WS-BiLSTM-MA: Wavelet Scattering-Based BiLSTM With Mixed Attention Block for MDD Recognition Using Multichannel EEG Signals - Zhang, Feng; Yang, Chunfeng; You, Linlin; Wang, Xiaojia; Yuan, Yonggui; Jeannes, Regine Le Bouquin; Shu, Huazhong; Xiang, Wentao (IEEE transactions on instrumentation and measurement, 2025)
Keywords: Accuracy; Attention mechanism; bidirectional long short-term memory network (BiLSTM); Character recognition; Classification; Convolutional neural networks; Datasets; Electrodes; Electroencephalography; Experiments; Feature extraction; Hospitals; Long short term memory; major depressive disorder (MDD) recognition; multichannel electroencephalography (EEG) signals; Performance enhancement; Performance evaluation; Recall; Recognition; S matrix theory; Scattering; Scattering coefficient; wavelet scattering network