Seizure Onset Detection based on

Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  • Lin Wang
4. semester , Sundhedsteknologi, Kandidat (Kandidatuddannelse)
The aim of this project is to investigate a visualization methods effects on detecting epilepsy seizure and its spreading. The visualization method, Space-Time-Frequency Energy Distribution map(STFED map), can presents energy's distribution in 4 dimension. In STFED map, the starting and spreading of the seizure is in a cone shape. With thresholding and mathematical morphology, seizure is classified from normal EEG signals and artifacts.

Totally 10 patients and 53 seizures are participated in the study. The proposed method performance is compared to Support Vector Machine(SVM). The proposed method has slightly weaker performance but it is patient non-specific.
SprogEngelsk
Udgivelsesdato3 jun. 2015
Antal sider80
ID: 213571588