Identification of attention deficit hyperactivity disorder with deep learning model

This article explores the detection of Attention Deficit Hyperactivity Disorder, a neurobehavioral disorder, from electroencephalography signals. Due to the unstable behavior of electroencephalography signals caused by complex neuronal activity in the brain, frequency analysis methods are required t...

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Bibliographic Details
Main Author:	Kasim, Ö (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2023
Subjects:	Attention deficit hyperactivity disorder Biomedical signal processing Brain Control groups Deep learning Deep learning model Discriminant analysis Diseases Electroencephalography Electrophysiology Learning models Learning systems Linear discriminant analyze Neighborhood component analysis Neurobehavioural Power spectral density Signal decomposition Support vector machines Support vectors machine Unstable behavior Variational mode decomposition Wavelet decomposition
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Identification of attention deficit hyperactivity disorder with deep learning model

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