Contributions of brain regions to machine learning-based classifications of attention deficit hyperactivity disorder (ADHD) utilizing EEG signals

The study presented focuses on the creation of a machine learning (ML) model that uses electrophysiological (EEG) data to identify kids with attention deficit hyperactivity disorder (ADHD) from healthy controls. The EEG signals are acquired during cognitive tasks to distinguish children with ADHD fr...

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Vydáno v:	Applied neuropsychology. Adult s. 1 - 15
Hlavní autoři:	Deshmukh, Manjusha, Khemchandani, Mahi, Thakur, Paramjit Mahesh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 08.07.2024
Témata:	electroencephalography machine learning Attention deficit hyperactivity disorder supervised learning algorithm channels on brain
ISSN:	2327-9095, 2327-9109, 2327-9109
On-line přístup:	Získat plný text
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