Detection and classification of ADHD from EEG signals using tunable Q-factor wavelet transform

The automatic identification of Attention Deficit Hyperactivity Disorder (ADHD) is essential for developing ADHD diagnosis tools that assist healthcare professionals. Recently, there has been a lot of interest in ADHD detection from EEG signals because it seemed to be a rapid method for identifyin...

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Main Authors:	Mohammed Al-Andoli, Mohammed Nasser, Joy, R. Catherine, George, S. Thomas, Rajan, A. Albert, Muthu Swamy, Pandian Subathra, Sairamya, Nanjappan Jothiraj, Jagupilla, Lakshmi Prasanna, Abed Mohammed, Mazin, Al-Waisy, Alaa S., Musa Jaber, Mustafa
Format:	Article
Language:	en
Published:	Hindawi Publishing Corporation 2022
Online Access:	http://eprints.utem.edu.my/id/eprint/28669/2/0272910082023312.pdf http://eprints.utem.edu.my/id/eprint/28669/ https://onlinelibrary.wiley.com/doi/epdf/10.1155/2022/3590973 https://doi.org/10.1155/2022/3590973
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