Epilepsy diagnosis from scalp EEG : a machine learning approach
Epilepsy refers to a group of chronic brain disorders characterized by recurrent unprovoked seizures. Interictal Epileptiform Discharges (IEDs) are distinctive biomarkers of epilepsy. According to the International Federation of Societies for Electroencephalography and Clinical Neurophysiology (IFSE...
Saved in:
主要作者: | Thomas, John |
---|---|
其他作者: | Justin Dauwels |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2019
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/93579 http://hdl.handle.net/10220/49935 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Machine learning methods for diagnosis of epilepsy from EEG
由: Roshini, Koppala
出版: (2018) -
Machine learning algorithms for diagnosis of epilepsy from EEG
由: Thangavel, Prasanth
出版: (2022) -
Deep learning methods for diagnosis of epilepsy from EEG using convolutional neural networks
由: Du, Cuiqianhe
出版: (2018) -
Automated detection of interictal epileptiform discharges in scalp electroencephalogram of patients with epilepsy
由: Bagheri, Elham
出版: (2019) -
EEG signal processing for automated epilepsy detection
由: Sridharan Srividya
出版: (2018)