Detection of ADHD cases using CNN and classical classifiers of raw EEG

Detection of ADHD cases using CNN and classical classifiers of raw EEG

Purpose:: This study proposes a novel convolutional neural network (CNN) structure in conjunction with classical machine learning models, utilizing the raw electroencephalography (EEG) signal as the input to diagnose attention deficit hyperactivity disorder (ADHD) in children. The proposed EEG-based...

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Bibliographic Details
Main Authors: Behrad TaghiBeyglou, Ashkan Shahbazi, Fatemeh Bagheri, Sina Akbarian, Mehran Jahed
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Attention deficit hyperactivity disorder (ADHD)
Machine learning
Convolutional neural network (CNN)
Electroencephalograph (EEG)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990022000313

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http://www.sciencedirect.com/science/article/pii/S2666990022000313

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