Recent Submissions

  • Bi-Frequency Symmetry Difference (BFSD) EIT in stroke diagnosis 

    McDermott, Barry; O'Halloran, Martin; Porter, Emily (EIT2019, 2019-07-01)
    BFSD-EIT can detect deviations in the inherent normal symmetry of the head due to, for example, the presence of a bleed or clot in stroke. We assess the potential of BFSD-EIT to robustly detect lesions under a series of ...
  • Brain haemorrhage detection through SVM classification of impedance measurements 

    McDermott, Barry; O'Halloran, Martin; Porter, Emily; Santorelli, Adam (NUI Galway, 2018-07-17)
    Machine Learning is becoming increasingly important in interpreting biological signals. In this work, we examine the potential for classification in brain haemorrhage detection. Numerical head and brain models with and ...
  • Static lesion detection in symmetric scenes using dual-frequency electrical impedance tomography 

    McDermott, Barry; O'Halloran, Martin; Porter, Emily (NUI Galway, 2019-01-18)
    Tissues have characteristic frequency dependent impendence to electrical current. This property is exploited by Electrical Impedance Tomography (EIT), an emerging biomedical imaging technique. In EIT, electrical conductivity ...
  • 3D printable solid tissue-mimicking material for microwave phantoms 

    McDermott, Barry; Porter, Emily; O’Halloran, Martin; Poudel, Anup; Biggs, Manus; Karode, Nireeksha S.; Coffey, Austin B. (IEEE, 2018-09-10)
    Phantoms provide valuable platforms for testing of medical devices including microwave diagnostic systems. This work describes a 3D printable solid tissue-mimicking material (TMM) for the production of such phantoms. The ...