Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques
Electroencephalography is the recording of brain electrical activities that can be used to diagnose brain seizure disorders. By identifying brain activity patterns and their correspondence between symptoms and diseases, it is possible to give an accurate diagnosis and appropriate drug therapy to pat...
Main Author: | Rekha Sahu, Satya Ranjan Dash, Lleuvelyn A Cacha, Roman R Poznanski, Shantipriya Parida |
---|---|
Format: | Article |
Language: | English |
Published: |
IMR (Innovative Medical Research) Press Limited
2020-03-01
|
Series: | Journal of Integrative Neuroscience |
Subjects: | |
Online Access: | https://jin.imrpress.com/fileup/1757-448X/PDF/1585708657775-85977415.pdf |
Similar Items
-
Epileptic Seizures Prediction Using Deep Learning Techniques
by: Syed Muhammad Usman, et al.
Published: (2020-01-01) -
Epileptic Seizure Forecasting With Generative Adversarial Networks
by: Nhan Duy Truong, et al.
Published: (2019-01-01) -
A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data
by: Md. Rashed-Al-Mahfuz, et al.
Published: (2021-01-01) -
Epileptic seizure: always trouble or sometimes deliverance?
by: V. A. Karlov
Published: (2020-07-01) -
Automated Epileptic Seizure Onset Detection
by: Dorai, Arvind
Published: (2009)