Automatic Detection Of Seizure Activity From EEG Recordings Of Genetic Rat Model Of Absence Epilepsy

Küçük Resim Yok

Tarih

2021

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Spike-and-wave discharge is a phenomenon that occurs during absence epilepsy. The detection of these wave-forms can provide an important tool for the different aspects of epilepsy. However, the manual detection of these seizures is not simple as it can take hours to be detected. In this study, we developed a promising tool to detect the spike and wave discharges automatically from a recorded EEG signal depending on the amplitude characteristics and frequency spectrum. The results are promising as the false and missed detection rates are less than 3%, whereas the time overlap between the manually and automatically detected wave-forms is greater than 96%.

Açıklama

29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK

Anahtar Kelimeler

Spike-Wave Discharge, Eeg, Epilepsy, Gaers, Wave Discharges, Spike

Kaynak

29th Ieee Conference On Signal Processing and Communications Applications (Siu 2021)

WoS Q Değeri

N/A

Scopus Q Değeri

Cilt

Sayı

Künye