Machine learning methods for diagnosis of epilepsy from EEG
Epilepsy is a neurological disorder presented with unpredicted and repeated seizures due to abnormal electrical activity in the brain. They can be diagnosed by analysing the electroencephalogram (EEG), which shows spikes when there is epileptic activity. The aim of this dissertation; “MACHINE LEA...
Main Author: | Roshini, Koppala |
---|---|
Other Authors: | Justin Dauwels |
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/76334 |
Similar Items
-
Machine learning algorithms for diagnosis of epilepsy from EEG
by: Thangavel, Prasanth
Published: (2022) -
Epilepsy diagnosis from scalp EEG : a machine learning approach
by: Thomas, John
Published: (2019) -
Deep learning methods for diagnosis of epilepsy from EEG using convolutional neural networks
by: Du, Cuiqianhe
Published: (2018) -
Deep learning methods for diagnosis of epilepsy from electroencephalograms
by: Peh, Wei Yan
Published: (2023) -
EEG signal processing for automated epilepsy detection
by: Sridharan Srividya
Published: (2018)