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E. Kheirkhah

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Review Open access Sep 2026

A review on machine learning and deep learning approaches for depressive disorder diagnosis based on EEG and ERP signals

This review delivers a comprehensive analysis of the 69 published articles from 2020 to 2026 that exhibit ML/DL methods for recognizing depression based on EEG and ERP datasets and provides guidance for researchers in this field by pointing out challenges, research gaps, and suggestions for future directions.

Atefeh Abedzadeh Attar, M. Moattar, E. Kheirkhah · 0 citations

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