Diagnosis of epileptic seizure from EEG signals by least squares method En Köçök Kareler Yöntemi ile EEG Sinyallerinden Epileptik Nöbet Teşhisi

ALTINTOP Ç. G., Senturk T., LATİFOĞLU F.

2017 Medical Technologies National Conference, TIPTEKNO 2017, Trabzon, Türkiye, 12 - 14 Ekim 2017, ss.1-4 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/tiptekno.2017.8238062
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-4
  • Galatasaray Üniversitesi Adresli: Hayır

Özet

© 2017 IEEE.Epilepsy is characterized by temporary and unexpected electrical deterioration in brain. EEG is preferred in diagnosis. There are many studies in the literature on EEG signals to differentiate between groups in epileptic and non-epileptic individuals. In this study, EEG signals were examined for predicting seizures for the three pre-, during, and post-seizures. The EEG was filtered by Singular Spectrum Analysis. Then the maximum amplitude wave in the EEG signal is fitted to the exponential curve by the nonlinear Least Squares method. The slope of the exponential curve is obtained as a feature. The obtained feature was examined statistically. As a result, there was a significant difference between the during seizure and postseizure, pre-seziure and post-seizure. There was no difference between pre-seizure and during seizure.