EEG signals analysis for motor imagery brain computer interface

EEG signals analysis for motor imagery brain computer interface

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiske detaljer
Main Authors:	Rahman, La z Maruf, Alam, Zawad, Rahman, Md. Musta-E-Nur
Andre forfattere:	Parvez, Mohammad Zavid
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2019
Fag:	EEG BCI MI SVM ANN Signal processing Brain-computer interfaces Human-computer interaction Computational intelligence
Online adgang:	http://hdl.handle.net/10361/12780

Lignende værker

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Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
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Emotion recognition using EEG signal and deep learning approach
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Exploring cognitive load and emotional states for the visually impaired
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Cognitive efficiency in robot control by Emotiv EPOC
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Development of a Brain-Computer Interface (BCI) for person with disabilities to control their wheelchair using brain waves along with health monitoring system
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Udgivet: (2024)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
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Udgivet: (2021)

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Udgivet: (2023)

Electroencephalography based brain controlled grasp and lift
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Udgivet: (2022)

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

Brain-Gain in Bangladesh: What makes it possible?
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Udgivet: (2016)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
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Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
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Investigating music algorithm in neural information processing: robust feature extraction for emotional state classification from multichannel EEG signals
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Emotion detection using EEG signals
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Microprocessors and interfacing : programming and hardware /
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Examination of huntington’s disease with atypical clinical features in a Bangladeshi family tree and study of association of miRNAs expression level with the diseased condition
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Decoding the functional roles of intronic microRNA miR-2355 and its host gene KLF7 in immunobiology of cervical cancer
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Detecting brain tumor using deep neural networks from MRI images
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Imaging Brain Function With EEG
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Udgivet: (2013)

Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
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Udgivet: (2021)

Bangladesh lists 3,723 RMG factories on MiB website: MiB project is being implemented by Centre for Entrepreneurship Development (CED) of Brac University (BracU), funded by Laudes Foundation and the Kingdom of the Netherlands, and being coordinated by BRAC
af: TBS Report
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