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首页> 外文期刊>Antennas and Propagation, IEEE Transactions on >Exploration of Whole Human Body and UWB Radiation Interaction by Efficient and Accurate Two-Debye-Pole Tissue Models
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Exploration of Whole Human Body and UWB Radiation Interaction by Efficient and Accurate Two-Debye-Pole Tissue Models

机译:高效,准确的二德拜极组织模型探究人体与超宽带辐射的相互作用

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We have developed a computationally efficient finite-difference time-domain (FDTD) model of a whole human body based on accurate 2-pole Debye dispersion dielectric tissue properties. Comprehensive FDTD analyses of the interaction between a whole human body and ultrawideband (UWB) radiation are carried out by including the proposed frequency dependent tissue models. The 2-pole Debye models have been obtained for 50 individual human tissues from Gabriel's Cole-Cole data by the least squares fitting technique over the frequency range from 100 MHz to 6 GHz. A whole human body composed of the 2-pole Debye models is exposed to spread spectrum radiation. Local energy absorption in a human body is compared between the proposed model and the conventional model of frequency-independent permittivity and conductivity. Resonance states are then investigated in the human body exposed to electromagnetic nano-second pulse radiation. For the extraction of the frequency contents from the highly damped FDTD time signals, a spectrum analysis technique based on an auto-regressive (AR) model has been applied. Pulse propagation in the vicinity of the human body is also characterized by the proposed model for the wireless body area network (WBAN) application that has been proposed recently for computer assisted medical diagnostics and rehabilitation.
机译:我们已经基于精确的2极Debye色散电介质组织特性,开发了整个人体的高效计算有限时域(FDTD)模型。通过包括建议的频率依赖性组织模型,可以对整个人体与超宽带(UWB)辐射之间的相互作用进行全面的FDTD分析。在100 MHz至6 GHz的频率范围内,通过最小二乘拟合技术,从Gabriel的Cole-Cole数据中获得了50个人体组织的2极Debye模型。由2极Debye模型组成的整个人体都暴露于扩频辐射下。在提议的模型和与频率无关的介电常数和电导率的常规模型之间比较了人体中的局部能量吸收。然后研究暴露于电磁纳秒脉冲辐射的人体共振状态。为了从高度阻尼的FDTD时间信号中提取频率内容,已经应用了基于自回归(AR)模型的频谱分析技术。人体附近的脉冲传播的特征还在于最近提出的用于计算机辅助医学诊断和康复的无线人体局域网(WBAN)应用的建议模型。

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