• DocumentCode
    49398
  • Title

    Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible

  • Author

    Persson, Mats ; Fhager, Andreas ; Trefna, H.D. ; Yinan Yu ; McKelvey, Tomas ; Pegenius, Goran ; Karlsson, Jan-Erik ; Elam, Mikael

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    61
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    2806
  • Lastpage
    2817
  • Abstract
    Here, we present two different brain diagnostic devices based on microwave technology and the associated two first proof-of-principle measurements that show that the systems can differentiate hemorrhagic from ischemic stroke in acute stroke patients, as well as differentiate hemorrhagic patients from healthy volunteers. The system was based on microwave scattering measurements with an antenna system worn on the head. Measurement data were analyzed with a machine-learning algorithm that is based on training using data from patients with a known condition. Computer tomography images were used as reference. The detection methodology was evaluated with the leave-one-out validation method combined with a Monte Carlo-based bootstrap step. The clinical motivation for this project is that ischemic stroke patients may receive acute thrombolytic treatment at hospitals, dramatically reducing or abolishing symptoms. A microwave system is suitable for prehospital use, and therefore has the potential to allow significantly earlier diagnosis and treatment than today.
  • Keywords
    Monte Carlo methods; biomedical equipment; brain; computerised tomography; learning (artificial intelligence); medical disorders; medical image processing; microwave imaging; neurophysiology; patient treatment; Monte Carlo-based bootstrap step; acute stroke patients; acute thrombolytic treatment; antenna system; brain diagnostic devices; computer tomography imaging; detection methodology; global prehospital thrombolytic treatment; healthy volunteers; hemorrhagic patients; ischemic stroke patients; leave-one-out validation method; machine-learning algorithm; measurement data; microwave scattering measurements; microwave technology; microwave-based stroke diagnosis; proof-of-principle measurements; Antenna measurements; Antennas; Biomedical measurement; Frequency measurement; Hemorrhaging; Microwave measurement; Microwave theory and techniques; Microwave system; stroke diagnostics; subspace distance classification;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2014.2330554
  • Filename
    6832574