Publications

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Author Title Type [ Year(Asc)]
2016
Zhu, X. , Liu, J. , Zhang, D. , Sheng, X. , & Jiang, N. . (2016). IEEE Transactions on Neural Systems and Rehabilitation Engineering. Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control.
IEEE Transactions on Neural Systems and Rehabilitation Engineering. (2016). Endogenous Sensory Discrimination and Selection by a Fast Brain Switch for a High Transfer Rate Brain-Computer Interface.
Yao, L. , Sheng, X. , Zhang, D. , Jiang, N. , Farina, D. , & Zhu, X. . (2016). IEEE Transactions on Neural Systems and Rehabilitation Engineering. A BCI System based on Somatosensory Attentional Orientation.
IEEE Transactions on Neural Systems and Rehabilitation Engineering. (2016). Discriminative Manifold Learning Based Detection of Movement-Related Cortical Potentials.
Journal of Neurophysiology. (2016). Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface. Retrieved from http://jn.physiology.org/content/115/3/1410
PLoS ONE. (2016). Motor Unit Characteristics after Targeted Muscle Reinnervation. Retrieved from http://dx.doi.org/10.1371%2Fjournal.pone.0149772
Karimi, F. , Kofman, J. , Mrachcz-Kersting, N. , Farina, D. , & Jiang, N. . (2016). Comparison of EEG spatial filters for movement related cortical potential detection. In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the (pp. 1576–1579). IEEE.
Xu, R. , Jiang, N. , Mrachacz-Kersting, N. , Dremstrup, K. , & Farina, D. . (2016). Factors of influence on the performance of a short-latency non-invasive brain switch: evidence in healthy individuals and implication for motor function rehabilitation. Frontiers in neuroscience, 9, 527. Frontiers.
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, 444–454. IEEE.
Chen, M. Lin, Yao, L. , & Jiang, N. . (2016). Commanding Wheelchair in Virtual Reality with Thoughts by Multiclass BCI based on Movement-related Cortical Potentials. Journal of Computational Vision and Imaging Systems, 2.
Lin, C. , Wang, B. - H. , Jiang, N. , Xu, R. , Mrachacz-Kersting, N. , & Farina, D. . (2016). Discriminative Manifold Learning Based Detection of Movement-Related Cortical Potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24, 921–927. IEEE.
Xu, R. , Jiang, N. , Dosen, S. , Lin, C. , Mrachacz-Kersting, N. , Dremstrup, K. , & Farina, D. . (2016). Endogenous sensory discrimination and selection by a fast brain switch for a high transfer rate brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24, 901–910. IEEE.
Kapelner, T. , Jiang, N. , Holobar, A. , Vujaklija, I. , Roche, A. D. , Farina, D. , & Aszmann, O. C. . (2016). Motor unit characteristics after targeted muscle reinnervation. PloS one, 11, e0149772. Public Library of Science.
Hahne, J. M. , Farina, D. , Jiang, N. , & Liebetanz, D. . (2016). A novel percutaneous electrode implant for improving robustness in advanced myoelectric control. Frontiers in neuroscience, 10, 114. Frontiers.
2015
IEEE Transactions on Neural Systems and Rehabilitation Engineering. (2015). Towards Zero Re-training for Myoelectric Control Based on Common Model Component Analysis.
Journal of Neural Engineering. (2015). User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control. Retrieved from http://stacks.iop.org/1741-2552/12/i=4/a=046005
Physica Scripta. (2015). Myoelectric control of artificial limb inspired by quantum information processing. Retrieved from http://stacks.iop.org/1402-4896/90/i=3/a=035001
Brain-Computer Interfaces. (2015). Detection of movement intention from single-trial movement-related cortical potentials using random and non-random paradigms. Retrieved from http://dx.doi.org/10.1080/2326263X.2015.1053301
Clinical Neurophysiology . (2015). A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials . Retrieved from http://www.sciencedirect.com/science/article/pii/S1388245714002521
Global 10 nominee of the 2015 BCI Research Award, presented at the Society of Neuroscience. (2015). A BCI to combat musculoskeletal pain.

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