Department of Electrical Engineering, University at Buffalo, Buffalo, NY, USA.
Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Sci Rep. 2023 Sep 5;13(1):14643. doi: 10.1038/s41598-023-41808-9.
The field of wireless communication has witnessed tremendous advancements in the past few decades, leading to more pervasive and ubiquitous networks. Human bodies are continually exposed to electromagnetic radiation, but typically this does not impact the body as the radiation is non-ionizing and the waves carry low power. However, with progress in the sixth generation (6G) of wireless networks and the adoption of the spectrum above 100 GHz in the next few years, higher power radiation is needed to cover larger areas, exposing humans to stronger and more prolonged radiation. Also, water has a high absorption coefficient at these frequencies and could lead to thermal effects on the skin. Hence, there is a need to study the radiation effects on human tissues, specifically the photothermal effects. In this paper, we present a custom-built, multi-physics model to investigate electromagnetic wave propagation in human tissue and study its subsequent photothermal effects. The proposed finite-element model consists of two segments-the first one estimates the intensity distribution along the beam path, while the second calculates the increase in temperature due to the wave distribution inside the tissue. We determine the intensity variation in the tissue using the radiative transfer equation and compare the results with Monte Carlo analysis and existing analytical models. The intensity information is then utilized to predict the rise in temperature with a bio-heat transfer module, powered by Pennes' bioheat equation. The model is parametric, and we perform a systematic photothermal analysis to recognize the crucial variables responsible for the temperature growth inside the tissue, particularly for terahertz and near-infrared optical frequencies. Our numerical model can serve as a benchmark for studying the high-frequency radiation effects on complex heterogeneous media such as human tissue.
无线通信领域在过去几十年中取得了巨大的进展,导致网络更加普及和无处不在。人体不断受到电磁辐射的影响,但通常情况下,这种辐射不会对人体造成影响,因为辐射是非电离的,波携带的能量较低。然而,随着第六代(6G)无线网络的发展和未来几年对 100GHz 以上频谱的采用,需要更高的功率辐射来覆盖更大的区域,使人体暴露在更强、更持久的辐射下。此外,水在这些频率下具有较高的吸收系数,可能会导致皮肤产生热效应。因此,需要研究电磁辐射对人体组织的影响,特别是光热效应。在本文中,我们提出了一个定制的多物理模型,用于研究电磁波在人体组织中的传播及其随后的光热效应。所提出的有限元模型由两个部分组成——第一部分估计沿光束路径的强度分布,第二部分计算由于组织内波分布而导致的温度升高。我们使用辐射传输方程来确定组织中的强度变化,并将结果与蒙特卡罗分析和现有的分析模型进行比较。然后,利用生物传热模块利用强度信息来预测温度升高,该模块由 Pennes 生物传热方程提供动力。该模型是参数化的,我们进行了系统的光热分析,以识别对组织内温度增长起关键作用的变量,特别是对于太赫兹和近红外光频率。我们的数值模型可以作为研究复杂非均匀介质(如人体组织)中高频辐射影响的基准。