Alcoholism Detection in EEG Signals using GLCM-Based Texture Analysis of Image-Converted Signals-Reference-Cited by-同舟云学术

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Alcoholism Detection in EEG Signals using GLCM-Based Texture Analysis of Image-Converted Signals

Published:2023-11-10 Issue: Volume:25 Page:275-279
ISSN:
Container-title:2023 6th International Conference on Information and Communications Technology (ICOIACT)
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Author:

Rizal Achmad¹,Wijayanto Inung¹,Istiqomah Istiqomah¹

Affiliation:

1. Telkom University,School of Electrical Engineering),Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455094/10454143/10455889.pdf?arnumber=10455889

Reference31 articles.

1. Global status report on alcohol and health 2018,2018

2. Efficient method for classification of alcoholic and normal EEG signals using EMD

3. fMRI Measurement of Brain Dysfunction in Alcohol-Dependent Young Women

4. Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks

5. Patterns of alcohol consumption among people with major chronic diseases;Pham;Australian Journal of Primary Health,2019

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