Publication

EIT image-based bladder state classification for nocturnal enuresis

Dunne, Eoghan
Santorelli, Adam
McGinley, Brian
O'Halloran, Martin
Leader, Geraldine
Porter, Emily
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.
Publisher
School of Engineering, The University of Edinburgh
Publisher DOI
10.5281/zenodo.1210247
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland