Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data

Over 300 million people worldwide are affected by depression, with symptoms that have a major impact on patients and, in the worst cases, can lead to suicide. As the severity of the disease increases over time, early detection can save a patient’s life. The disease is diagnosed by professiona...

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Bibliografische gegevens

Hoofdauteurs:	Pascal Penava, Ricardo Buettner
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2024-01-01
Reeks:	IEEE Access
Onderwerpen:	Depression detection early-stage EEG resting-state CNN
Online toegang:	https://ieeexplore.ieee.org/document/10757418/
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