The real-time inversion of electrical impedance tomography ( EIT ) data for human chest monitoring is dealt with. More specifically, the paper is concerned with a numerical comparative assessment of an innovative learning-by-examples method, which has been provisionally introduced and preliminarily validated by the authors, aimed at solving the inverse problem arising when estimating the status of the lungs through EIT .
Real-Time Electrical Impedance Tomography of the Human Chest by Means of a Learning-by-Examples Method / Salucci, Marco; Oliveri, Giacomo; Massa, Andrea. - In: IEEE JOURNAL OF ELECTROMAGNETICS, RF AND MICROWAVES IN MEDICINE AND BIOLOGY.. - ISSN 2469-7249. - STAMPA. - 2019, 3:2(2019), pp. 88-96. [10.1109/JERM.2019.2893217]
Real-Time Electrical Impedance Tomography of the Human Chest by Means of a Learning-by-Examples Method
Salucci, Marco;Oliveri, Giacomo;Massa, Andrea
2019-01-01
Abstract
The real-time inversion of electrical impedance tomography ( EIT ) data for human chest monitoring is dealt with. More specifically, the paper is concerned with a numerical comparative assessment of an innovative learning-by-examples method, which has been provisionally introduced and preliminarily validated by the authors, aimed at solving the inverse problem arising when estimating the status of the lungs through EIT .| File | Dimensione | Formato | |
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