dc.contributor.author | McDermott, Barry | |
dc.contributor.author | O'Halloran, Martin | |
dc.contributor.author | Santorelli, Adam | |
dc.contributor.author | McGinley, Brian | |
dc.contributor.author | Porter, Emily | |
dc.contributor.editor | Boyle, Alistair | |
dc.contributor.editor | Polydorides, Nick | |
dc.contributor.editor | Jia, Jiabin | |
dc.date.accessioned | 2018-08-20T13:12:04Z | |
dc.date.available | 2018-08-20T13:12:04Z | |
dc.date.issued | 2018-06-11 | |
dc.identifier.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. | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/7553 | |
dc.description.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. | en_IE |
dc.description.sponsorship | The research leading to these results has received funding
from the European Research Council under the European
Union’s Horizon 2020 Programme/ ERC Grant
Agreement BioElecPro n.637780, and from the Hardiman
Research Scholarship, NUIG. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | EIT2018 | en_IE |
dc.relation.ispartof | 19th International Conference on Biomedical Applications of Electrical Impedance Tomography | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Biomedical applications | en_IE |
dc.subject | Electrical Impedance Tomography | en_IE |
dc.title | Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2018-08-15T17:47:21Z | |
dc.identifier.doi | 10.5281/zenodo.1210247 | |
dc.local.publishedsource | https://zenodo.org/record/1210247#.W3Rmf5NKigA | en_IE |
dc.description.peer-reviewed | non-peer-reviewed | |
dc.contributor.funder | European Research Council | en_IE |
dc.contributor.funder | Horizon 2020 | en_IE |
dc.contributor.funder | Hardiman Research Scholarship, NUI Galway | en_IE |
dc.internal.rssid | 14792741 | |
dc.local.contact | Barry Mc Dermott, Translational Medical Device Lab, , 2nd Floor Lambe Translational Research Facility,, University College Hospital, , Galway. - Email: b.mcdermott3@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
dcterms.project | info:eu-repo/grantAgreement/EC/H2020::ERC::ERC-STG/637780/EU/Frontier Research on the Dielectric Properties of Biological Tissue/BIOELECPRO | en_IE |
nui.item.downloads | 132 | |