Journal Publications

2015

          http://www.ncbi.nlm.nih.gov/pubmed/26174910

          http://www.ncbi.nlm.nih.gov/pubmed/26382606

  •  Roche, A. D., Vujaklija, I., Amsuess, S., Sturma, A., Göbel, P., Farina, D., & Aszmann, O. C. (2015). Structured rehabilitation training for improved multifunctional prosthetic control : A Case Study. Journal of Visualized Experiments.
  • Amsuess, S., Vujaklija, I., Gobel, P., Roche, A., Graimann, B., Aszmann, O., & Farina, D. (2015). Context-Dependent Upper Limb Prosthesis Control for Natural and Robust Use. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1–1.

          http://doi.org/10.1109/TNSRE.2015.2454240

  • Ison, M., Vujaklija, I., Whitsell, B., Farina, D., & Artemiadis, P. (2015). High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm. IEEE in Transactions on Neural Systems & Rehabilitation Engineering, to appear, 1–10.

          http://www.ncbi.nlm.nih.gov/pubmed/25838524

 

2014: 

  • Farina, D., Rehbaum, H., Holobar, A., Vujaklija, I., Jiang, N., Hofer, C., … Aszmann, O. (2014). Non-Invasive, Accurate Assessment of the Behavior of Representative Populations of Motor Units in Targeted Reinnervated Muscles. IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 4320(c).

          doi.org/10.1109/TNSRE.2014.2306000

  • Jiang, N., Vujaklija, I., Rehbaum, H., Graimann, B., & Farina, D. (2014). Is accurate mapping of EMG signals on kinematics needed for precise online myoelectric control? IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 22(3), 549–58.

          http://doi.org/10.1109/TNSRE.2013.2287383

  • Jiang, N., Rehbaum, H., Vujaklija, I., Graimann, B., & Farina, D. (2014). Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees. IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 22(3), 501–10.

          http://doi.org/10.1109/TNSRE.2013.2278411

  • Binghui Wang, Chuang Lin*, Xin Fan, Ning Jiang, and Dario Farina, “Hierarchical Bayes based Adaptive Sparsity in Gaussian Mixture Model”, Pattern Recognition Letters, Vol. 49C, pp. 238-247, July. 2014. SCI impact factor:1.551

          http://www.sciencedirect.com/science/article/pii/S0167865514002256

  • Binghui Wang, Chuang Lin*, Xuefeng Zhao, Zheming Lu, “Neighborhood Sensitive Preserving Embedding for Pattern Classification”. IET Proceedings on Image Processing, Vol. 8, No. 8, pp. 489-497, August, 2014, SCI impact factor: 0.895.

          http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6867034

2013: 

2012:

2011: