Evolutionary coherence on EEG signals for epileptic seizure detection
Electroencephalogram (EEG) signal for epileptic seizure is nonstationary by nature. The onset of epileptic seizure is determined by the increase in synchronicity of firing neurons, and the spreading of epileptic seizure could be traced with investigating on the evolution of synchronicity across chan...
Saved in:
主要作者: | Tay, Yu Cheng |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2017
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/79558/1/TayYuChengMFBME2017.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Spatial analysis of signal during epileptic seizure on plat electroencephalography
由: Goh, Chien Yong
出版: (2017) -
Krohn-Rhodes decomposition for electroencephalography signals during epileptic seizure
由: Mubarak Binjadhnan, Faisal Abdurabu
出版: (2011) -
Jordan-chevalley decomposition of recorded electroencephalography signals during epileptic seizures
由: Ahmad Fuad, Amirul Aizad
出版: (2021) -
State-space modeling and estimation for multivariate brain signals
由: Samdin, Siti Balqis
出版: (2017) -
An Enhanced Wavelet Neural Network Model For Epileptic Seizure Detection And Prediction
由: Lai , Kee Huong
出版: (2016)