Discrimination of Ischemic and Hemorrhagic Acute Strokes Based on Equivalent Brain Dipole Estimated by Inverse EEG

  • Georgia Theodosiadou
  • Ilias Aitidis
  • Charitomeni Piperidou
  • George KyriacouEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)


A discrimination between the two different types of acute stroke (ischemic and hemorrhagic) is accomplished by the implementation of both the Inverse problem of electroencephalography technic and the method of Principal Components Analysis (PCA). The study was based on electroencephalograms (EEGs) recorded from patients that had suffered from stokes. The brain activity was simulated with a realistic head model excited by an electric dipole, which in the present work was allowed only to rotate about a fixed origin. Combining the calculated surface potentials of the head model and the electroencephalography (EEG) recordings, the inverse problem algorithm converged to a solution giving an equivalent dipole that included all the information needed to distinguish each type of stroke. Alternatively, PCA technic was implemented directly on the EEG recordings in order to reveal potentialy hidden patterns underlying the recordings. For this purpose, the corresponding techniques developed within our previous work, are exploited herein for the processing of patients’ EEGs. It is observed that indeed both equivalent dipole and PCA or its alternative Proper Orthogonal Decomposition (POD) approaches were able to discriminate the two types of stroke.


Electroencephalography Strokes Inverse problem Principal Components Analysis (PCA) Proper Orthogonal Decomposition (POD) 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Georgia Theodosiadou
    • 1
  • Ilias Aitidis
    • 1
  • Charitomeni Piperidou
    • 2
  • George Kyriacou
    • 1
    Email author
  1. 1.Department of Electrical and Computer EngineeringDemocritus University of ThraceXanthiGreece
  2. 2.Department of MedicineDemocritus University of ThraceAlexandroupoliGreece

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