EIT Image-Based Bladder State Classification for Nocturnal Enuresis

Eoghan Dunne

doi:http://hdl.handle.net/10379/7437

EIT Image-Based Bladder State Classification for Nocturnal Enuresis

Eoghan Dunne

Electrical & Electronic Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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.

Original language	English (Ireland)
Title of host publication	19th International Conference on Biomedical Applications of Electrical Impedance Tomography
Place of Publication	Edinburgh
DOIs	https://doi.org/http://hdl.handle.net/10379/7437
Publication status	Published - 1 Jun 2018

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; O'Halloran, Martin; Leader, Geraldine; Porter, Emily;

Access to Document

http://hdl.handle.net/10379/7437

Cite this

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