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.
Huvudupphovsmän: | Nazim, Tausif, Abid, MD. Bakhtiar, Mamun, Jahid Hasan |
---|---|
Övriga upphovsmän: | Parvez, Mohammad Zavid |
Materialtyp: | Lärdomsprov |
Språk: | en_US |
Publicerad: |
Brac University
2021
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/14335 |
Liknande verk
-
Pharmacological treatment for epileptic seizures
av: Zohora, Umme Fathima Tuz
Publicerad: (2024) -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
av: Karim, Rezwanul, et al.
Publicerad: (2019) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
av: Amiz, Asef Hassan, et al.
Publicerad: (2021) -
Detection and prediction of epileptic seizure using different machine learning classifiers
av: Crystal, Afnan Ahmed, et al.
Publicerad: (2023) -
Epileptic seizure prediction using bandpass filtering and convolutional neural network
av: Rahman, Tasnia, et al.
Publicerad: (2022)