AUTHOR=Zhou Qiao , Sun Sheng , Wang Shuo , Jiang Ping 

TITLE=TanhReLU -based convolutional neural networks for MDD classification

JOURNAL=Frontiers in Psychiatry

VOLUME=15

YEAR=2024

URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2024.1346838

DOI=10.3389/fpsyt.2024.1346838

ISSN=1664-0640

ABSTRACT=<p>Major Depression Disorder (MDD), a complex mental health disorder, poses significant challenges in accurate diagnosis. In addressing the issue of gradient vanishing in the classification of MDD using current data-driven electroencephalogram (EEG) data, this study introduces a TanhReLU-based Convolutional Neural Network (CNN). By integrating the TanhReLU activation function, which combines the characteristics of the hyperbolic tangent (Tanh) and rectified linear unit (ReLU) activations, the model aims to improve performance in identifying patterns associated with MDD while alleviating the issue of model overfitting and gradient vanishing. Experimental results demonstrate promising outcomes in the task of MDD classification upon the publicly available EEG data, suggesting potential clinical applications.</p>