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SLiTRANet: EEG Framework for MDD Diagnosis by Urvashi Prakash Shukla is a document available to read on EtoBox.

The document presents SLiTRANet, an EEG-based automated diagnosis framework for Major Depressive Disorder (MDD) that utilizes a novel Linear Graph Convolution Network and Transformer-based hybrid deep learning approach. This system aims for real-time MDD monitoring within the Internet of Medical Things (IoMT) framework, achieving high accuracy rates of 99.92% on the HUSM dataset and 99.68% on the MODMA dataset. The proposed methodology addresses limitations of existing models by effectively capturing spatia

Author

Urvashi Prakash Shukla

Language

EN