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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English |
| 出版: |
2014
|
| 主題: | |
| 在線閱讀: | http://umpir.ump.edu.my/id/eprint/12083/1/MAHFUZAH%20BINTI%20MUSTAFA.PDF |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|