Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Auteurs principaux: | Karim, Rezwanul, Nitol, Subah, Rahman, Md.Mushfiqur |
---|---|
Autres auteurs: | Alam, Md.Ashraful |
Format: | Thèse |
Langue: | English |
Publié: |
BRAC University
2019
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/11442 |
Documents similaires
-
Detection and prediction of epileptic seizure using different machine learning classifiers
par: Crystal, Afnan Ahmed, et autres
Publié: (2023) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
par: Amiz, Asef Hassan, et autres
Publié: (2021) -
Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
par: Nazim, Tausif, et autres
Publié: (2021) -
Pharmacological treatment for epileptic seizures
par: Zohora, Umme Fathima Tuz
Publié: (2024) -
Prediction of Epileptic Seizures using digital signal processing and support vector machine
par: Siddique, Nusayer Masud, et autres
Publié: (2021)