Discrimination of Ischemic and Hemorrhagic Acute Strokes Based on Equivalent Brain Dipole Estimated by Inverse EEG
| Autor: | Georgia Theodosiadou, Charitomeni Piperidou, Ilias Aitidis, George A. Kyriacou |
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| Rok vydání: | 2016 |
| Předmět: |
Quantitative Biology::Neurons and Cognition
medicine.diagnostic_test Brain activity and meditation business.industry Speech recognition Physics::Medical Physics Inverse 020206 networking & telecommunications Pattern recognition 02 engineering and technology Electroencephalography Inverse problem medicine.disease 03 medical and health sciences Dipole 0302 clinical medicine Equivalent dipole Principal component analysis 0202 electrical engineering electronic engineering information engineering medicine Artificial intelligence business Stroke 030217 neurology & neurosurgery |
| Zdroj: | XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 ISBN: 9783319327013 |
| DOI: | 10.1007/978-3-319-32703-7_3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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