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.

Bibliografiske detaljer
Main Authors:	Karim, Rezwanul, Nitol, Subah, Rahman, Md.Mushfiqur
Andre forfattere:	Alam, Md.Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2019
Fag:	EEG Epilepsy Seizure SVM STFT PWD Machine leaning
Online adgang:	http://hdl.handle.net/10361/11442

Lignende værker

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Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
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Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
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Udgivet: (2021)

Pharmacological treatment for epileptic seizures
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Udgivet: (2024)

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

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

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

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

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

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

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

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

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

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
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Udgivet: (2020)

Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
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Udgivet: (2021)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
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Udgivet: (2020)

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

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

Stress detection for visually impaired people using EEG signals based on extracted features from time-frequency domain
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Udgivet: (2023)

Emotion detection using EEG signals
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Udgivet: (2021)

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

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

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

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

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

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

Risk management in procurement of construction project- a context of PWD
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Udgivet: (2018)

Beyond words: an exploration of free-hand sketches and EEG-based neurobiological signatures to unveil the underlying depression among cancer patients
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Udgivet: (2023)

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

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

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

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

Seizure /
af: Cook, Robin
Udgivet: (2003)

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

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

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

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

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

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

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