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...

Full description

Bibliographic Details
Main Authors: Mahfuzah, Mustafa, Mohd Nasir, Taib, Zunairah, Murat, Norizam, Sulaiman, Siti Armiza, Mohd Aris
Format: Article
Language:English
Published: 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: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

Similar Items

Similar Items