EIT Image-Based Bladder State Classification for Nocturnal Enuresis

Eoghan Dunne; Adam Santorelli; Brian McGinley; Martin O'Halloran; Geraldine Leader; Emily Porter; Alistair Boyle; Nick Polydorides; Jiabin Jia

doi:10.13025/22365

EIT Image-Based Bladder State Classification for Nocturnal Enuresis

Eoghan Dunne
, Adam Santorelli
, Brian McGinley
, Martin O'Halloran
, Geraldine Leader
, Emily Porter
, Alistair Boyle (Editor)
, Nick Polydorides (Editor)
, Jiabin Jia (Editor)

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

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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.

Original language	English (Ireland)
Title of host publication	19th International Conference on Biomedical Applications of Electrical Impedance Tomography
Place of Publication	Edinburgh
Publisher	School of Engineering, The University of Edinburgh
DOIs	https://doi.org/10.13025/22365 https://doi.org/10.5281/zenodo.1210247
Publication status	Published - 1 Jun 2018

Keywords

Bladder Fullness
Electrical Impedance Tomography
Image Classification
Nocturnal Enuresis
Urinary Bladder

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10.13025/22365Licence: CC BY
10.5281/zenodo.1210247

EITConferencePaper EoghanDunne ForIrisAccepted author manuscript, 347 KBLicence: CC BY

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Dunne, E., Santorelli, A., McGinley, B., O'Halloran, M., Leader, G., Porter, E., Boyle, A. (Ed.), Polydorides, N. (Ed.), & Jia, J. (Ed.) (2018). EIT Image-Based Bladder State Classification for Nocturnal Enuresis. In 19th International Conference on Biomedical Applications of Electrical Impedance Tomography School of Engineering, The University of Edinburgh. https://doi.org/10.13025/22365, https://doi.org/10.5281/zenodo.1210247

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title = "EIT Image-Based Bladder State Classification for Nocturnal Enuresis",

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.",

keywords = "Bladder Fullness, Electrical Impedance Tomography, Image Classification, Nocturnal Enuresis, Urinary Bladder",

author = "Eoghan Dunne and Adam Santorelli and Brian McGinley and Martin O'Halloran and Geraldine Leader and Emily Porter and Alistair Boyle and Nick Polydorides and Jiabin Jia",

year = "2018",

month = jun,

day = "1",

doi = "10.13025/22365",

language = "English (Ireland)",

booktitle = "19th International Conference on Biomedical Applications of Electrical Impedance Tomography",

publisher = "School of Engineering, The University of Edinburgh",

}

Dunne, E, Santorelli, A, McGinley, B, O'Halloran, M , Leader, G, Porter, E, Boyle, A (ed.), Polydorides, N (ed.) & Jia, J (ed.) 2018, EIT Image-Based Bladder State Classification for Nocturnal Enuresis. in 19th International Conference on Biomedical Applications of Electrical Impedance Tomography. School of Engineering, The University of Edinburgh, Edinburgh. https://doi.org/10.13025/22365, https://doi.org/10.5281/zenodo.1210247

EIT Image-Based Bladder State Classification for Nocturnal Enuresis. / Dunne, Eoghan; Santorelli, Adam; McGinley, Brian et al.
19th International Conference on Biomedical Applications of Electrical Impedance Tomography. Edinburgh: School of Engineering, The University of Edinburgh, 2018.

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

TY - GEN

T1 - EIT Image-Based Bladder State Classification for Nocturnal Enuresis

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AU - Santorelli, Adam

AU - McGinley, Brian

AU - O'Halloran, Martin

AU - Leader, Geraldine

AU - Porter, Emily

A2 - Boyle, Alistair

A2 - Polydorides, Nick

A2 - Jia, Jiabin

PY - 2018/6/1

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N2 - 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.

AB - 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.

KW - Bladder Fullness

KW - Electrical Impedance Tomography

KW - Image Classification

KW - Nocturnal Enuresis

KW - Urinary Bladder

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

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DO - 10.13025/22365

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BT - 19th International Conference on Biomedical Applications of Electrical Impedance Tomography

PB - School of Engineering, The University of Edinburgh

CY - Edinburgh

ER -

EIT Image-Based Bladder State Classification for Nocturnal Enuresis

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