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Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends

Denai, M., Mahfouf, M., Mohamad-Samuri, S., Panoutsos, G., Brown, B.H. and Mills, G.H. (2010) Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends. IEEE Transactions on Information Technology in Biomedicine, 14 (3). pp. 641-649. ISSN 1089-7771

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Thoracic electrical impedance tomography (EIT) is a noninvasive, radiation-free monitoring technique whose aim is to reconstruct a cross-sectional image of the internal spatial distribution of conductivity from electrical measurements made by injecting small alternating currents via an electrode array placed on the surface of the thorax. The purpose of this paper is to discuss the fundamentals of EIT and demonstrate the principles of mechanical ventilation, lung recruitment, and EIT imaging on a comprehensive physiological model, which combines a model of respiratory mechanics, a model of the human lung absolute resistivity as a function of air content, and a 2-D finite-element mesh of the thorax to simulate EIT image reconstruction during mechanical ventilation. The overall model gives a good understanding of respiratory physiology and EIT monitoring techniques in mechanically ventilated patients. The model proposed here was able to reproduce consistent images of ventilation distribution in simulated acutely injured and collapsed lung conditions. A new advisory system architecture integrating a previously developed data-driven physiological model for continuous and noninvasive predictions of blood gas parameters with the regional lung function data/information generated from absolute EIT (aEIT) is proposed for monitoring and ventilator therapy management of critical care patients.

Item Type: Article
Copyright, Publisher and Additional Information: © Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Biomedical imaging; blood gas; electrical impedance tomography (EIT); mechanical ventilation; respiratory system
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Clinical Sciences Division South (Sheffield) > Department of Medical Physics and Clinical Engineering (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 09 Jul 2010 08:59
Last Modified: 09 Jun 2014 11:03
Published Version: http://dx.doi.org/10.1109/TITB.2009.2036010
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: 10.1109/TITB.2009.2036010
URI: http://eprints.whiterose.ac.uk/id/eprint/11014

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