Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Main Authors: | Nazim, Tausif, Abid, MD. Bakhtiar, Mamun, Jahid Hasan |
---|---|
Other Authors: | Parvez, Mohammad Zavid |
Format: | Thesis |
Language: | en_US |
Published: |
Brac University
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10361/14335 |
Similar Items
-
Pharmacological treatment for epileptic seizures
by: Zohora, Umme Fathima Tuz
Published: (2024) -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
by: Karim, Rezwanul, et al.
Published: (2019) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
by: Amiz, Asef Hassan, et al.
Published: (2021) -
Detection and prediction of epileptic seizure using different machine learning classifiers
by: Crystal, Afnan Ahmed, et al.
Published: (2023) -
Epileptic seizure prediction using bandpass filtering and convolutional neural network
by: Rahman, Tasnia, et al.
Published: (2022)