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.
Autori principali: | Karim, Rezwanul, Nitol, Subah, Rahman, Md.Mushfiqur |
---|---|
Altri autori: | Alam, Md.Ashraful |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
BRAC University
2019
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/11442 |
Documenti analoghi
-
Detection and prediction of epileptic seizure using different machine learning classifiers
di: Crystal, Afnan Ahmed, et al.
Pubblicazione: (2023) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
di: Amiz, Asef Hassan, et al.
Pubblicazione: (2021) -
Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
di: Nazim, Tausif, et al.
Pubblicazione: (2021) -
Pharmacological treatment for epileptic seizures
di: Zohora, Umme Fathima Tuz
Pubblicazione: (2024) -
Prediction of Epileptic Seizures using digital signal processing and support vector machine
di: Siddique, Nusayer Masud, et al.
Pubblicazione: (2021)