The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Untuk menganggarkan taburan kekonduksian tisu berbilang lapisan dalam dalam keratan rentas tisu tempatan dengan menggunakan data biorintangan yang diukur secara bukan invasif pada permukaan tisu, kaedah pengukuran menggunakan elektrod terbahagi dicadangkan, di mana elektrod arus dibahagikan kepada beberapa bahagian. Kaedah ini dinilai dengan simulasi komputer menggunakan model tiga dimensi (3D) dan dua model dua dimensi (2D). Dalam makalah ini, taburan kekonduksian bagi model dipermudahkan (2D) dianalisis berdasarkan gabungan kaedah perbezaan terhingga (FDM) dan kaedah penurunan paling curam (SDM). Keputusan simulasi menunjukkan bahawa nilai kekonduksian untuk lapisan kulit, lemak dan otot boleh dianggarkan dengan ralat kurang daripada 0.1%. Walaupun hingar rawak kekuatan yang berbeza ditambah kepada nilai rintangan yang diukur, kekonduksian dianggarkan dengan ketepatan yang munasabah, contohnya, ralat purata adalah kira-kira 4.25% untuk 10% hingar. Konfigurasi elektrod yang dibahagikan diperiksa dari segi corak pembahagian dan saiz elektrod pengawal sekeliling untuk mengurung dan mengawal arus masukan daripada elektrod yang dibahagikan dalam kawasan keratan rentas dalam tisu.
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Salinan
Xueli ZHAO, Yohsuke KINOUCHI, Tadamitsu IRITANI, Tadaoki MORIMOTO, Mieko TAKEUCHI, "Estimation of Multi-Layer Tissue Conductivities from Non-invasively Measured Bioresistances Using Divided Electrodes" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 6, pp. 1031-1038, June 2002, doi: .
Abstract: To estimate inner multi-layer tissue conductivity distribution in a cross section of the local tissue by using bioresistance data measured noninvasively on the surface of the tissue, a measurement method using divided electrodes is proposed, where a current electrode is divided into several parts. The method is evaluated by computer simulations using a three-dimension (3D) model and two two-dimension (2D) models. In this paper, conductivity distributions of the simplified (2D) model are analyzed based on a combination of a finite difference method (FDM) and a steepest descent method (SDM). Simulation results show that conductivity values for skin, fat and muscle layers can be estimated with an error less than 0.1%. Even though different strength random noise is added to measured resistance values, the conductivities are estimated with reasonable precise, e.g., the average error is about 4.25% for 10% noise. The configuration of the divided electrodes are examined in terms of dividing pattern and the size of surrounding guard electrodes to confine and control the input currents from the divided electrodes within a cross sectional area in the tissue.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_6_1031/_p
Salinan
@ARTICLE{e85-d_6_1031,
author={Xueli ZHAO, Yohsuke KINOUCHI, Tadamitsu IRITANI, Tadaoki MORIMOTO, Mieko TAKEUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={Estimation of Multi-Layer Tissue Conductivities from Non-invasively Measured Bioresistances Using Divided Electrodes},
year={2002},
volume={E85-D},
number={6},
pages={1031-1038},
abstract={To estimate inner multi-layer tissue conductivity distribution in a cross section of the local tissue by using bioresistance data measured noninvasively on the surface of the tissue, a measurement method using divided electrodes is proposed, where a current electrode is divided into several parts. The method is evaluated by computer simulations using a three-dimension (3D) model and two two-dimension (2D) models. In this paper, conductivity distributions of the simplified (2D) model are analyzed based on a combination of a finite difference method (FDM) and a steepest descent method (SDM). Simulation results show that conductivity values for skin, fat and muscle layers can be estimated with an error less than 0.1%. Even though different strength random noise is added to measured resistance values, the conductivities are estimated with reasonable precise, e.g., the average error is about 4.25% for 10% noise. The configuration of the divided electrodes are examined in terms of dividing pattern and the size of surrounding guard electrodes to confine and control the input currents from the divided electrodes within a cross sectional area in the tissue.},
keywords={},
doi={},
ISSN={},
month={June},}
Salinan
TY - JOUR
TI - Estimation of Multi-Layer Tissue Conductivities from Non-invasively Measured Bioresistances Using Divided Electrodes
T2 - IEICE TRANSACTIONS on Information
SP - 1031
EP - 1038
AU - Xueli ZHAO
AU - Yohsuke KINOUCHI
AU - Tadamitsu IRITANI
AU - Tadaoki MORIMOTO
AU - Mieko TAKEUCHI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2002
AB - To estimate inner multi-layer tissue conductivity distribution in a cross section of the local tissue by using bioresistance data measured noninvasively on the surface of the tissue, a measurement method using divided electrodes is proposed, where a current electrode is divided into several parts. The method is evaluated by computer simulations using a three-dimension (3D) model and two two-dimension (2D) models. In this paper, conductivity distributions of the simplified (2D) model are analyzed based on a combination of a finite difference method (FDM) and a steepest descent method (SDM). Simulation results show that conductivity values for skin, fat and muscle layers can be estimated with an error less than 0.1%. Even though different strength random noise is added to measured resistance values, the conductivities are estimated with reasonable precise, e.g., the average error is about 4.25% for 10% noise. The configuration of the divided electrodes are examined in terms of dividing pattern and the size of surrounding guard electrodes to confine and control the input currents from the divided electrodes within a cross sectional area in the tissue.
ER -