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Subcranial Encephalic Temnograph-Shaped Helmet for Brain Stroke Monitoring.

Antonio Cuccaro1, Angela Dell'Aversano2, Bruno Basile3

  • 1Department of Informatics, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, 87036 Rende, Italy.

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Summary

This study presents a wearable microwave imaging system for real-time brain stroke monitoring. The low-cost system uses 16 antennas and advanced algorithms to image small changes, showing potential for post-acute stroke care.

Keywords:
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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Microwave Engineering

Background:

  • Brain stroke monitoring requires advanced imaging techniques for timely intervention.
  • Existing methods may have limitations in real-time, post-acute stage monitoring.
  • Wearable systems offer potential for continuous patient observation.

Purpose of the Study:

  • To develop and validate a wearable microwave imaging system for real-time brain stroke monitoring.
  • To assess the system's capability in detecting small volumetric changes.
  • To evaluate a low-cost, low-complexity imaging architecture.

Main Methods:

  • Utilized a multistatic/multifrequency microwave imaging system with 16 antennas.
  • Employed a pneumatic system for antenna movement and data acquisition.
  • Used phantoms mimicking human head tissues for experimental validation.
  • Applied differential scattering measures and the Incoherent MUSIC algorithm for 3D imaging.

Main Results:

  • The system successfully collected multistatic/multifrequency data.
  • 3D images were generated using differential scattering and the Incoherent MUSIC algorithm.
  • Preliminary results demonstrated reliable detection of targets as small as 16 mL.
  • The system showed potential for monitoring subtle changes in post-acute stroke patients.

Conclusions:

  • The wearable microwave imaging system shows promise for real-time brain stroke monitoring.
  • The low-cost, low-complexity design is suitable for practical applications.
  • The system's ability to detect small volumetric changes is a significant advancement.