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Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/EDM65517.2025.11096865
Final published version

Neda Firoz
Sergey Vladimirovich Aksyonov
Olga Grigorievna Berestneva
Alexander Savostyanov

Original language	English
Title of host publication	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Publisher	IEEE Computer Society
Pages	1820-1825
Number of pages	6
ISBN (Print)	9781665477376
DOIs	https://doi.org/10.1109/EDM65517.2025.11096865
Publication status	Published - 8 Aug 2025
Event	2025 IEEE 26th International Conference of Young Professionals in Electron Devices and Materials (EDM) - Алтай, Russian Federation Duration: 27 Jun 2025 → 1 Jul 2025 Conference number: 26 https://edm.ieeesiberia.org/

Publication series

Name	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

Conference

Conference	2025 IEEE 26th International Conference of Young Professionals in Electron Devices and Materials (EDM)
Abbreviated title	EDM 2025
Country/Territory	Russian Federation
City	Алтай
Period	27.06.2025 → 01.07.2025
Internet address	https://edm.ieeesiberia.org/

Research areas

Convolutional Autoencoders, Deep learning, Depression, EEG signals, ICBrainDB, Machine learning

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES

ID: 68949646