Jiang, Ning

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

Farina, D., Vujaklija, I., Sartori, M., Kapelner, T., Negro, F., Jiang, N., Bergmeister, K., Andalib, A., Principe, J., & Aszmann, O. C. (2017) · Nature Biomedical Engineering

Muscle activation and electromyography studiesNeuroscience and Neural Engineering

Cited by 359

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

Jiang, N., Rehbaum, H., Vujaklija, I., Graimann, B., & Farina, D. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics

Cited by 269

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

Xu, R., Jiang, N., Lin, C., Mrachacz-Kersting, N., Dremstrup, K., & Farina, D. (2014) · IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer InterfacesMuscle activation and electromyography studies

Cited by 219

Comparing user-dependent and user-independent training of CNN for SSVEP BCI

Ravi, A., Beni, N. H., Manuel, J., & Jiang, N. (2020) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 165

Exploration of working memory retrieval stage for mild cognitive impairment: time-varying causality analysis of electroencephalogram based on dynamic brain networks

Jiang, Y., Guo, Z., Zhou, X., Jiang, N., & He, J. (2025) · Journal of NeuroEngineering and Rehabilitation

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 7