Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches

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.

Bibliographische Detailangaben
Hauptverfasser:	Karim, Rezwanul, Nitol, Subah, Rahman, Md.Mushfiqur
Weitere Verfasser:	Alam, Md.Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	BRAC University 2019
Schlagworte:	EEG Epilepsy Seizure SVM STFT PWD Machine leaning
Online Zugang:	http://hdl.handle.net/10361/11442

Ähnliche Einträge

Detection and prediction of epileptic seizure using different machine learning classifiers
von: Crystal, Afnan Ahmed, et al.
Veröffentlicht: (2023)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
von: Amiz, Asef Hassan, et al.
Veröffentlicht: (2021)

Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
von: Nazim, Tausif, et al.
Veröffentlicht: (2021)

Pharmacological treatment for epileptic seizures
von: Zohora, Umme Fathima Tuz
Veröffentlicht: (2024)

Prediction of Epileptic Seizures using digital signal processing and support vector machine
von: Siddique, Nusayer Masud, et al.
Veröffentlicht: (2021)

Epileptic seizure prediction using bandpass filtering and convolutional neural network
von: Rahman, Tasnia, et al.
Veröffentlicht: (2022)

Predicting epileptic seizure from Electroencephalography (EEG) using hilbert huang transformation and neural network
von: Rahman, Md. Oliur, et al.
Veröffentlicht: (2015)

Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
von: Uddin, Md.Tousif, et al.
Veröffentlicht: (2021)

A review on the use of Ganaxolone in the treatment of Epilepsy
von: Ghosh, Dibbo Protim
Veröffentlicht: (2024)

An approach to detect epileptic seizure using XAI and machine learning
von: Bijoy, Emam Hasan, et al.
Veröffentlicht: (2022)

Detection of mind wandering using EEG signals
von: Tasika, Nadia Jebin, et al.
Veröffentlicht: (2020)

EEG signals analysis for motor imagery brain computer interface
von: Rahman, La z Maruf, et al.
Veröffentlicht: (2019)

DWT based transformed domain feature extraction approach for epileptic seizure detection
von: Mostafa, Mahajabin, et al.
Veröffentlicht: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
von: Neehal, Ahmed Hasin, et al.
Veröffentlicht: (2020)

Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
von: Islam, Mohammad Waseq ul, et al.
Veröffentlicht: (2021)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
von: Amin, Chowdhury Rabith, et al.
Veröffentlicht: (2020)

Exploring cognitive load and emotional states for the visually impaired
von: Afroz, Sharmin, et al.
Veröffentlicht: (2019)

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
von: Saleque, Shahriar, et al.
Veröffentlicht: (2021)

Stress detection for visually impaired people using EEG signals based on extracted features from time-frequency domain
von: Sultana, Samia
Veröffentlicht: (2023)

Emotion detection using EEG signals
von: Hossain, Mohammad Adnan
Veröffentlicht: (2021)

Seasonal migration of labor in the autumn lean period: Evidence from Kurigram district, Bangladesh
von: Shahriar, Abu Zafar Md, et al.
Veröffentlicht: (2010)

A review on underlying causes and therapies related to Epilepsy
von: Sonia, Saima Akter
Veröffentlicht: (2023)

Challenges in implementing the Electronic Government Procurement (e-GP) in Public Works Department (PWD)
von: Mahmud, Tasnuva
Veröffentlicht: (2018)

Application of machine learning in attentiveness detection from EEG signal
von: Ridi, Sadia Sobhana, et al.
Veröffentlicht: (2023)

Emotion recognition using EEG signal and deep learning approach
von: Islam, Sayedi Hassan Bin, et al.
Veröffentlicht: (2019)

An evaluation of project management processes in public sector organizations like Public Works Department (PWD)
von: Mouri, Hafsa Rahman
Veröffentlicht: (2018)

Risk management in procurement of construction project- a context of PWD
von: Kalam, Md. Imran Bin
Veröffentlicht: (2018)

Beyond words: an exploration of free-hand sketches and EEG-based neurobiological signatures to unveil the underlying depression among cancer patients
von: Miami, Anika Tahsin, et al.
Veröffentlicht: (2023)

The prospects and challenges of E- Government Procurement (E-GP) in Bangladesh- a case study on Public Works Department (PWD).
von: Hossain, Sazzad
Veröffentlicht: (2018)

Preliminary design concept for startups: minimum viable user experience
von: Haque, Tanzimul, et al.
Veröffentlicht: (2023)

An evaluation of the determinants of project success in Public Works Department (PWD)
von: Rahman, Muhammad Adnan
Veröffentlicht: (2021)

Urban mobility & inequality in public services in Dhaka city: An analysis of accessibility of transportation for people with disabilities (Pwds)
von: Nahar, Noor-E-Fayzun
Veröffentlicht: (2020)

Seizure /
von: Cook, Robin
Veröffentlicht: (2003)

Predicting brain age from EEG signals using machine learning and neural network
von: Pratanu, Abul Mushfique Muslah, et al.
Veröffentlicht: (2023)

Addressing the impacts of waste on overall project performance: a study of applying lean construction principle in Public Works Department (PWB), Bangladesh
von: Uddin, Abid Moin
Veröffentlicht: (2019)

Factor analysis of ad liking and prediction of purchase intent through emotionomics
von: Toma, Syeda Tanzina Farhin, et al.
Veröffentlicht: (2020)

An evaluation of the determinants of project success in public works department (PWD)
von: Rahman, Muhammad Adnan
Veröffentlicht: (2018)

Aﬀective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
von: khan, Md. Sakib, et al.
Veröffentlicht: (2021)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
von: Tanvir, Farhan, et al.
Veröffentlicht: (2024)

Cognitive efficiency in robot control by Emotiv EPOC
von: Chowdhury, Pritom, et al.
Veröffentlicht: (2016)