1. Eegdenoisenet: a benchmark dataset for deep learning solutions of eeg denoising;Haoming Zhang;Journal of Neural Engineering,2021
2. Towards semiautomatic artifact rejection for the improvement of alzheimer's disease screening from eeg signals;Jordi Sol�;Sensors,2015
3. Eeg-based bci: A novel improvement for eeg signals classification based on real-time preprocessing;Said Abenna;Computers in Biology and Medicine,2022
4. Eeg based depression recognition using improved graph convolutional neural network;Jing Zhu;Computers in Biology and Medicine,2022
5. A multi-modal assessment of sleep stages using adaptive fourier decomposition and machine learning;Binish Fatimah;Computers in Biology and Medicine,2022