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Research Article

Quantitative EEG Features Selection in the Classification of Attention and Response Control in the Children and Adolescents with Attention Deficit Hyperactivity Disorder

Azadeh Bashiri1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, IranView further author information

Leila Shahmoradi1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, IranView further author information

Hamid Beigy2 Department of Computer Engineering, Sharif University of Technology, Tehran, IranView further author information

Behrouz A Savareh3 Student Research Committee, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IranView further author information

Masood Nosratabadi4 Department of Clinical Psychology, University of Social Welfare & Rehabilitation Sciences, Tehran, IranView further author information

Sharareh R N Kalhori1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, IranView further author information

Marjan Ghazisaeedi1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, IranCorrespondence[email protected]
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Article: FSO292 | Received 07 Nov 2017, Accepted 15 Jan 2018, Published online: 14 Feb 2018

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https://doi.org/10.4155/fsoa-2017-0138
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Sandra García-Ponsoda, Jorge García-Carrasco, Miguel A. Teruel, Alejandro Maté & Juan Trujillo. (2023) Feature engineering of EEG applied to mental disorders: a systematic mapping study. Applied Intelligence 53:20, pages 23203-23243.
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Li Ji, Chen Zhang, Haiwei Li, Ningning Zhang, Changhao Guo, Yong Zhang & Xiaoyu Tang. (2023) A comprehensive experimental framework based on analysis of the pilot’s EEG and NASA-TLX questionnaire in a VR environment. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 237:7, pages 869-878.
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Anchana V. & Biju K. S.. (2023) Comparative Study of Detection of ADHD using EEG Signals. Comparative Study of Detection of ADHD using EEG Signals.

Ali Esmaili Jami, Mohammad Ali Khalilzadeh, Majid Ghoshuni & Mohammad Mahdi Khalilzadeh. (2022) Estimation of Attention Indices in IVA Tests Using Optical Flow in ERP Brain Maps. The Neuroscience Journal of Shefaye Khatam 11:1, pages 46-56.
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Radwa Magdy Rady, Nancy Diaa Moussa, Doaa Hanafy El Salmawy, M R M Rizk & Onsy Abdel Alim. (2022) A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children. Alexandria Engineering Journal 61:12, pages 12785-12795.
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Ali Esmaili Jami, Mohammad Ali Khalilzadeh, Majid Ghoshuni & Mohammad Mahdi Khalilzadeh. (2022) A Novel Method Based on ERP and Brain Graph for the Simultaneous Assessment of Various Types of Attention. Computational Intelligence and Neuroscience 2022, pages 1-8.
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R. Catherine Joy, S. Thomas George, A. Albert Rajan, M. S. P. Subathra, N. J. Sairamya, J. Prasanna, Mazin Abed Mohammed, Alaa S. Al-Waisy, Mustafa Musa Jaber & Mohammed Nasser Al-Andoli. (2022) Detection and Classification of ADHD from EEG Signals Using Tunable Q-Factor Wavelet Transform. Journal of Sensors 2022, pages 1-17.
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Hui Wen Loh, Chui Ping Ooi, Prabal Datta Barua, Elizabeth E. Palmer, Filippo Molinari & U Rajendra Acharya. (2022) Automated detection of ADHD: Current trends and future perspective. Computers in Biology and Medicine 146, pages 105525.
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Joel.E.W. Koh, Chui Ping Ooi, Nikki SJ. Lim-Ashworth, Jahmunah Vicnesh, Hui Tian Tor, Oh Shu Lih, Ru-San Tan, U.Rajendra Acharya & Daniel Shuen Sheng Fung. (2022) Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals. Computers in Biology and Medicine 140, pages 105120.
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Claudia Lizbeth Martínez González, Efraín José Martínez Ortiz, Jesús Jaime Moreno Escobar & Juan Alfredo Durand Rivera. 2022. Biosignal Processing and Classification Using Computational Learning and Intelligence. Biosignal Processing and Classification Using Computational Learning and Intelligence 447 469 .

C. Téllez-Villagra & A. González Pedraza Avilés. (2021) Distribución cortical de la potencia absoluta de la actividad Beta 12Hz-25 Hz en niños varones con trastorno por déficit de atención e hiperactividad combinado. Revista de Psiquiatría Infanto-Juvenil 38:2, pages 4-25.
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Behrouz Alizadeh Savareh, Azadeh Bashiri, Mohammad Mehdi Hatef & Boshra Hatef. (2021) Prediction of salivary cortisol level by electroencephalography features. Biomedical Engineering / Biomedizinische Technik 66:3, pages 275-284.
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Hui Tian Tor, Chui Ping Ooi, Nikki SJ Lim-Ashworth, Joel Koh En Wei, V Jahmunah, Shu Lih Oh, U Rajendra Acharya & Daniel Shuen Sheng Fung. (2021) Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals. Computer Methods and Programs in Biomedicine 200, pages 105941.
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Livia Livint Popa, Hanna Dragos, Cristina Pantelemon, Olivia Verisezan Rosu & Stefan Strilciuc. (2020) The Role of Quantitative EEG in the Diagnosis of Neuropsychiatric Disorders. Journal of Medicine and Life 13:1, pages 8-15.
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Azadeh Bashiri, Marjan Ghazisaeedi, Leila Shahmoradi, Behrouz Alizadeh Savareh, Hamid Beigy, Sharareh Rostam Niakan kalhori, Masoud Nosratabadi & Mahnaz Estaki. (2018) Designing a Clinical Decision Support System for Recommending Computerized Cognitive Rehabilitation Programs: the Experience of Attention Deficit Hyperactivity Disorder. Designing a Clinical Decision Support System for Recommending Computerized Cognitive Rehabilitation Programs: the Experience of Attention Deficit Hyperactivity Disorder.

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Quantitative EEG Features Selection in the Classification of Attention and Response Control in the Children and Adolescents with Attention Deficit Hyperactivity Disorder

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Quantitative EEG Features Selection in the Classification of Attention and Response Control in the Children and Adolescents with Attention Deficit Hyperactivity Disorder

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