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

Issue title: Proceedings of the twelfth International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems, ISEM Bad Gastein

Article type: Research Article

Authors: Tomek, Jiří^{a; *} | Platil, Antonín^a | Ripka, Pavel^a

Affiliations: [a] Czech Technical University, Faculty of Electrical Engineering, Department of Measurement, Technicka 2, 166 27 Prague, The Czech republic

Correspondence: [*] Corresponding author. Tel.: +420 2 2435 5899; Fax: +420 2 3333 9929; E-mail: [email protected]

Abstract: 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.

Keywords: Magnetopneumography, inversion, modeling, neural networks

DOI: 10.3233/JAE-2007-853

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 401-406, 2007