Browsing by Author "Dunne, Eoghan"

Now showing items 1-15 of 15

    • A realistic pelvic phantom for electrical impedance measurement 

      Dunne, Eoghan; McGinley, Brian; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2017-12-22)
      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, ...

    • Brain haemorrhage detection through SVM classification of electrical impedance tomography measurements 

      McDermott, Barry; Dunne, Eoghan; O’Halloran, Martin; Porter, Emily; Santorelli, Adam (Springer, Cham, 2019-08-28)
      A brain haemorrhage constitutes a serious medical scenario with a need for rapid, accurate detection to facilitate treatment initiation. Machine learning (ML) techniques applied to such medical diagnostic problems can ...

    • Detection of vesicoureteral reflux using electrical impedance tomography 

      Dunne, Eoghan; O'Halloran, Martin; Craven, Darren; Puri, Prem; Frehill, Paul; Loughney, Sarah; Porter, Emily (IEEE, 2018-12-14)
      Objective: The purpose of this study is to detect vesicoureteral reflux (VUR) non-invasively using electrical impedance tomography (EIT). VUR is characterized by the backflow of urine from the bladder to the kidneys. ...

    • EIT image-based bladder state classification for nocturnal enuresis 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; O'Halloran, Martin; Leader, Geraldine; Porter, Emily (School of Engineering, The University of Edinburgh, 2018-06-11)
      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 ...

    • Gamma band light stimulation in human case studies: Groundwork for potential Alzheimer's disease treatment 

      Jones, Marggie; McDermott, Barry; Oliveira, Bárbara Luz; O'Brien, Aoife; Coogan, Declan; Lang, Mark; Moriarty, Niamh; Dowd, Eilis; Quinlan, Leo; Mc Ginley, Brian; Dunne, Eoghan; Newell, David; Porter, Emily; Elahi, Muhammad Adnan; O' Halloran, Martin; Shahzad, Atif (IOS Press, 2019-05-27)
      It is known that proteins associated with Alzheimer's disease (AD) pathogenesis are significantly reduced by 40¿Hz entrainment in mice. If this were to translate to humans, verifying that such a light stimulus can induce ...

    • Heparin as an anticoagulant for the dielectric measurement of blood 

      Dunne, Eoghan; O'Halloran, Martin; Porter, Emily; Bonello, Julian; Farrugia, Lourdes; Sammut, Charles V.; Schembri-Wismayer, Pierre (Institute of Electrical and Electronics Engineers, 2019-01-23)
      Testing blood ex-vivo allows physicians to gain an understanding of what is happening within the human body. Once blood is extracted from the body, it begins to clot. This process can affect the outcome of blood tests, ...

    • 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 ...

    • Linear regression for estimating bladder volume with voltage signals 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; O'Halloran, Martin; Porter, Emily (IEEE, 2018-11-08)
      Urinary incontinence is a common condition that can severely impact the lives of those who have it. Bladder volume monitoring solutions that exploit the electrical differences of different tissues in the pelvis have the ...

    • Machine learning applied to electrical impedance tomography for the improved management of nocturnal enuresis 

      Dunne, Eoghan (NUI Galway, 2021-06-04)
      Nocturnal Enuresis (or bedwetting) is a condition that commonly affects children but can continue into adulthood. The condition can have serious implications on the quality of a child’s life. The current first-line medical ...

    • Monitoring microwave thermal ablation using electrical impedance tomography: an experimental feasibility study 

      Bottiglieri, Anna; Dunne, Eoghan; McDermott, Barry; Cavagnaro, Marta; Porter, Emily; Farina, Laura (IEEE, 2020)
      Low-cost and reliable methods for monitoring the size of the ablation zone during microwave thermal ablation (MTA) are crucial in the oncological clinical practice. The aim of this work is to test the performance of ...

    • Multiclass SVM for bladder volume monitoring using electrical impedance measurements 

      Santorelli, Adam; Dunne, Eoghan; Porter, Emily; O'Halloran, Martin (IEEE, 2018-11-08)
      Urinary incontinence is a common condition that impacts the quality of life from those who suffer from it. Electrical impedance measurements offer the potential for a non-invasive low-cost solution to monitor changes in ...

    • Realistic 3D finite element mesh of the adult human pelvis for electrical impedance tomography 

      Dunne, Eoghan; Porter, Emily; McGinley, Brian; O'Halloran, Martin (Zenodo, 2017-06-21)
      The finite element method is a numerical technique used to solve forward models for electrical impedance tomography. To date, realistic finite element models (FEMs) have been created for the head and thorax, but pelvic ...

    • 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, ...

    • 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 ...

    • Supervised learning classifiers for electrical impedance-based bladder state detection 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O’Halloran, Martin; Porter, Emily (Springer Nature, 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 ...