EIT image-based bladder state classification for nocturnal enuresis
Date
2018-06-11Author
Dunne, Eoghan
Santorelli, Adam
McGinley, Brian
O'Halloran, Martin
Leader, Geraldine
Porter, Emily
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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
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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.