TNSRE
TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.
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Ren Xu
Ren Xu (S’12) received the B.Sc. degree in electronic information science and technology from University of Science and Technology of China, Hefei, China, and the M.Sc. degree in signal and information processing from Chinese Academy of Sciences, Beijing, China, in 2009 and 2012, respectively. Since 2012, he has been working toward the Ph.D. degree in applied computer science at University Medical Center, Georg-August University, Göttingen, Germany.
His research interests include biomedical signal processing, and brain–computer interface for rehabilitation.
Associated articles
TNSRE, Featured Articles
Endogenous Sensory Discrimination and Selection by a Fast Brain Switch for a High Transfer Rate Brain-Computer Interface
Ren Xu, Ning Jiang, Strahinja Dosen, Chuang Lin, Natalie Mrachacz-Kersting, Kim Dremstrup, Dario Farina
In this study, we present a novel multi-class brain-computer interface (BCI) system for communication and control. In this system, the information processing is shared by the algorithm (computer) and the user (human). Specifically, an electro-tactile cycle was presented to the...
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Posted on 5 AUG 2016
TNSRE, Featured Articles
Discriminative Manifold Learning Based Detection of Movement-Related Cortical Potentials
The detection of voluntary motor intention from EEG has been applied to closed-loop brain–computer interfacing (BCI). The movement-related cortical potential (MRCP) is a low frequency component of the EEG signal, which represents movement intention, preparation, and execution. In this study,...
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Posted on 8 SEP 2016