EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa

This thesis introduces new methods in analyzing Electroencephalogram (EEG) signal by utilizing EEG spectrogram image and image processing texture analysis called Gray-level Co-occurrence Matrices (GLCM). The methods attempt to apply in balanced brain and Intelligence Quotient (IQ) applications. The...

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Main Author: Mustafa, Mahfuzah
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2015
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/19226/
http://ir.uitm.edu.my/id/eprint/19226/1/ABS_MAHFUZAH%20MUSTAFA%20TDRA%20VOL%207%20IGS%2015.pdf
id uitm-19226
recordtype eprints
spelling uitm-192262018-06-12T06:58:32Z http://ir.uitm.edu.my/id/eprint/19226/ EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa Mustafa, Mahfuzah Malaysia This thesis introduces new methods in analyzing Electroencephalogram (EEG) signal by utilizing EEG spectrogram image and image processing texture analysis called Gray-level Co-occurrence Matrices (GLCM). The methods attempt to apply in balanced brain and Intelligence Quotient (IQ) applications. The relationship between balanced brain and IQ application also proposed in this thesis. Collection of EEG signals were recorded from 101 volunteers. EEG signals recorded for the balanced brain application contain closed eyes state meanwhile for the IQ application contains closed eyes and opened eyes state. Before processing the information from the EEG signals, signal preprocessing is done to remove artefacts and unwanted signal frequencies. A time-frequency based technique called EEG spectrogram image was used to generate an image from EEG signal. The spectrogram image was produced for each EEG signals sub-band frequency Delta, Theta, Alpha and Beta. The GLCM texture analysis derives features from EEG spectrogram image… Institute of Graduate Studies, UiTM 2015 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19226/1/ABS_MAHFUZAH%20MUSTAFA%20TDRA%20VOL%207%20IGS%2015.pdf Mustafa, Mahfuzah (2015) EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 7 (7). Institute of Graduate Studies, UiTM.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Malaysia
spellingShingle Malaysia
Mustafa, Mahfuzah
EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
description This thesis introduces new methods in analyzing Electroencephalogram (EEG) signal by utilizing EEG spectrogram image and image processing texture analysis called Gray-level Co-occurrence Matrices (GLCM). The methods attempt to apply in balanced brain and Intelligence Quotient (IQ) applications. The relationship between balanced brain and IQ application also proposed in this thesis. Collection of EEG signals were recorded from 101 volunteers. EEG signals recorded for the balanced brain application contain closed eyes state meanwhile for the IQ application contains closed eyes and opened eyes state. Before processing the information from the EEG signals, signal preprocessing is done to remove artefacts and unwanted signal frequencies. A time-frequency based technique called EEG spectrogram image was used to generate an image from EEG signal. The spectrogram image was produced for each EEG signals sub-band frequency Delta, Theta, Alpha and Beta. The GLCM texture analysis derives features from EEG spectrogram image…
format Book Section
author Mustafa, Mahfuzah
author_facet Mustafa, Mahfuzah
author_sort Mustafa, Mahfuzah
title EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
title_short EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
title_full EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
title_fullStr EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
title_full_unstemmed EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
title_sort eeg sub-band frequency analysis of spectrogram image for balanced brainwave and iq applications / mahfuzah mustafa
publisher Institute of Graduate Studies, UiTM
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/19226/
http://ir.uitm.edu.my/id/eprint/19226/1/ABS_MAHFUZAH%20MUSTAFA%20TDRA%20VOL%207%20IGS%2015.pdf
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