Instantaneous brain stroke classification and localization from real scattering data

This work presents a 2-step Learning-by-Examples approach for the real-time classification of hemorrhagic/ischemic brain strokes and their successive localization from microwave scattering data collected around the human head. An experimental assessment against laboratory-controlled data is performed to assess the potentialities of the proposed approach towards a reliable monitoring and instantaneous diagnosis clinic protocol.