| A new feature selection approach for driving fatigue EEG detection with a modified machine learning algorithm Y Zheng, Y Ma, J Cammon, S Zhang, J Zhang, Y Zhang Computers in Biology and Medicine 147, 105718, 2022 | 27 | 2022 |
| Self-supervised EEG emotion recognition models based on CNN X Wang, Y Ma, J Cammon, F Fang, Y Gao, Y Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1952-1962, 2023 | 25 | 2023 |
| Effect of BCI-controlled pedaling training system with multiple modalities of feedback on motor and cognitive function rehabilitation of early subacute stroke patients Z Yuan, Y Peng, L Wang, S Song, S Chen, L Yang, H Liu, H Wang, G Shi, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 2569-2577, 2021 | 23 | 2021 |
| Dual-encoder VAE-GAN with spatiotemporal features for emotional EEG data augmentation C Tian, Y Ma, J Cammon, F Fang, Y Zhang, M Meng IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 2018-2027, 2023 | 18 | 2023 |
| Multi-domain feature analysis method of MI-EEG signal based on Sparse Regularity Tensor-Train decomposition Y Gao, C Zhang, F Fang, J Cammon, Y Zhang Computers in Biology and Medicine 158, 106887, 2023 | 7 | 2023 |
| Test and re-test reliability of optimal stimulation targets and parameters for personalized neuromodulation F Fang, J Cammon, R Li, Y Zhang Frontiers in Neuroscience 17, 1153786, 2023 | 1 | 2023 |
| The Quantification of Medial/Lateral Kinematics in a Total Knee Replacement During Simulation J Cammon | | 2005 |
Yingchun ZhangProfessor in Biomedical Engineering, University of MiamiVerified email at miami.edu
