人体前臂组织各向异性的人体通信信道模型

人体前臂是一个近似的圆柱体结构,由组织包裹组成。这些组织有的各向同性,如皮肤,脂肪;有的各向异性,如肌肉等。它们对人体电流信号的传播与分布有着极大的影响,特别是肌肉组织。应用麦克斯韦方程,结合人体组织特性和准静态条件下的边界条件,在柱坐标系下建立了基于人体组织特性的信道模型。用该模型,结合人体组织各向特性的电参数(肌肉),在MATLAB2010a上分别计算出具有组织特性的信道模型和不具有组织特性的信道模型的结果。然后与在人体右前臂测量得到的数据相比较,发现加入组织特性的信道模型的增益曲线与实验数据保持高度一致,模型的平均误差比各向同性的信道模型误差下降了2%,最大误差也下降了3%,进一步降低了模型的失真率。

Intra-body communication channel model based on anisotropic tissue in human forearm

Human forearm approximates to a cylindrical structure;it is formed through encapsulating layers of human tissues. Some of them are isotropic,such as skin and fat,while the others like muscle are anisotropic.They have great effects on trans-mission and distribution of the current signal in human body,especially muscular tissue.Combining human tissues’characteris-tics and boundary conditions under the quasi-static condition,the channel model based on human tissues’characteristics is built in the cylindrical coordinate system by means of Maxwell equation.In combination with electric parameters of human anisotropic tis-sues （muscle）,the obtained channel model is used to derive the channel model with human tissues’characteristics and the one without human tissues’characteristics respectively in MATLAB2010a.Afterwards,these results are compared with the data ob-tained from measurement on human right forearm.The comparison shows that the gain curve of the channel model with human tissues’characteristics is highly consistent with experimental data.Compared with the isotropic channel model,the average error of the model is reduced by 2%,and its maximum error is also decreased by 3%;that is,the distortion rate has been further low-ered.