Which Reference Should We Use for EEG and ERP practice? D Yao*, Y Qin*, S Hu*, L Dong, MLB Vega, PAV Sosa Brain topography, 1-20, 2019 | 147 | 2019 |
How do reference montage and electrodes setup affect the measured scalp EEG potentials? S Hu, Y Lai, PA Valdes-Sosa, ML Bringas-Vega, D Yao Journal of neural engineering 15 (2), 026013, 2018 | 73 | 2018 |
The statistics of EEG unipolar references: derivations and properties S Hu, D Yao, ML Bringas-Vega, Y Qin, PA Valdes-Sosa Brain topography 32, 696-703, 2019 | 29 | 2019 |
Unified Bayesian estimator of EEG reference at infinity: rREST (regularized reference electrode standardization technique) S Hu, D Yao, PA Valdes-Sosa Frontiers in neuroscience 12, 297, 2018 | 21 | 2018 |
Harmonized-Multinational qEEG Norms (HarMNqEEG) M Li, Y Wang, C Lopez-Naranjo, S Hu, RCG Reyes, AI Abd Hamid, ... NeuroImage, 119190, 2022 | 20 | 2022 |
OVPD: odor-video elicited physiological signal database for emotion recognition J Xue, J Wang, S Hu, N Bi, Z Lv IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 17 | 2022 |
A novel deep learning model based on the ICA and Riemannian manifold for EEG-based emotion recognition M Wu, S Hu, B Wei, Z Lv Journal of Neuroscience Methods 378, 109642, 2022 | 15 | 2022 |
Spatial-frequency-temporal convolutional recurrent network for olfactory-enhanced EEG emotion recognition M Xing, S Hu, B Wei, Z Lv Journal of Neuroscience Methods 376, 109624, 2022 | 13 | 2022 |
Movement symmetry assessment by bilateral motion data fusion P Ren, S Hu, Z Han, Q Wang, S Yao, Z Gao, J Jin, ML Bringas, D Yao, ... IEEE Transactions on Biomedical Engineering 66 (1), 225-236, 2018 | 13 | 2018 |
Restate the reference for EEG microstate analysis S Hu, E Karahan, PA Valdes-Sosa https://arxiv.org/abs/1802.02701, 2018 | 7 | 2018 |
Stepwise covariance-free common principal components (CF-CPC) with an application to neuroscience U Riaz, FA Razzaq, S Hu, PA Valdés-Sosa Frontiers in Neuroscience 15, 750290, 2021 | 5 | 2021 |
Multinational qEEG developmental surfaces S Hu, A Ngulugulu, J Bosch-Bayard, ML Bringas-Vega, PA Valdes-Sosa BioRxiv, 2019.12. 20.883991, 2019 | 2 | 2019 |
How do the resting EEG preprocessing states affect the outcomes of postprocessing? S Hu, J Ruan, J Hou, PA Valdes-Sosa, Z Lv arXiv preprint arXiv:2310.15194, 2023 | 1 | 2023 |
Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing S Hu, J Ruan, N Langer, J Bosch-Bayard, Z Lv, D Yao, P Valdes-Sosa arXiv preprint, 2023 | 1 | 2023 |
A study on Frequency Domain Microstate Feature Fusion for EEG Emotion Recognition D Xiao, Z Lv, S Hu 2022 7th International Conference on Communication, Image and Signal …, 2022 | 1 | 2022 |
Xi rhythms: decoding neural oscillations to create full-brain high-resolution spectra parametric mapping S Hu, PA Valdes-Sosa bioRxiv, 2019.12. 17.880328, 2019 | 1 | 2019 |
-: a nonparametric model for neural power spectra decomposition S Hu, Z Zhang, X Zhang, X Wu, PA Valdes-Sosa IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
Parallel Log Spectra index (PaLOSi): a quality metric in large scale resting EEG preprocessing S Hu, J Ruan, N Langer, J Bosch-Bayard, Z Lv, D Yao, PA Valdes-Sosa arXiv preprint arXiv:2310.11994, 2023 | | 2023 |
Microstate fusion across frequency bands alleviates the use of deep learning models for EEG emotion recognition S Hu, D Xiao, J Ruan, Z Zhang, Y Liu, J Tian, J Hou, Z Lv, D Yao, ... International Journal of Psychophysiology 188, 86, 2023 | | 2023 |
The impacts of preprocessed EEG quality on the fidelity of spectra and functional connectivity S Hu, J Ruan, Z Zhang, N Langer, J Bosch-Bayard, D Yao, P Valdes-Sosa International Journal of Psychophysiology 188, 85-86, 2023 | | 2023 |