Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques
Book chapter
El Dib, H., Tizzard, A. and Bayford, R. 2009. Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques. in: Dössel, O. and Schlegel, W. (ed.) IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany Munich, Germany Springer.
Chapter title | Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques |
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Authors | El Dib, H., Tizzard, A. and Bayford, R. |
Abstract | Electrical impedance Tomography (EIT) has great potential as a low cost continuous monitoring system for neonate lung function. However EIT data obtained from clinical measurements are inherently noisy and require reconstruction algorithms that are robust enough to cope with these difficulties. In this paper, we examine the potential of a linear Kalman approach for EIT difference imaging. Simulated data is used for the reconstruction process; real time-data is being tested and the results will be introduced at a latter stage of this research. Our objective is to use this initial research to develop a nonlinear Kalman filter for frequency difference imaging of neonate lung function. |
Research Group | Biophysics and Bioengineering group |
Book title | IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany |
Editors | Dössel, O. and Schlegel, W. |
Publisher | Springer |
Place of publication | Munich, Germany |
ISBN | |
Hardcover | 9783642038815 |
Publication dates | |
2009 | |
Publication process dates | |
Deposited | 04 Sep 2012 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-03882-2_435 |
Language | English |
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