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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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2015
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| Online Access: | https://ir.uitm.edu.my/id/eprint/19226/ |
| _version_ | 1848804714134634496 |
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| author | Mustafa, Mahfuzah |
| author_facet | Mustafa, Mahfuzah |
| author_sort | Mustafa, Mahfuzah |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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… |
| first_indexed | 2025-11-14T21:59:31Z |
| format | Book Section |
| id | uitm-19226 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:59:31Z |
| publishDate | 2015 |
| publisher | Institute of Graduate Studies, UiTM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-192262018-06-12T06:58:32Z https://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 https://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. (2015) In: The Doctoral Research Abstracts. IPSis Biannual Publication, 7 (7). Institute of Graduate Studies, UiTM. |
| spellingShingle | Malaysia Mustafa, Mahfuzah EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa |
| title | 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_short | 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 |
| topic | Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/19226/ |