Now showing items 1-2 of 2

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

      McDermott, Barry; O'Halloran, Martin; Santorelli, Adam; McGinley, Brian; Porter, Emily (EIT2018, 2018-06-11)
      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 ...
    • 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 ...