Computational Analysis of EEG Responses to Anxiogenic Stimuli Using Machine Learning Algorithms

Anxiety disorders are commonly assessed using instruments such as HAM-A and GAD-7. These tools rely on patient self-report and clinician interpretation, which may introduce variability. This study proposes an EEG-based computational framework for estimating anxiety levels using portable EEG recordin...

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Библиографические подробности

Главные авторы:	Felix-Constantin Adochiei, Anamaria Ioniță, Ioana-Raluca Adochiei, Oana-Isabela Stirbu, Gladiola Petroiu, Florin Ciprian Argatu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-02-01
Серии:	Applied Sciences
Предметы:	EEG anxiety classification machine learning HAM-A physiological biomarkers portable EEG
Online-ссылка:	https://www.mdpi.com/2076-3417/16/3/1504
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