Y. Forghani

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

This is the first study to integrate EEG and ERP data in a multimodal fashion using three feature sets, achieving a high accuracy of 91% with GRU‐based classification and indicates that the combination of multimodal features and deep learning can help improve the accuracy of depression diagnosis and develop effective a...