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EIT image-based bladder state classification for nocturnal enuresis

Dunne, Eoghan
; 
Santorelli, Adam
; 
McGinley, Brian
; 
O'Halloran, Martin
; 
Leader, Geraldine
; 
Porter, Emily
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Identifiers
http://hdl.handle.net/10379/7437
 https://doi.org/10.13025/22365
Publication Date
2018-06-11
Keywords
Electrical Impedance Tomography, Nocturnal Enuresis, Image Classification, Urinary Bladder, Bladder Fullness
Type
Conference Paper
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Citation
Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; O'Halloran, Martin; Leader, Geraldine; Porter, Emily; (2018) EIT Image-Based Bladder State Classification for Nocturnal Enuresis. In: Boyle, Alistair; Polydorides, Nick; Jia, Jiabin; eds. Proceedings of the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography, Edinburgh, 11/06/2018- 13/06/2018
Abstract
In this paper, we propose the use of electrical impedance tomography (EIT) to support children with nocturnal enuresis. We perform the first image-based threshold classification for determining the bladder state of not full or full . The results demonstrate the strong promise for EIT as an aid for nocturnal enuresis.
Funder
Horizon 2020
European Research Council
RESPECT
FP7 People: Marie-Curie Actions
Publisher
School of Engineering, The University of Edinburgh
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Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Medicine (Conference Papers)