Detection and prediction of epileptic seizure using different machine learning classifiers

Detection and prediction of epileptic seizure using different machine learning classifiers

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografiset tiedot
Päätekijät:	Crystal, Afnan Ahmed, Tasnim, Nuna, Jamal, Subha Sumaiya B, Rahman, Md. Ashikur
Muut tekijät:	Chakrabarty, Amitabha
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	EEG Epilepsy Seizure Feature extraction Classification PCA Traumatic epilepsy Electroencephalography
Linkit:	http://hdl.handle.net/10361/21790

Samankaltaisia teoksia

Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
Tekijä: Karim, Rezwanul, et al.
Julkaistu: (2019)

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

Pharmacological treatment for epileptic seizures
Tekijä: Zohora, Umme Fathima Tuz
Julkaistu: (2024)

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

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

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

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

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

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

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

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

Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
Tekijä: Khan, Akif Ahmed, et al.
Julkaistu: (2020)

Heartbeat sound feature extraction and classification
Tekijä: Bibrity, Fariha Chowdhury, et al.
Julkaistu: (2020)

A review on optogenetics and its potential in neurological disorder management
Tekijä: Armin, Fariza
Julkaistu: (2024)

Music genre classification with convolutional neural network
Tekijä: Chowdhury, Masud, et al.
Julkaistu: (2022)

Gene classification and pattern analysis using data mining and machine learning techniques
Tekijä: Ramisa, Aiman Jabeen, et al.
Julkaistu: (2021)

Clustering and detection of good and bad rail line anchors from images
Tekijä: Islam, Samiul, et al.
Julkaistu: (2017)

A new feature extraction technique for person identification
Tekijä: Muazzam, Shakib, et al.
Julkaistu: (2017)

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

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
Tekijä: Uddin, Mohammad Sakib, et al.
Julkaistu: (2024)

Classification of music based on correlation between mood, linguistic and audio features
Tekijä: Sobhan, Md. Mashrur Bari
Julkaistu: (2018)

Text classification using machine learning algorithms
Tekijä: Hasnat, Fahim, et al.
Julkaistu: (2018)

A novel parallel texture feature extraction method using log-gabor filter and singular value decomposition (SVD)
Tekijä: Ratul, Md Aminur Rab, et al.
Julkaistu: (2018)

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

A framework for sentiment analysis: a data-driven approach
Tekijä: Islam, Md. Jahedul, et al.
Julkaistu: (2021)

Flight fare prediction using machine learning
Tekijä: Noyon, Md. Shaim Hosan, et al.
Julkaistu: (2024)

Email classification and meeting scheduling using classifier algorithm
Tekijä: Khan, Behroz Newaz, et al.
Julkaistu: (2017)

A voice signal based gender prediction model using random forest classifier
Tekijä: Ahmed, Saif, et al.
Julkaistu: (2018)

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
Tekijä: Islam, Md. Tahmidul, et al.
Julkaistu: (2023)

Sound classification using deep learning for hard of hearing and deaf people
Tekijä: Habib, Md.Adnan, et al.
Julkaistu: (2022)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
Tekijä: Nirjhor, S M Mahsanul Islam, et al.
Julkaistu: (2019)

Breast cancer prediction using different machine learning models
Tekijä: Khandker Al- Muhaimin, et al.
Julkaistu: (2020)

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

Unfinished processes: Acting out trauma and working through postmemory
Tekijä: Kaiissar, Jahin
Julkaistu: (2021)

Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms
Tekijä: Saquib, Nazmus, et al.
Julkaistu: (2021)

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction
Tekijä: Khan, Rubayat Ahmed
Julkaistu: (2022)

Fake currency detection using image processing method
Tekijä: Alimushwan, Munshi Md., et al.
Julkaistu: (2017)

Prediction of diabetes induced complications using different machine learning algorithms
Tekijä: Rahman, Tahsinur, et al.
Julkaistu: (2018)

Emotion detection from frontal facial image
Tekijä: Hussain, Sakib
Julkaistu: (2014)

Human identification using dental radiograph
Tekijä: Fahad, Salem Quddus, et al.
Julkaistu: (2018)