Eeg sub-band frequency analysis of spectrogram image for balanced brainwave and iq applications
This thesis introduces new methods in analyzing Electroencephalogram (EEG) signal by utilizing EEG spectrogram image and image processing texture analysis called Graylevel Co-occurrence Matrices (GLCM). The methods attempt to apply in balanced brain and Intelligence Quotient (IQ) applications. The r...
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/12083/1/MAHFUZAH%20BINTI%20MUSTAFA.PDF |