scholarly journals Classification of Electrical Impedance Tomography Data Using Machine Learning

Author(s):  
Diogo Pessoa ◽  
Bruno Machado Rocha ◽  
Grigorios-Aris Cheimariotis ◽  
Kostas Haris ◽  
Claas Strodthoff ◽  
...  
Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 108992
Author(s):  
Adriana Machado Malafaia da Mata ◽  
Bruno Furtado de Moura ◽  
Marcio Ferreira Martins ◽  
Francisco Hernán Sepúlveda Palma ◽  
Rogério Ramos

2018 ◽  
Vol 39 (5) ◽  
pp. 05NT01 ◽  
Author(s):  
Jennifer L Mueller ◽  
Peter Muller ◽  
Michelle Mellenthin ◽  
Rashmi Murthy ◽  
Michael Capps ◽  
...  

2007 ◽  
Vol 2007 ◽  
pp. 1-7 ◽  
Author(s):  
Mustapha Azzouz ◽  
Martin Hanke ◽  
Chantal Oesterlein ◽  
Karl Schilcher

We present numerical results for two reconstruction methods for a new planar electrical impedance tomography device. This prototype allows noninvasive medical imaging techniques if only one side of a patient is accessible for electric measurements. The two reconstruction methods have different properties: one is a linearization-type method that allows quantitative reconstructions; the other one, that is, the factorization method, is a qualitative one, and is designed to detect anomalies within the body.


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