Reconstruction algorithms to monitor neonate lung function
Bayford, Richard and Kantartzis, P. and Tizzard, Andrew and Yerworth, R. and Liatsis, P. and Demosthenous, Andreas (2007) Reconstruction algorithms to monitor neonate lung function. In: IFMBE Proceedings, Part II - 13th International Conference on Electrical Bioimpedance and 8th Conference on Electrical Impedance Tomography 2007. Scharfetter, H. and Mervwa, R., eds. Springer-Verlag, Graz, Austria, pp. 352-355. ISBN 9783540738404
Full text is not in this repository.
Official URL: http://dx.doi.org/10.1007/978-3-540-73841-1_92
Disorders of lung growth, maturation and control of breathing are among the most important problems faced by the neonatologist. Objective, non-invasive measures of lung maturity and development, oxygen requirements and lung function, suitable for use in small, unsedated infants, are urgently required to define the nature and severity of persisting lung disease, and to identify risk factors for developing chronic lung problems. At present, no system for continuous monitoring of neonate lung function to reduce the risk of CLDI in intensive care units (ITUs) exists.We present the development of image reconstruction algorithms to monitor neonate lung function in ITU’s, and a method base on wearable technology to integrate measures of the boundary diameter from the boundary form. This approach provides a reduction of image artefacts in the reconstructed image associated with incorrect boundary form assumptions. In terms of image reconstruction, we utilise the concept of subspace invariance to design a block adaptive preconditioning scheme, which yields a smaller error norm and can provide improvements in the condition number of the coefficients matrix, as compared to incomplete Cholesky factorization, followed by the application of conjugate gradient.
|Item Type:||Book Section|
ID: 362; RP: IN FILE; 28
|Keywords (uncontrolled):||boundary form; pre-conditioning; Reconstruction algorithms|
|Research Areas:||A. Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences|
A. Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
|Deposited On:||30 Aug 2012 06:24|
|Last Modified:||25 Feb 2015 13:43|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year