Volltext-Downloads (blau) und Frontdoor-Views (grau)

A review of electrical impedance tomography in lung applications: Theory and algorithms for absolute images

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Thiago de Castro Martins, Andre K. Sato, Fernando S. de Moura, Erick D. L. Bueno de Camargo, Olavo L. Silva, Talles B. Santos, Zhanqi ZhaoORCiD, Knut MöllerORCiD, Marcelo B. Amato, Jennifer L. Müller, Raul G. Lima, Marcos S. Tsuzuki
DOI:https://doi.org/10.1016/j.arcontrol.2019.05.002
ISSN:1367-5788
Parent Title (English):Annual Reviews in Control
Document Type:Article (peer-reviewed)
Language:English
Year of Completion:2019
Release Date:2019/11/18
Tag:ARDS; Anatomical atlas; Approximation error; Bayesian inference; Electrical impedance tomography; Lung diseases; Massive parallel computing
Volume:48.2019
First Page:442
Last Page:471
Licence (German):License LogoEs gilt das UrhG