mainly focus on human channel characteristics of the physical layer, transceiver design for the application, and the protocol design for the networks. However, there are few safety analysis studies of the IBC electrical signals, especially for the galvanic-coupled type. Besides, the human channel model used in most of the studies is just a multi-layer homocentric cylinder model, which cannot accurately approximate the real human tissue layer. In this paper, the empirical arm models were established based on the geometrical information of six subjects. The thickness of each tissue layer and the anisotropy of muscle were also taken into account. Considering the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines, the restrictions taken as the evaluation criteria were the electric field intensity lower than 1.35?×?104 f V/m and the specific absorption rate (SAR) lower than 4?W/kg. The physiological electrode LT-1 was adopted in experiments whose size was 4?×?4?cm and the distance between each center of adjoining electrodes was 6?cm. The electric field intensity and localized SAR were all computed by the finite element method (FEM). The electric field intensity was set as average value of all tissues, while SAR was averaged over 10?g contiguous tissue. The computed data were compared with the 2010 ICNIRP guidelines restrictions in order to address the exposure restrictions of galvanic-coupled IBC electrical signals injected into the body with different amplitudes and frequencies. The input alternating signal was 1?mA current or 1?V voltage with the frequency range from 10?kHz to 1?MHz. When the subject was stimulated by a 1?mA alternating current, the average electric field intensity of all subjects exceeded restrictions when the frequency was lower than 20?kHz. The maximum difference among six subjects was 1.06?V/m at 10?kHz, and the minimum difference was 0.025?V/m at 400?kHz. While the excitation signal was a 1?V alternating voltage, the electric field intensity fell within the exposure restrictions gradually as the frequency increased beyond 50?kHz. The maximum difference among the six subjects was 2.55?V/m at 20?kHz, and the minimum difference was 0.54?V/m at 1?MHz. In addition, differences between the maximum and the minimum values at each frequency also decreased gradually with the frequency increased in both situations of alternating current and voltage. When SAR was introduced as the criteria, none of the subjects exceeded the restrictions with current injected. However, subjects 2, 4, and 6 did not satisfy the restrictions with voltage applied when the signal amplitude was ≥ 3, 6, and 10?V, respectively. The SAR differences for subjects with different frequencies were 0.062–1.3?W/kg of current input, and 0.648–6.096?W/kg of voltage input. Based on the empirical arm models established in this paper, we came to conclusion that the frequency of 100–300?kHz which belong to LF (30–300?kHz) according to the ICNIRP guidelines can be considered as the frequency restrictions of the galvanic-coupled IBC signal. This provided more choices for both intensities of current and voltage signals as well. On the other hand, it also makes great convenience for the design of transceiver hardware and artificial intelligence application. With the frequency restrictions settled, the intensity restrictions that the current signal of 1–10?mA and the voltage signal of 1–2?V were accessible. Particularly, in practical application we recommended the use of the current signals for its broad application and lower impact on the human tissue. In addition, it is noteworthy that the coupling structure design of the electrode interface should attract attention.
机译:人体内部通信(IBC)是人体区域网络研究的重点之一。现有的IBC研究主要集中在物理层的人员通道特性,应用程序的收发器设计以及网络的协议设计上。但是,很少有关于IBC电信号的安全分析研究,尤其是对于电耦合类型。此外,大多数研究中使用的人体通道模型仅仅是多层同心圆柱体模型,无法准确地逼近真实的人体组织层。本文基于六个对象的几何信息建立了经验手臂模型。还考虑了每个组织层的厚度和肌肉的各向异性。考虑到国际非电离辐射防护委员会(ICNIRP)指南,作为评估标准的限制条件是电场强度低于1.35Ω×?104 f V / m,比吸收率(SAR)低于4Ω。 W / kg。实验中采用生理电极LT-1,其尺寸为4Ω×Ω4Ω·cm,相邻电极的每个中心之间的距离为6Ω·cm。电场强度和局部SAR均通过有限元法(FEM)计算。电场强度设置为所有组织的平均值,而SAR则是对10μg连续组织的平均值。将计算的数据与2010 ICNIRP指南限制进行了比较,以解决以不同幅度和频率注入人体的电流耦合IBC电信号的暴露限制。输入交流信号为1?mA电流或1?V电压,频率范围为10?kHz至1?MHz。当对象受到1?mA交流电刺激时,当频率低于20?kHz时,所有对象的平均电场强度都超过限制。六个对象之间的最大差异在10?kHz时为1.06?V / m,最小差异在400?kHz时为0.025?V / m。当激励信号为1?V交流电压时,随着频率增加到50?kHz以上,电场强度逐渐落在曝光限制之内。六个对象之间的最大差异在20kHz时为2.55V / m,最小差异在1MHz时为0.54V / m。另外,在交流和电压的交流情况下,每个频率的最大值和最小值之间的差异也随着频率的增加而逐渐减小。当采用SAR作为标准时,没有一个对象超过电流注入的限制。然而,当信号幅度分别≥3、6和10?V时,对象2、4和6不能满足施加电压的限制。不同频率的受试者的SAR差异为:电流输入为0.062–1.3?W / kg,电压输入为0.648–6.096?W / kg。根据本文建立的经验臂模型,我们得出的结论是,根据ICNIRP指南,属于LF(30–300?kHz)的100–300?kHz的频率可以被认为是电流的频率限制。 -耦合的IBC信号。这也为电流和电压信号的强度提供了更多选择。另一方面,这也为收发器硬件和人工智能应用的设计提供了极大的方便。设置了频率限制后,就可以访问1–10?mA的电流信号和1-2?V的电压信号的强度限制。特别是,在实际应用中,我们建议使用电流信号,因为它具有广泛的应用范围,并且对人体组织的影响较小。另外,值得注意的是,电极界面的耦合结构设计应引起注意。

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