Magnetopneumography - Advances in measurement procedure, modeling and inversion using artificial neural networks

被引：3

作者：

Tomek, Jiri ^{[1
]}

Platil, Antonin ^{[1
]}

Ripka, Pavel ^{[1
]}

机构：

[1] Czech Tech Univ, Fac Elect Engn, Dept Measurement, Prague 16627, Czech Republic

来源：

INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2007年 / 25卷 / 1-4期

关键词：

magnetopneumography; inversion; modeling; neural networks;

D O I：

10.3233/JAE-2007-853

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Magnetopneumography (MPG) uses examination of remanent magnetic field for determination of amount and distribution of ferromagnetic dust respired into the lungs. Experimental physical model and forward computer solver were built in order to provide data for training of neural network inverse model. Refinement of models, gradiometric configurations and inversion techniques is under research.

引用

页码：401 / 406

页数：6

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