Torso shape detection to improve lung monitoring
de Gelidi, Serena, Bardill, Andy 
ORCID: https://orcid.org/0000-0002-2451-3260, Wu, Yu, Demosthenous, Andreas, Tizzard, Andrew ORCID: https://orcid.org/0000-0002-6159-4901 and Bayford, Richard ORCID: https://orcid.org/0000-0001-8863-6385
(2017)
Torso shape detection to improve lung monitoring.
Proceedings of the 18th International Conference on Biomedical Applications of Electrical Impedance Tomography.
In: 18th International Conference on Biomedical Applications of Electrical Impedance Tomography, 21-24 June 2017, Hanover, New Hampshire, USA.
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[Conference or Workshop Item]
(doi:10.5281/zenodo.557093)
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Abstract
Two methodologies are proposed to detect the patient-specific boundary of the chest, aiming to produce a more accurate forward model for EIT analysis. Thus, a passive resistive and an inertial prototypes were prepared to characterize and reconstruct the shape of multiple phantoms. Preliminary results show how the passive device generates a minimum scatter between the reconstructed image and the actual shape
| Item Type: | Conference or Workshop Item (Paper) |
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| Research Areas: | A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group |
| Item ID: | 22325 |
| Useful Links: | |
| Depositing User: | Richard Bayford |
| Date Deposited: | 03 Aug 2017 14:42 |
| Last Modified: | 29 Nov 2022 20:49 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/22325 |
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