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Engineering and Technology

D-Index
53
Citations
12447
World Ranking
3353
National Ranking
138

Overview

Ning Jiang is affiliated with the University of Waterloo in Canada. Their research spans neuroscience and engineering, with a significant focus on cognitive neuroscience and biomedical engineering. They have contributed extensively to the study of human-computer interaction, cellular and molecular neuroscience, and neurology. Their work frequently explores areas related to muscle activation, electrophysiological methods, and brain-computer interfaces.

The scientist's main research topics include EEG and brain-computer interfaces, muscle activation and electromyography studies, neuroscience and neural engineering, advanced sensor and energy harvesting materials, functional brain connectivity studies, neural dynamics and brain function, and hand gesture recognition systems. Their interdisciplinary approach integrates neural engineering techniques with practical applications in prosthetics and sensor technology.

Ning Jiang has published in numerous venues, notably including IEEE Transactions on Neural Systems and Rehabilitation Engineering, arXiv (Cornell University), The Journal of Immunology, Journal of Neural Engineering, and Frontiers in Aging Neuroscience. These platforms indicate a blend of engineering, immunological, and neuroscience perspectives within their body of work.

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • arXiv (Cornell University)
  • The Journal of Immunology
  • Journal of Neural Engineering
  • Frontiers in Aging Neuroscience

Frequent collaborators in their research include Jiayuan He, Ashirbad Pradhan, Zhiwei Guo, Dario Farina, and Xin Zhang. These coauthors have contributed to a range of investigations related to electromyography, neural interfaces, and related biomedical technologies.

  • Jiayuan He
  • Ashirbad Pradhan
  • Zhiwei Guo
  • Dario Farina
  • Xin Zhang

Notable publications by Ning Jiang and colleagues include:

  • Comparing user-dependent and user-independent training of CNN for SSVEP BCI, 2020, Journal of Neural Engineering
  • Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review, 2023, National Science Review
  • Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition, 2020, Frontiers in Bioengineering and Biotechnology
  • MuscleNET: mapping electromyography to kinematic and dynamic biomechanical variables by machine learning, 2021, Journal of Neural Engineering
  • Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics, 2022, Scientific Data

Best Publications

  • The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

    Dario Farina;Ning Jiang;Hubertus Rehbaum;Ales Holobar

  • Myoelectric Control of Artificial Limbs—Is There a Need to Change Focus? [In the Spotlight]

    Ning Jiang;S. Dosen;K-R Muller;D. Farina

  • Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal

    Ning Jiang;K.B. Englehart;P.A. Parker

  • Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control

    J. M. Hahne;F. Biebmann;N. Jiang;H. Rehbaum

  • Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

    Dario Farina;Dario Farina;Ivan Vujaklija;Ivan Vujaklija;Massimo Sartori;Tamás Kapelner

  • Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees

    Ning Jiang;Hubertus Rehbaum;Ivan Vujaklija;Bernhard Graimann

  • Detection of movement intention from single-trial movement-related cortical potentials

    Imran Khan Niazi;Ning Jiang;Olivier Tiberghien;Jørgen Feldbæk Nielsen

  • Simultaneous and Proportional Force Estimation for Multifunction Myoelectric Prostheses Using Mirrored Bilateral Training

    Johnny L G Nielsen;S Holmgaard;Ning Jiang;K B Englehart

  • Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control

    Ning Jiang;Ivan Vujaklija;Hubertus Rehbaum;Bernhard Graimann

  • Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

    Natalie Mrachacz-Kersting;Ning Jiang;Andrew James Thomas Stevenson;Imran Khan Niazi

  • Enhanced Low-Latency Detection of Motor Intention From EEG for Closed-Loop Brain-Computer Interface Applications

    Ren Xu;Ning Jiang;Chuang Lin;Natalie Mrachacz-Kersting

  • EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees

    Ning Jiang;Johnny Luther Gredal Vest-Nielsen;Silvia Muceli;Silvia Muceli;Dario Farina

  • Myoelectric Control of Artificial Limbs— Is There a Need to Change Focus?

    Ning Jiang;Strahinja Dosen;Klaus-Robert Müller;Dario Farina

  • Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control

    Sebastian Amsuss;Peter M. Goebel;Ning Jiang;Bernhard Graimann

  • A Closed-Loop Brain–Computer Interface Triggering an Active Ankle–Foot Orthosis for Inducing Cortical Neural Plasticity

    Ren Xu;Ning Jiang;Natalie Mrachacz-Kersting;Chuang Lin

  • Extracting Signals Robust to Electrode Number and Shift for Online Simultaneous and Proportional Myoelectric Control by Factorization Algorithms

    Silvia Muceli;Ning Jiang;Dario Farina

  • Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses

    Thomas Lorrain;Ning Jiang;Dario Farina

  • User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control.

    Jiayuan He;Dingguo Zhang;Ning Jiang;Xinjun Sheng

  • Physical secure optical communication based on private chaotic spectral phase encryption/decryption.

    Ning Jiang;Anke Zhao;Chenpeng Xue;Jianming Tang

  • Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials

    I. K. Niazi;N. Mrachacz-Kersting;Ning Jiang;K. Dremstrup

  • A brain-computer interface for single-trial detection of gait initiation from movement related cortical potentials

    Ning Jiang;Leonardo Gizzi;Natalie Mrachacz-Kersting;Kim Dremstrup

Frequent Co-Authors

Dario Farina
Dario Farina Imperial College London
Kun Qiu
Kun Qiu University of Electronic Science and Technology of China
Wei Pan
Wei Pan Southwest Jiaotong University
Bin Luo
Bin Luo Southwest Jiaotong University
Xiangyang Zhu
Xiangyang Zhu Shanghai Jiao Tong University
Lianshan Yan
Lianshan Yan Southwest Jiaotong University
Xihua Zou
Xihua Zou Southwest Jiaotong University
Kevin Englehart
Kevin Englehart University of New Brunswick
Bernhard Graimann
Bernhard Graimann Graz University of Technology
Philip A. Parker
Philip A. Parker University of New Brunswick

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