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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/8402/ http://umpir.ump.edu.my/id/eprint/8402/ http://umpir.ump.edu.my/id/eprint/8402/ http://umpir.ump.edu.my/id/eprint/8402/1/Classification_of_EEG_Spectrogram_Image_with_ANN_approach_for_Brainwave_Balancing_Application.pdf |