Classification of EEG spectrogram image with ANN approach for brainwave balancing application

Classification of EEG spectrogram image with ANN approach for brainwave balancing application

In this paper, an Artificial Neural Network (ANN) algorithm for classifying the EEG spectrogram images in brainwave is presented. Gray Level Co-occurrence Matrix (GLCM) texture feature from the EEG spectrogram images have been used as input to the system. The GLCM texture feature produced large dime...

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Detaylı Bibliyografya
Asıl Yazarlar: Mahfuzah, Mustafa, Mohd Nasir, Taib, Zunairah, Murat, Norizam, Sulaiman, Siti Armiza, Mohd Aris
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: 2011
Konular:
TK Electrical engineering. Electronics Nuclear engineering
Online Erişim:http://umpir.ump.edu.my/id/eprint/8402/1/Classification_of_EEG_Spectrogram_Image_with_ANN_approach_for_Brainwave_Balancing_Application.pdf

Internet

http://umpir.ump.edu.my/id/eprint/8402/1/Classification_of_EEG_Spectrogram_Image_with_ANN_approach_for_Brainwave_Balancing_Application.pdf

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