中国科技论文
中國科技論文
중국과기논문
Sciencepaper Online
2014年
4期
417-419,433
,共4页
刘益和%张双%秦雨萍%张绍祥%谭立文
劉益和%張雙%秦雨萍%張紹祥%譚立文
류익화%장쌍%진우평%장소상%담립문
组织特性%电流耦合型%人体通信%信道模型
組織特性%電流耦閤型%人體通信%信道模型
조직특성%전류우합형%인체통신%신도모형
tissues’characteristics%galvanic coupling type%intra-body communication%channel model
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。
人體前臂是一箇近似的圓柱體結構,由組織包裹組成。這些組織有的各嚮同性,如皮膚,脂肪;有的各嚮異性,如肌肉等。它們對人體電流信號的傳播與分佈有著極大的影響,特彆是肌肉組織。應用麥剋斯韋方程,結閤人體組織特性和準靜態條件下的邊界條件,在柱坐標繫下建立瞭基于人體組織特性的信道模型。用該模型,結閤人體組織各嚮特性的電參數(肌肉),在MATLAB2010a 上分彆計算齣具有組織特性的信道模型和不具有組織特性的信道模型的結果。然後與在人體右前臂測量得到的數據相比較,髮現加入組織特性的信道模型的增益麯線與實驗數據保持高度一緻,模型的平均誤差比各嚮同性的信道模型誤差下降瞭2%,最大誤差也下降瞭3%,進一步降低瞭模型的失真率。
인체전비시일개근사적원주체결구,유조직포과조성。저사조직유적각향동성,여피부,지방;유적각향이성,여기육등。타문대인체전류신호적전파여분포유착겁대적영향,특별시기육조직。응용맥극사위방정,결합인체조직특성화준정태조건하적변계조건,재주좌표계하건립료기우인체조직특성적신도모형。용해모형,결합인체조직각향특성적전삼수(기육),재MATLAB2010a 상분별계산출구유조직특성적신도모형화불구유조직특성적신도모형적결과。연후여재인체우전비측량득도적수거상비교,발현가입조직특성적신도모형적증익곡선여실험수거보지고도일치,모형적평균오차비각향동성적신도모형오차하강료2%,최대오차야하강료3%,진일보강저료모형적실진솔。
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.