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Publication List




Xiaorong Zhang, Yuhong Liu, Fan Zhang, Jin Ren, Yan Sun, Qing Yang, and Huang He, "On Design and Implementation of Neural-Machine Interface for Artificial Legs", accepted, IEEE Transactions on Industrial Informatics, 2012.

Xiaorong Zhang, He Huang, and Qing Yang, "Implementing an FPGA System for Real-time Intent Recognition for Prosthetic Legs," In Proceedings of the 49th Annual Design Automation Conference (DAC '12). ACM, New York, NY, USA, 169-175.


Xiaorong Zhang, Ding Wang, Qing Yang, and He Huang, "An Automatic and User-Driven Training Method for Locomotion Mode Recognition for Artificial Leg Control", Conf Proc IEEE Eng Med Biol Soc, (2012).





Huang H, F Zhang, L Hargrove, Z. Dou, D Rogers, K. Englehart. Continuous Locomotion Mode Identification for Prosthetic Legs based on Neuromuscular-Mechanical FusionIEEE Trans Biomed Eng, 58(1), pp 2867-75,2011


Zhang F, S.E. D'Andrea, M.J. Nunnery, S. Kay, H. Huang. Towards Design of a Stumble Detection System for Artificial LegsIEEE Trans Neural Syst Rehabil Eng, Vol. 19(5): 567-77, 2011


M. Liu, P. Datseris, and Huang H, "A Prototype for Smart Prosthetic Legs: Analysis and Mechanical Design," in Proceeding of International Conference on Control, Robotics and Cybernetics. New Delhi, India: IEEE, March 21-23, Vol. 1. pp. 139-143, 2011.

Yuhong Liu, Fan Zhang, Yan (Lindsay) Sun, He Huang, "Trust Sensor Interface for Improving Reliability of EMG-based User Intent Recognition", in proc. the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), Boston, MA, Aug-Sept, 2011.

X. Zhang, H. Huang, and Q. Yang, "A Special Purpose Embedded System for Neural Machine Interface for Artificial Legs" Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5207-10.


F. Zhang, W. DiSanto, J. Ren, Z. Dou, Q. Yang,?H. Huang,?"A Novel CPS System for Evaluating a Neural-Machine Interface for Artificial Legs", in?Proceeding of 2nd?ACM/IEEE International Conference on Cyber-Physical Systems,?Chicago, IL, USA, 2011





Tkach D, H. Huang, TA Kuiken, Study of Time-domain EMG Features for Electromyographic Pattern RecognitionJournal of NeuroEngineering and Rehabilitation, 7:21, 2010

Huang H, F Zhang, Y Sun, H He. 
Design of a Robust EMG Sensing Interface for Pattern Classification,Journal of Neural Engineering, 7(5), 2010

Zhang F., A. Burke, F. Sierra, S.E. D'Andrea, M.J. Nunnery, and H. Huang. "Neuromuscular response to stumbling in healthy subjects and patients with transfemoral amputations ", in The 40th Annual Meeting of Society for Neuroscience. San Diego, CA, 2010.

He Huang, Fan Zhang, Yan Sun and Haibo He, "Design of a Robust EMG Sensing Interface for Pattern Classification", Journal of Neural Engineering, Vol. 7, No. 5, 2010.

H. Huang, Y. Sun, Q, Yang, F. Zhang, X Zhang, Y. Liu, J. Ren, F. Sierra, "Integrating Neuromuscular and Cyber systems for Neural Control of Artificial Legs", in Proceeding of First ACM/IEEE International Conference on Cyber-Physical Systems, Stockholm, Sweden, pp. 129-138, 2010.

"Design and Implementation of an Embedded System for Neural-Controlled Artificial Legs" IEEE WHCM, Venice, Italy, Feb. 2010.


X. Zhang, H. Huang, and Q. Yang, "Design and Implementation of a Special Purpose Embedded System for Neural Machine Interface," 2010 IEEE International Conference on Computer Design (ICCD), pp 166-172, Oct. 3-6, 2010.





Huang H,  Zhou P, Li G, Kuiken TA, Spatial Filters Improves EMG Classification Accuray Following Targeted Muscle ReinnervationAnnals of Biomedical Engineering, 37(9), 1849-57, 2009

Huang H, Kuiken T A, Lipschutz R. A Strategy for Identifying Locomotion Modes using Surface ElectromyographyIEEE Trans Biomed Eng, 56(1) 65-73 2009.

Hargrove L, Huang H, Blair L, Shultz A, Lipschutz R, Kuiken, TA, Toward the Development of a Neural Interface for Lower Limb Prosthesis ControlProceedings of the 31st IEEE EMBS Annual International Conference, Minneapolis, MN, Sep 2-6, 2009

Xiao W,  Huang H, Sun Y, Yang Q, Promise of Embedded System with GPU in Artificial Leg Control: Enabling Time-frequency Feature Extraction fromElectromyography , Proceedings of the 31st IEEE EMBS Annual International Conference, Minneapolis, MN, Sep 2-6, 2009