Classification of electrographic seizures using deep learning approach
Seizures are referred to as a type of neurological disorder which is described as an unexpected, unvoluntary electrical disturbance in neurons of the brain cells resulting in the uncontrolled changes in the behavior, physical movements, feeling and consciousness level of patients. As neurologists cl...
Main Author: | Bhowmik, Kaushik |
---|---|
Other Authors: | Justin Dauwels |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136499 |
Similar Items
-
Classification of different type of seizure using machine learning approach
by: Low, Li Yian
Published: (2019) -
Motive classification using deep learning approaches
by: Xu, Jiahao
Published: (2019) -
AI radar (object classification using deep learning)
by: Li, Jianhui
Published: (2022) -
Multi-class classification using deeping learning
by: Bo, Hu
Published: (2019) -
Deep learning for communication signal classification
by: Lim, Wycliff Wei Zhi
Published: (2022)