Title:

Professor of Biomedical Engineering - Director of the Rehabilitation Engineering Core

Office Information:

NC State University
4402C Engineering Building III
Raleigh, NC 27695
(919) 515-5218

UNC Chapel Hill
150A MacNider Hall
Chapel Hill, NC 27514

Education:

Post-doc, Rehabilitation Institute of Chicago, Chicago, IL, USA
Ph.D., Arizona State University, Tempe, AZ, USA
M.S., Arizona State University, Tempe, AZ, USA
B.S., Xi'an Jiaotong University, China

Email:

hhuang11@ncsu.edu, helen-huang@unc.edu

Lab Site:

http://nrel.bme.unc.edu

Additional Links:

http://clear.bme.unc.edu

Research and Publications:

Rehabilitation Engineering

Neural-machine interface, wearer-robot interaction, prosthetics and exoskeleton, human-machine symbiosis, rehabilitation engineering
My research interest lies in science and technology that can establish and enhance a symbiotic relationship between humans and wearable machines in order to augment human physical abilities. My research goal is to create breakthroughs in human-machine symbiotic (HMS) systems that empower disabled people to lead more active and productive lives.
To achieve this overarching goal, my current research focuses on understanding how limb amputees and robotic prostheses interact with each other and their environments and development of advanced control for robotic prostheses, which are adaptive, efficient, and safe, in order to restore the motor function in individuals with limb amputations. Three research thrusts have been formulated in my lab.
Thrust 1: Investigation of neuromuscular control and sensorimotor integration in limb amputees and development of neural-machine interfaces for neural control of artificial limbs
Thrust 2: Investigation of wearer-machine co-adaptation and development of optimal adaptive control for robotic prostheses that provide personalized assistance and can adapt to changes in wearers and environments.
Thrust 3: Investigation of error correction and tolerance in human-machine symbiotic (HMS) systems and development of fault tolerant control for robotic prosthetic legs to improve the wearer’s stability and safety
Current Projects 1. Understanding and Analyzing User-Prosthesis Interaction for Designing a Volitional Controller for Powered Lower Limb Prostheses
2. Building the Foundation of Clinical Practice of EMG Pattern Recognition for Prosthetic Arm Control3. Multi-modal Neural-Machine Interface for Wearable Robots4. Neuromuscular Model-Based Prosthesis ControlOpportunities:
1. Two RA position for 2016-2017 is open immediately. If you have research interests and background in statistical signal processing, machine learning, robotics, and/or control, and have been admitted at NC State or UNC, please contact Dr. Huang directly.
2. One post-doc position is available from 01/2016 in the area of motor control and learning and haptics. Please contact Dr. Huang directly if you are interested.  3. If you are undergraduate students in Biomedical, Mechanical, Electrical, or Computer Engineering and are interested in working in our lab, please directly send your resume/CV to Dr. Ming Liu Honors: 2015 Selected Participant for U.S. Frontiers of Engineering Symposium, National Academy of Engineering, USA 2012 IEEE Senior Member 2012 NSF Faculty Early CAREER Award, National Science Foundation, USA 2011 Outstanding Intellectual Property Development, Awarded by the President of URI 2008 Winner, the Delsys Prize for Innovation in Electromyography, Delsys Inc. MA, USA 2008 Switzer Research Fellowship: National Institute on Disability and Rehabilitation Research (NIDRR), U.S. Department of Education 2007 Globe Foundation Fellowship, Deerfield, IL, USA 2003 Outstanding Research Assistant (Accolades, May 2003), Arizona State University 1999 “XEROX” Fellowship, awarded by XEROX Corp., Shenzhen, China 1998 Lee Fook-sean Fellowship, awarded by Lee Fook-sean, the chief justice of Hong Kong

Selected peer-reviewed journal publications

H. Huang*, D. Crouch, M. Liu, G. Sawicki, D. Wang. “A cyber expert system for auto-tuning powered prosthesis impedance control parameters”, Annals Biomedical Engineering, 2015 (In Press)

M. Liu, D. Wang, H. Huang*, “Development of an environment-aware locomotion mode recognition system for powered lower limb prostheses”, IEEE Trans Neural Syst Rehabil Eng, 2015 (In Press)

F. Zhang*, M. Liu, H. Huang, “Investigation of timing to switch control mode in powered knee prostheses during task transitions”, PLoS One, (10)7, 2015

X. Zhang, H. Huang*, “A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition”, Journal of NeuroEngineering and Rehabilitation, 12:18, 2015

A. C. Myer, H. Huang, Y. Zhu*, “Wearable Silver Nanowire Dry Electrodes for Bioelectronic Sensing”, RSC Advances, 5(15), pp. 11627-32, 2015

G. Hefferman, F. Zhang, M. Nunnery, H. Huang*, “Integration of surface EMG sensors with the transfemoral amputee socket: a comparison of four differing configurations”, Prosthetics and Orthotics International, (39) 2, 166-173 2015

F. Zhang, M. Liu, H. Huang*, "Effects of locomotion mode recognition errors on volitional control of powered above-knee prostheses", IEEE Trans Neural Syst Rehabil Eng, 23(1), pp. 64-72, 2015

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

H. Huang, P. Zhou, G. Li, and T. Kuiken, "Spatial filtering improves EMG classification accuracy following targeted muscle reinnervation," Ann Biomed Eng, vol. 37, pp. 1849-57, 2009.

H. Huang, T. A. Kuiken, and R. D. Lipschutz, "A strategy for identifying locomotion modes using surface electromyography," IEEE Trans Biomed Eng, vol. 56, pp. 65-73, 2009. (One of most cited papers in IEEE TBME in recent 5 years http://tbme.embs.org/research-highlights/most-cited-articles/)

H. Huang, J. He*, R. Herman, and M. R. Carhart, "Modulation effects of epidural spinal cord stimulation on muscle activities during walking," IEEE Trans Neural Syst Rehabil Eng, vol. 14, pp. 14-23, 2006.

Link to publications