Ning Jiang

Ning Jiang (S'02–M'09) received the B.S. degree in electrical engineering from Xi'an Jiaotong University, Xi'an, China, in 1998, and the M.Sc. and Ph.D. degrees in engineering from the University of New Brunswick, Fredericton, NB, Canada, in 2004 and 2009, respectively. Senior Member, IEEE. He was a Research Assistant Professor with Aalborg University, Denmark from 2009 to 2010, a Marie Curie Fellow with the Strategic Technology Management, Otto Bock Healthcare GmbH, Germany, from 2010 to 2012, and a Research Scientist with the Department of Neurorehabilitation Engineering, University Medical Center Göttingen, Georg-August University, Göttingen, Germany, from 2012 to 2015. Since 2015, he has been an Assistant Professor with the Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada. His research interests include signal processing of electromyography, advanced prosthetic control, neuromuscular modeling, electroencephalogram processing, and brain–computer interfaces for neurorehabilitation. He is currently an Associate Editor of the IEEE JOURNAL of BIOMEDICAL AND HEALTH INFORMATICS, and the Brain-Computer Interface, and a Guest Editor of Frontiers in Neuroscience.

Associated articles

TBME, Featured Articles
Decoding Covert Somatosensory Attention by a BCI System Calibrated With Tactile Sensation
Objective: We propose a novel calibration strategy to facilitate the decoding of covert somatosensory attention by exploring the oscillatory dynamics induced by tactile sensation. Methods: It was hypothesized that the similarity of the oscillatory pattern between stimulation sensation (SS, real... Read more
TNSRE, Featured Articles
Endogenous Sensory Discrimination and Selection by a Fast Brain Switch for a High Transfer Rate Brain-Computer Interface
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... Read more
TNSRE, Featured Articles
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
Farina, D. ; Jiang, N. ; Rehbaum, H. ; Holobar, A. ; Graimann, B. ; Dietl, H. ; Aszmann, O.C. Abstract Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e,... Read more
TNSRE, Featured Articles
A Stimulus-Independent Hybrid BCI Based on Motor Imagery and Somatosensory Attentional Orientation
       Distinctive EEG signals from the motor and somatosensory cortex are generated during mental tasks of motor imagery (MI) and somatosensory attentional orientation (SAO). In this study, we hypothesize that a combination of these two signal modalities provides improvements in BCI... Read more
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,... Read more
TNSRE, Featured Articles
Age-Related Changes in Vibro-Tactile EEG Response and Its Implications in BCI Applications: A Comparison Between Older and Younger Populations
    The rapid increase in the number of older adults around the world is accelerating research in applications to support age-related conditions, such as brain–computer interface (BCI) applications for post-stroke neurorehabilitation. The signal processing algorithms for electroencephalogram (EEG) and other physiological... Read more