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New strategies in artificial ventilation: diagnosis and prevention of barotrauma/biotrauma through electrical impedance tomography (EIT)

Abstract

Although a life-saver in the short term, artificial mechanical ventilation is directly responsible for approximately 15,000 avoidable deaths per year in our country. The problems stem from the mechanical stress placed on a fragile and heterogeneous pulmonary structure. To prevent it, intensive care specialists needs better instruments to detect regional anomalies within the thoracic frame, as well as a deeper understanding of the pulmonary tissue response when coping with disease and mechanical stress. This project will study these deficiencies. Together with the Polytechnic School and the Mathematical School of USP, we will develop theoretical tools in order to conceive an ideal monitor in intensive care, potentially capable of capturing images, in real time, of regional and localized alterations in pulmonary ventilation. Through a series of clinical studies and experiments, we will determine the pulmonary response when coping with a variety of ventilating conditions, their ideal monitoring through this new technology, and a new logic for their treatment. (AU)

Articles published in Pesquisa FAPESP Magazine about the research grant:
Respiración bajo control 
Articles published in Pesquisa para Inovação FAPESP about research grant:
Technology reduces need for extracorporeal ventilation in patients with acute respiratory failure by 80% 
Technology optimizes use of mechanical ventilation and ICU beds 
Brazilian startup develops advanced artificial ventilation monitoring system 
Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MOTTA MELLO, LUIS AUGUSTO; DE STURLER, ERIC; PAULINO, GLAUCIO H.; NELLI SILVA, EMILIO CARLOS. Recycling Krylov subspaces for efficient large-scale electrical impedance tomography. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v. 199, n. 49-52, p. 3101-3110, 2010. Web of Science Citations: 11.
DE LIMA‚ C.R.; MELLO‚ L.A.M.; LIMA‚ R.G.; SILVA‚ E.C.N. Electrical impedance tomography through constrained sequential linear programming: a topology optimization approach. MEASUREMENT SCIENCE & TECHNOLOGY, v. 18, n. 9, p. 2847, 2007.

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