Now showing items 1-4 of 4

    • Optimised analytical models of the dielectric properties of biological tissue 

      Salahuddin, Saqib; Porter, Emily; Krewer, Finn; O’Halloran, Martin (Elsevier, 2017-02-09)
      The interaction of electromagnetic fields with the human body is quantified by the dielectric properties of biological tissues. These properties are incorporated into complex numerical simulations using parametric models ...
    • Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations 

      Elahi, Muhammad Adnan; Curtis, C.; Lavoie, B.R.; Glavin, Martin; Jones, Edward; Fear, E.; O’Halloran, Martin (Elsevier, 2017-03-02)
      Microwave imaging is a promising imaging modality for the detection of early-stage breast cancer. One of the most important signal processing components of microwave radar-based breast imaging is early stage artifact ...
    • 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 ...
    • Technological requirements for microwave ablation of adrenal masses 

      Fallahi, Hojjatollah; Shahzad, Atif; Clausing, Daniel; O’Halloran, Martin; Dennedy, Michael Conall; Prakash, Punit (IEEE, 2017)
      Microwave thermal ablation is under consideration for minimally invasive treatment of bilateral adrenal adenomas, symptomatic of Conn's syndrome. Currently available microwave technologies are ill-suited to precise ablation ...