SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach

SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach

Major depressive disorder (MDD) is a mental ailment marked by a loss of interest in activities, persistent depression, and hopelessness. MDD has been on the rise in society in recent decades for varied reasons and has spurred suicidal tendencies among individuals. Early detection, continuous monitor...

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Bibliographic Details
Main Authors: Sagnik de, Anurag Singh, Vivek Tiwari, Harshita Patel, G. N. Vivekananda, Dharmendra Singh Rajput
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
EEG signals
hybrid deep learning network
linear graph convolution network
IoMT
healthcare monitoring
depression classification
Online Access:https://ieeexplore.ieee.org/document/10746475/
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https://ieeexplore.ieee.org/document/10746475/

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