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Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements

McDermott, Barry
; 
O'Halloran, Martin
; 
Santorelli, Adam
; 
McGinley, Brian
; 
Porter, Emily
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Barry_EIT2018_EP2.pdf
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Identifiers
http://hdl.handle.net/10379/7553
 https://doi.org/10.13025/18611
Publication Date
2018-06-11
Keywords
Biomedical applications, Electrical Impedance Tomography
Type
conference paper
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Citation
McDermott, Barry, O'Halloran, Martin, Santorelli, Adam, McGinley, Brian, & Porter, Emily. (2018). Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements. Paper presented at the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography, Edinburgh, Scotland, 11-13 June.
Abstract
Machine learning and classification algorithms are applied to data collected from an EIT system. The system is used with an anatomically accurate head phantom setup in a variety of situations modelling normal and haemorrhagic brain. This initial study demonstrates the promise of classification, but also indicates challenges.
Funder
European Research Council
Horizon 2020
Hardiman Research Scholarship, NUI Galway
Publisher
EIT2018
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CC BY-NC-ND
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