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...
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 |
Similar Items
-
EEG sub-band frequency analysis of spectrogram image for balanced brainwave and IQ applications / Mahfuzah Mustafa
by: Mustafa, Mahfuzah
Published: (2014) -
Eeg sub-band frequency analysis of spectrogram image for balanced brainwave and iq applications
by: Mahfuzah, Mustafa
Published: (2014) -
Classification of EEG spectrogram image with ANN approach for brainwave balancing application
by: Mahfuzah, Mustafa, et al.
Published: (2011) -
Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013) -
EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)