全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A Novel Approach for Measuring Electrical Impedance Tomography for Local Tissue with Artificial Intelligent Algorithm

Keywords: Artificial Intelligence , Alopex Algorithm , Divided Electrode Method , Electrical Impedance Tomography , Equivalent Circuit Model , Medical Imaging

Full-Text   Cite this paper   Add to My Lib

Abstract:

This paper proposes a novel approach for measuring Electrical ImpedanceTomography (EIT) of a living tissue in a human body. EIT is a non-invasivetechnique to measure two or three-dimensional impedance for medical diagnosisinvolving several diseases. To measure the impedance value electrodes areconnected to the skin of the patient and an image of the conductivity orpermittivity of living tissue is deduced from surface electrodes. The determinationof local impedance parameters can be carried out using an equivalent circuitmodel. However, the estimation of inner tissue impedance distribution usingimpedance measurements on a global tissue from various directions is aninverse problem. Hence it is necessary to solve the inverse problem ofcalculating mathematical values for current and potential from conductingsurfaces. This paper proposes a novel algorithm that can be successfully usedfor estimating parameters. The proposed novel hybrid model is a combination ofan artificial intelligence based gradient free optimization technique and numericalintegration. This ameliorates the achievement of spatial resolution of equivalentcircuit model to the closest accuracy. We address the issue of initial parameterestimation and spatial resolution accuracy of an electrode structure by using anarrangement called “divided electrode” for measurement of bio-impedance in across section of a local tissue.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133