Prediction of Epileptic Seizures using digital signal processing and support vector machine
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Egile Nagusiak: | Siddique, Nusayer Masud, Sayeed, Samee Mohammad, Ahmed, Zaziba, Ahmad, Shaikh Rezwan Rafid |
---|---|
Beste egile batzuk: | Parvez, Mohammad Zavid |
Formatua: | Thesis |
Hizkuntza: | en_US |
Argitaratua: |
Brac University
2021
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/14458 |
Antzeko izenburuak
-
Detection and prediction of epileptic seizure using different machine learning classifiers
nork: Crystal, Afnan Ahmed, et al.
Argitaratua: (2023) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
nork: Amiz, Asef Hassan, et al.
Argitaratua: (2021) -
Pharmacological treatment for epileptic seizures
nork: Zohora, Umme Fathima Tuz
Argitaratua: (2024) -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
nork: Karim, Rezwanul, et al.
Argitaratua: (2019) -
Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
nork: Nazim, Tausif, et al.
Argitaratua: (2021)