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

Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder Publisher

Bashiri A¹ ; Shahmoradi L¹ ; Beigy H² ; Savareh BA³ ; Nosratabadi M⁴ ; N Kalhori SR¹ ; Ghazisaeedi M¹

Show Affiliations

1. Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
3. Studen. Research Committee, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4. Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

Source: Future Science OA Published:2018

Abstract

Aim: Quantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of quantitative electroencephalography (QEEG) that affect attention and response control parameters in children with attention deficit hyperactivity disorder. Methods: The QEEG features and the Integrated Visual and Auditory-Continuous Performance Test ( IVA-CPT) of 95 attention deficit hyperactivity disorder subjects were preprocessed by Independent Evaluation Criterion for Binary Classification. Then, the importance of selected features in the classification of desired outputs was evaluated using the artificial neural network. Results: Findings uncovered the highest rank of QEEG features in each IVA-CPT parameters related to attention and response control. Conclusion: Using the designed model could help therapists to determine the existence or absence of defects in attention and response control relying on QEEG. © 2018 Marjan Ghazisaeedi.

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Style	Citing Format
MLA	Bashiri A, et al.. "Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder." Future Science OA, vol. 4, no. 5, 2018, pp. -.
APA	Bashiri A, Shahmoradi L, Beigy H, Savareh BA, Nosratabadi M, N Kalhori SR, Ghazisaeedi M (2018). Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder. Future Science OA, 4(5), -.
Chicago	Bashiri A, Shahmoradi L, Beigy H, Savareh BA, Nosratabadi M, N Kalhori SR, Ghazisaeedi M. "Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder." Future Science OA 4, no. 5 (2018): -.
Harvard	Bashiri A et al. (2018) 'Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder', Future Science OA, 4(5), pp. -.
Vancouver	Bashiri A, Shahmoradi L, Beigy H, Savareh BA, Nosratabadi M, N Kalhori SR, et al.. Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder. Future Science OA. 2018;4(5):-.
BibTex	@article{ author = {Bashiri A and Shahmoradi L and Beigy H and Savareh BA and Nosratabadi M and N Kalhori SR and Ghazisaeedi M}, title = {Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder}, journal = {Future Science OA}, volume = {4}, number = {5}, pages = {-}, year = {2018} }
RIS	TY - JOUR AU - Bashiri A AU - Shahmoradi L AU - Beigy H AU - Savareh BA AU - Nosratabadi M AU - N Kalhori SR AU - Ghazisaeedi M TI - Quantitative Eeg Features Selection in the Classification of Attention and Response Control in the Children and Adolescents With Attention Deficit Hyperactivity Disorder JO - Future Science OA VL - 4 IS - 5 SP - EP - PY - 2018 ER -

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