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Simulation-based feasibility study of monitoring of intracerebral hemorrhages and detection of secondary hemorrhages using electrical impedance tomography.

Jussi ToivanenAntti PaldaniusBachir DekdoukValentina CandianiAsko HänninenTuomo SavolainenDaniel StrbianNina ForssNuutti HyvönenJari A K HyttinenVille Kolehmainen
Published in: Journal of medical imaging (Bellingham, Wash.) (2024)
Our simulation results from the anatomically detailed head model indicate that EIT equipped with a patient-specific stroke-monitoring algorithm is a promising technology for the unmet clinical need of having a technology for continuous bedside monitoring of brain status of acute stroke patients.
Keyphrases
  • atrial fibrillation
  • deep learning
  • white matter
  • cerebral ischemia
  • resting state
  • drug induced
  • blood brain barrier
  • subarachnoid hemorrhage
  • neural network
  • sensitive detection