Browsing Electrical and Electronic Engineering (Scholarly Articles) by Author "McGinley, Brian"
Now showing items 1-6 of 6
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Anatomically and dielectrically realistic microwave head phantom with circulation and reconfigurable lesions
McDermott, Barry; Porter, Emily; Santorelli, Adam; Divilly, Brendan; Morris, Liam; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (The Electromagnetics Academy, 2017)Phantoms provide valuable test platforms for developing medical devices. Solid materials in particular allow fabrication of stable and robust models. This paper presents a novel, anatomically realistic, multi-layered head ... -
Image-based classification of bladder state using electrical impedance tomography
Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-12-03)Objective: In this study, we examine the potential of using machine learning classification to determine the bladder state ( not full , full ) with electrical impedance tomography (EIT) images of the pelvic region. Accurate ... -
A realistic pelvic phantom for electrical impedance measurement
Dunne, Eoghan; McGinley, Brian; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-03-15)Objective: To design and fabricate an anatomically and conductively accurate phantom for electrical impedance studies of non-invasive bladder volume monitoring. Approach: A modular pelvic phantom was designed and fabricated, ... -
Stable tissue-mimicking materials and an anatomically realistic, adjustable head phantom for electrical impedance tomography
McDermott, Barry; McGinley, Brian; Krukiewicz, Katarzyna; Divilly, Brendan; Jones, Marggie; Biggs, Manus; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2017-11-27)Objective. To develop dielectrically accurate, easy to mould solid tissue-mimicking materials (TMMs) for use with electrical impedance tomography (EIT) and combine them into a head phantom with realistic anatomy and ... -
Supervised learning classifiers for electrical impedance-based bladder state detection
Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O’Halloran, Martin; Porter, Emily (Nature Publishing Group, 2018-03-29)Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary ... -
Symmetry difference electrical impedance tomography-a novel modality for anomaly detection
McDermott, Barry; Porter, Emily; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (IOP Publishing, 2018-04-26)Objective: The theoretical basis, experimental implementation, and proof of concept of a novel electrical impedance tomography (EIT) imaging technique, called symmetry difference EIT, is described. This technique is ...