摘要
在分析影响开放式电阻抗成像检测深度的关键因素和解决途径的基础上,针对实际应用建立了人体躯干二维截面物理模型和相应的数学模型,提出了表面激励、背电极激励和手电极激励等三种激励模式,并采用有限元法进行仿真评估。仿真结果表明,背电极激励和手电极激励能使激励电流更多地分布于被测对象深部区域,相应地能使边界电压对被测对象内部阻抗具有更高的灵敏度,从而提高开放式电阻抗成像的检测深度,比表面激励模式更加适合于开放式电阻抗成像的应用。
Based on the analysis of critical factors and solutions of the detecting depth of open electrical impedance tomography（EIT）,two-dimensional physical models and corresponding mathematical models for the human torso aiming at practical application were set up,and three excitation patterns,namely surface excitation（SE）,back excitation（BE） and hand excitation（HE） were proposed.The validity of these presented excitation patterns was proved by simulation with finite element method（FEM）.The simulation results indicate that the BE and HE make more excitation current distributed in deep region than SE,which lead to the boundary voltage is more sensitive to the internal impedance of object,then the detecting depth of open EIT is increased.Therefore,BE and HE are more suitable for application in open EIT.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2011年第9期1990-1994,共5页
Journal of System Simulation
基金
863计划(2006AA02Z4B7)
国际科技合作项目(2007DFR30080)
教育部博士点基金(20070611035)
