Complexity Analysis of EEG in Patients With Social Anxiety Disorder Using Fuzzy Entropy and Machine Learning Techniques-Reference-Cited by-同舟云学术

Complexity Analysis of EEG in Patients With Social Anxiety Disorder Using Fuzzy Entropy and Machine Learning Techniques

Published:2022 Issue: Volume:10 Page:39926-39938
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Ezzi Abdulhakim¹^ORCID,Al-Shargabi Amal A.²^ORCID,Al-Shargie Fares³^ORCID,Zahary Ammar T.⁴^ORCID

Affiliation:

1. Electrical and Electronic Engineering Department, Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Bandar, Seri Iskandar, Perak, Malaysia

2. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia

3. Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates

4. Department of Computer Science, Faculty of Computing and IT, University of Science and Technology, Sana’a, Yemen

Funder

Sanaa University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09750049.pdf?arnumber=9750049

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5. Characterization of complexity in the electroencephalograph activity of Alzheimer’s disease based on fuzzy entropy;cao;Chaos Interdiscipl J Nonlinear Sci,2015

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