| Autor: |
Okan Yalçin, Evren Degirmenci, Cansu Gelgec, Zulal Kizilaslan, Özge Çekirge, Ulku Comelekoglu |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
2017 21st National Biomedical Engineering Meeting (BIYOMUT). |
| DOI: |
10.1109/biyomut.2017.8479152 |
| Popis: |
Proper diagnosis and treatment of epilepsy is a major public health problem. Patients suffering from this disease exhibit different physical characteristics due to a group of synchronic and hyperdischarged neurons in the cerebral cortex. Retrieving this information from electroencephalography (EEG) signals is one of the most important topics of biomedical signal processing. EEG signals are low-amplitude electrical signals received by the electrodes from the head surface. EEG is becoming more commonly and effectively used technique in clinical practice, and it maintains its importance for the diagnosis of epilepsy and the planning of treatment. In this study, temporal changes in dynamic characteristics of the brain in epileptic patients with seizures were investigated using wavelet transform. EEG records of 7 epilepsy patients from the MIT EEG database were used in the study. The statistical analyzes showed that there were significant differences in the pre-seizure (NO) and post-seizure (NS) periods among the energies of the four basic EEG waves called alpha, beta, theta (p |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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