Reference author: Xinjun Sheng

Liu, J., Sheng, X., Zhang, D., Jiang, N., & Zhu, X. (2016). Towards Zero Retraining for Myoelectric Control Based on Common Model Component Analysis IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24. https://doi.org/https://doi.org/10.1109/TNSRE.2015.2420654 (Original work published 2016)

He, J., Zhang, D., Sheng, X., & Zhu, X. (2015). A Comparison of Open-Loop and Closed-Loop Adaptive Calibration for Pattern Recognition based Myoelectric Control Presented at the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) conference. Milan, Italy: Engineering in Medicine and Biology Society (EMBC). https://doi.org/https://doi.org/10.1109/EMBC.2015.7318568 (Original work published 2015)

Pan, L., Zhang, D., Jiang, N., Sheng, X., & Zhu, X. (2015). Improving Robustness against Electrode Shift of High Density EMG for Myoelectric Control through Common Spatial Patterns Journal of NeuroEngineering and Rehabilitation. https://doi.org/10.1186/s12984-015-0102-9

He, J., Sheng, X., Zhu, X., Jiang, C., & Jiang, N. (2019). Spatial Information Enhances Myoelectric Control Performance with Only Two Channels IEEE Transactions on Industrial Informatics, 15, 7. https://doi.org/DOI: 10.1109/TII.2018.2869394 (Original work published 2019)

Yao, L., Sheng, X., Mrachacz-Kersting, N., Zhu, X., Farina, D., & Jiang, N. (2018). Decoding covert somatosensory attention by a BCI system calibrated with tactile sensation IEEE Transactions on Biomedical Engineering, 65. https://doi.org/10.1109/TBME.2017.2762461 (Original work published 2018)

He, J., Sheng, X., Zhu, X., & Jiang, N. (2018). Electrode density affects the robustness of myoelectric pattern recognition system with and without electrode shift https://doi.org/10.1109/JBHI.2018.2805760

Shu, X., Chen, shugeng, Yao, L., Sheng, X., Zhang, D., Jiang, N., … Zhu, X. (2018). Fast Recognition of BCI-inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2018.00093 (Original work published 2018)

Yao, L., Sheng, X., Mrachacz-Kersting, N., Zhu, X., Farina, D., & Jiang, N. (2018). A multi-class tactile brain-computer interface based on stimulus-induced oscillatory dynamics IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26, 10. https://doi.org/10.1109/TNSRE.2017.2731261

Yao, L., Sheng, X., Mrachacz-Kersting, N., Zhu, X., Farina, D., & Jiang, N. (2018). Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26, 68. https://doi.org/10.1109/TNSRE.2017.2769686

Yao, L., Sheng, X., Mrachacz-Kersting, N., Zhu, X., Farina, D., & Jiang, N. (2018). Sensory Stimulation Training for BCI System based on Somatosensory Attentional Orientation IEEE Transactions on Biomedical Engineering, Early Access. https://doi.org/10.1109/TBME.2018.2852755 (Original work published 2018)