Reference author: Xinjun Sheng

First name

Xinjun

Last name

Sheng

Yao, L. ., Sheng, X. ., Mrachacz-Kersting, N. ., Zhu, X. ., Farina, D. ., & Jiang, N. . (2017). Decoding covert somatosensory attention by a BCI system calibrated with tactile sensation. IEEE Transactions on Biomedical Engineering, In Press. https://doi.org/10.1109/TBME.2017.2762461

Yao, L. ., Sheng, X. ., Zhang, D. ., Jiang, N. ., Mrachacz-Kersting, N. ., Zhu, X. ., & Farina, D. . (2017). A stimulus-independent hybrid BCI based on Motor Imagery and Somatosensory Attentional Orientation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25, 8. https://doi.org/10.1109/TNSRE.2017.2684084

Pan, L. ., Zhang, D. ., Jiang, N. ., Sheng, X. ., & Zhu, X. . (2017). Transcranial Direct Current Stimulation versus User Training on Improving Online Myoelectric Control for Amputees. Journal of Neural Engineering, 4. https://doi.org/10.1088/1741-2552/aa758e

Yao, L. ., Sheng, X. ., Zhang, D. ., Jiang, N. ., Farina, D. ., & Zhu, X. . (2016). A BCI System based on Somatosensory Attentional Orientation", IEEE Transactions on Neural Systems and Rehabilitation Engineering. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25. https://doi.org/10.1109/TNSRE.2016.2572226 (Original work published)

Liu, J. ., Sheng, X. ., Zhang, D. ., He, J. ., & Zhu, X. . (2016). Reduced Daily Re- calibration of Myoelectric Prosthesis Classifiers Based on Domain Adaptation. IEEE Journal of Biomedical and Health Informatics, 20. https://doi.org/https://doi.org/10.1109/JBHI.2014.2380454 (Original work published 2016)

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. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Presented at the. 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. ., Zhang, D. ., Sheng, X. ., Li, S. ., & Zhu, X. . (2015). Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination. IEEE Journal of Biomedical and Health Informatics, 19. https://doi.org/https://doi.org/10.1109/JBHI.2014.2330356 (Original work published 2015)

Yao, L. ., Meng, J. ., Sheng, X. ., Zhang, D. ., & Zhu, X. . (2015). A Novel Calibration and Task Guidance Framework for Motor Imagery BCI via a Tendon Vibration Induced Sensation with Kinesthesia Illusion. Journal of Neural Engineering, 12. https://doi.org/https://doi.org/10.1088/1741-2560/12/1/016005 (Original work published 2014)