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

• Grant number: 01/05303-4
• Support type: Research Projects - Thematic Grants
• Duration: July 01, 2002 - November 30, 2008
• Field of knowledge: Health Sciences - Medicine
• Principal Investigator: Marcelo Britto Passos Amato
• Grantee: Marcelo Britto Passos Amato
• Home Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated scholarship(s): 08/08739-7 - A D-bar method for imaging admittivity in 2D by electrical impedance tomography, BP.DR; 08/07150-0 - Non linear state estimation using the unscented Kalman filter in electrical impedance tomography, BP.DD; 08/05951-5 - Full nonlinear 2D EIT D-bar reconstructions of images for electrical impedance tomography using the method D-bar 2D, BP.DR; 07/06677-1 - Pulmonary colapsed and hyperdistension during prone position and supine position evaluation by electrical impedance tomography and multislice CT scan, BP.DD

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)

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.