Full List of Publications
Accepted or Published Journal Articles
- A. Mituniewicz, V. Nalam, H. Huang, “A Novel Approach to Assess Coordination in People with Transtibial Amputations Using Continuous and Event Relative Phase”, Journal of Biomechanics, 2025 (Accepted)
- J. Berman, IC Lee, J Yin, H. Huang. “An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning“, IEEE Trans on Neural System and Rehabilitation Engineering, 2024 (Accepted)
- X. Bai, J. Yuan, M. Liu, H. Huang, J. Feng, “Human factors considerations of Interaction between wearers and intelligent lower-limb prostheses: a prospective discussion“, Journal of NeuroEngineering and Rehabilitation, 2024 (Accepted)
- Q. Zhang, J. Si, X. Tu, M. Li, M. Lewek, H. Huang, “Towards Task-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 (Accepted)
- J. Park, M. Zahabi, H. Huang, & M. Benden, “A novel approach for predicting usability of upper limb prostheses”.Applied Ergonomics, 120, 104344, 2024
- F. Valero-Cuevas*, J. Finley, A. Orsborn, N. Fung, J. Hicks. H. Huang, D. Reinkensmeyer, N. Schweighofer, D. Weber, K. Steele, “NSF DARE – Transforming modeling in neurorehabilitation: four threads for catalyzing progress”, Journal of NeuroEngineering and Rehabilitation, 2024
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H. Huang, L. Hargrove, M. Ortiz-Catalan, J Sensinger, “Integrating upper-limb prostheses with the human body: technology advances, readiness, and roles in human–prosthesis interaction”, Annual Review of Biomedical Engineering, 2024
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Y Liu, J Berman, A Dodson, J Park, M Zahabi, H Huang, D. Kaber, “Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes”, IEEE Transactions on Human-Machine Systems, 2024
- N. Rubin, R. Hinson, K. Saul, W. Filer, X Hu, H. Huang, “Modified motor unit properties in residual muscle following transtibial amputation”, Journal of Neural Engineering, 2024
- N. Rubin, R. Hinson, K. Saul, X Hu, H. Huang, “Ankle Torque Estimation with Motor Unit Discharges in Residual Muscles following Lower-Limb Amputation”, IEEE Trans on Neural System and Rehabilitation Engineering, 2023
- A. Naseri, IC Lee, H. Huang, M. Liu*, “Investigating the Association of Quantitative Gait Stability Metrics with User Perception of Gait Interruption due to Control Faults during Human-Prosthesis Interaction”, IEEE Trans on Neural System and Rehabilitation Engineering,2023
- A. Fleming, W. Liu, and H Huang. “Neural Prosthesis Control Restores Near-Normative Neuromechanics in Standing Postural Control”,Science Robotics, 8, eadf5758, 2023 (Research News at NC State https://news.ncsu.edu/2023/10/robotic-ankles-move-naturally/ and has been featured on NSF News, National Academy of Engineering Frontiers website, etc.)
- LE Fisher, RA Gaunt, and H Huang. “Sensory Restoration for Improved Motor Control of Prostheses.”Current Opinion in Biomedical Engineering, 100498, 2023
- A. Abbas, A Fleming, V Nalam, M Liu, J Dean, and H Huang. “Abduction/Adduction Assistance From Powered Hip Exoskeleton Enables Modulation of User Step Width During Walking.” IEEE Transactions on Biomedical Engineering, 2023 (Awarded with “Feature Article” for Jan 2024 Issue)
- Y Hong, Y Zhao, J Berman, Y Chi, Y Li, H Huang, J. Yin*, “Angle-programmed tendril-like trajectories enable a multifunctional gripper with ultradelicacy, ultrastrength, and ultraprecision”, Nature Communication, 2023
- Perspective Article by H Huang and IC Lee: “AI enables symbiotic robotic prosthetics” in “Artificial intelligence meets medical robotics”, Science Magazine, 2023
- R. Hinson, J. Berman, IC Lee, W. Filler, H. Huang, “Offline Evaluation Matters: Investigation of the Influence of Offline Performance of EMG-based Neural-Machine Interfaces on User Adaptation, Cognitive Load, and Physical Efforts in a Real-Time Application”, IEEE Trans on Neural System and Rehabilitation Engineering, 2023, (Accepted)
- J Park, J Berman, A Dodson, J Liu, M Armstrong , H Huang, D Kaber, J Ruiz, M Zahabi*. “Assessing Workload in Using Electromyography (EMG)-based Prostheses”. Ergonomics. 2023
- X. Gao, J. Si, H. Huang, “Value Function Based Reinforcement Learning Control with Knowledge Shaping”, IEEE Trans Neural Network and Learning Systems, 2023
- A. Alili, V. Nalam, M. Li, M. Liu, J. Feng, J. Si, H Huang, “A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis”, IEEE Trans on Neural System and Rehabilitation Engineering, V31, pp 895– 903, 2023
- M Liu*, A. Naseri, IC Lee, X. Hu, M. Lewek, H Huang, “A Simplified Model for Whole-body Angular Momentum Calculation”, Medical Engineering and Physics, 111, 103944, 2023
- R. Hinson, J. Berman, W. Filler, D. Kamper, H. Huang, “Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-time Operation of Electromyography-based Neural-Machine Interfaces”, IEEE Trans on Neural System and Rehabilitation Engineering, 2023, (Accepted)
- BL Fylstra, IC Lee, M. Lewek, H. Huang, “Human-prosthesis cooperation: combining adaptive prosthesis control with visual feedback guided gait”, Journal of NeuroEngineering and Rehabilitation, 2022
- M. Li, W. Liu, J. Si, J. Stallrich, H. Huang*, “Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Gait Symmetry”, IEEE Trans on Biomedical Engineering, 2022 (Accepted)
- J. Berman, R. Hinson, I Lee, H. Huang, “Harnessing Machine Learning and Physiological Knowledge for a Novel EMG-Based Neural-Machine Interface”, IEEE Trans on Biomedical Engineering, 2022 (Accept)
- I. Lee, M. Liu, M. Lewek, X. Hu, W. Filer, H. Huang, “Towards Safe Wearer-Prosthesis Interaction: Evaluation of Gait Stability and Human Compensation Strategy under Faults in Robotic Transfemoral Prostheses”, IEEE Trans on Neural System and Rehabilitation Engineering, 2022
- L. Vargas, H. Huang, Y. Zhu, X. Hu, “Resembled Tactile Feedback for Object Recognition using Prosthetic Hand”, IEEE Robotic and Automation Letter, 2022
- Q. Zhang, V. Nalam, X. Tu, M. Li, J. Si, M. Lewek, H. Huang*, “Imposing Healthy Hip Movement Pattern and Range by Exoskeleton Control for Individualized Assistance”, IEEE Robotic and Automation Letter, 2022
- W. Liu, R. Wu, J. Si*, H. Huang*, “A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning”, IEEE Robotic and Automation Letter, 2022
- A. Naseri, M Liu, IC Lee, W. Liu, H. Huang*, “Characterizing Prosthesis Control Fault during Human-Prosthesis Interactive Walking Using Intrinsic Sensors”, IEEE RAL, 2022
- R. Hinson, K Saul, D. Kamper, H. Huang*, “Sensitivity Analysis Guided Improvement of an Electromyogram-driven Lumped Parameter Musculoskeletal Hand Model”, J of Biomechanics, 2022
- R. Wu, M. Li, W. Liu, Z. Yao, J. Si*, H Huang, “Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate with Human Intact Knee Motion” IEEE RAL, 2022
- J Yuan, X. Bai, B. Driscoll, M. Liu, Huang, F. Jing*, “Standing and Walking Attention Visual Field (SWAVF) Task: A New Method to Assess Visuospatial Attention During Walking”, Applied Ergonomics, 2022
- S. Yao, W. Zhou, R. Hinson, P. dong, S. Wu, J. Lves, X. Hu, H. Huang, Y. Zhu. “Ultrasoft Breathable Dry Electrodes for Electrophysiological Sensing and Myoelectric Control”, Advance Materials Technologies, pp. 210637, 2022
- M. Li, B. Zhong, E. Lobaton, H Huang, “Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode”, IEEE Trans Neural System and Rehabilitation, 2022
- IC Lee, B Fylstra, M Liu, T Lenzi, H Huang, “Is there a trade-off between economy and task goal variability in transfemoral amputee gait?” Journal of NeuroEngineering and Rehabilitation, 2022
- N. Rubin, Y. Zheng, H. Huang, X. Hu, “Finger Force estimation of individual fingers using motor unit discharges across multiple forearm postures”, IEEE Trans on Biomed Engr, 2022
- W Liu, J. Zhong, R. Wu, B. Flystra, J Si, H. Huang, “ Inferring Human-Robot Performance Objectives during Locomotion using Inverse Reinforcement Learning and Inverse Optimal Control”, IEEE Robotic and Automation Letter, 2022
- L Vargas, H Huang, Y Zhu, X Hu, “Evoked Tactile Feedback and Control Scheme on Functional Utility of Prosthetic Hand”, IEEE Robotic and Automation Letter, 2022
- V. Nalam, H Huang, “Empower prosthesis users with a hip exoskeleton”, Nature Medicine, 2021 (Invited Commentary)
- L Vargas, H Huang, Y Zhu, X Hu, “Object Recognition via Evoked Sensory Feedback during Control of a Prosthetic Hand”, IEEE Robotic and Automation Letter, 2021 (Accepted; Available Online)
- L Vargas, H Huang, Y Zhu, X Hu, “Closed-loop control of a prosthetic finger via evoked proprioceptive information”, Journal of Neural Engineering, 2021 (Accepted; Available Online)
- M Li, Y. Wen, X. Gao, J. Si*, H Huang*, “Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control”, IEEE Trans Robotics, 2021 (Accepted; Available Online)
- R Wu, Z. Yao, J. Si, H. Huang, “Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning”, IEEE/CAA Journal of Automatica Sinica, 2021 (Accepted; Available Online)
- A Fleming, N. Stafford, S. Huang, X. Hu, DP Ferris*, H Huang*, “Myoelectric Control of Robotic Lower Limb Prostheses: A Review of Electromyography Interfaces, Control Paradigms, Challenges and Future Directions”, Journal of Neural Engineering, 18041004, 2021
- H. Huang, J. Si, A. Brandt, M. Li, “Taking Both Sides: Seeking Symbiosis Between Intelligent Prostheses and Human Motor Control during Locomotion”, Current Opinion on Biomedical Engineering (invited paper), V20, 100314, 2021
- L. Vargas, H. Huang, Y. Zhu, X. Hu*, “Static and Dynamic Proprioceptive Recognition through Vibrotactile Stimulation”, Journal of Neural Engineering, 2021
- D. Farina., Vujaklija, I., Brånemark, R., Bull, A.M., Dietl, H., Graimann, B., Hargrove, L.J., Hoffmann, K.P., Huang, H.H., Ingvarsson, T. Janusson, H.B., K Kristjansson, T. Kuiken, S. Micera, T. Stieglitz, A. Sturma, D. Tyler, R. Weir, and OC Aszmann; “Toward higher-performance bionic limbs for wider clinical use”, Nature Biomedical Engineering, pp.1-13. 2021
- B. Zhong, R. L. da Silva, M. Tran, H. Huang and E. Lobaton, “Efficient Environmental Context Prediction for Lower Limb Prostheses,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021 (Accepted)
- X Gao; Si, Jennie; Wen, Yue; Li, Minhan; Huang, He, “Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration”, IEEE TNNLS, 2021 (Accepted)
- L Pan, H Huang, “A Robust Model-Based Neural-Machine Interface across Different Loading Conditions”, Biomedical Signal Processing and Control, 67, 102509. 2021
- J Tabor, Jordan, Talha Agcayazi, Aaron Fleming, Brendan Thompson, Ashish Kapoor, Ming Liu, Michael Lee, He Huang, Alper Bozkurt, and Tushar K. Ghosh. “Textile-based Pressure Sensors for Monitoring Prosthetic-Socket Interfaces.” IEEE Sensors Journal, 2021
- A Fleming, S. Huang, E. Buxton, F. Hodges, He Huang, “Direct Continuous EMG control of a Powered Prosthetic Ankle for Improved Postural Control after Guided Physical Training: a Case Study”, Wearable Technology, V2, e3, 2021
- J. Yuan, J, E. Kline, M. Liu, H Huang, J. Feng*, “Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review”, BMJ Open, 2021
- W. Wu, K Saul, He Huang* “Using reinforcement learning to estimate joint moments: An alternative solution to musculoskeletal-based biomechanics”, ASME Journal of Biomechanical Engineering, 2021
- IC. Lee*, M. Pacheco, M. Lewek, H. Huang, “Perceiving amputee gait from biological motion: kinematics cues and effect of experience level”, Scientific Reports, 2020 (Accepted)
- B. Fylstra, IC Lee, S Huang, A. Brandt, M. Lewek, H. Huang*, “Human-Prosthesis Coordination: A Preliminary Study Exploring Coordination With A Powered Ankle-Foot Prosthesis”, Clinical Biomechanics, 2020
- W. Wu, S. Yao, Y. Liu, X. Hu, H. Huang, Y Zhu*, “Buckle-delamination enabled stretchable silver nanowire conductors”, ACS Applied Materials and Interfaces, 2020
- M. Liu*, D. Kamper, H. Huang, “An Easy-to-Use Socket-Suspension Monitoring System for Lower Limb Amputees”, IEEE Transactions on Instrumentation & Measurement, 2020
- B. Zhong, H. Huang*, E. Lobaton*, “Reliable Vision-Based Grasping Target Recognition for Upper-limb Prostheses”, IEEE Trans on Cybernetics, 2020 (Accepted)
- L. Pan, L. Vargas, X. Hu, Y. Zhu, H. Huang*, “Evoking Haptic Sensations in the Foot through High-Density Transcutaneous Electrical Nerve Stimulations”, Journal of Neural Engineering, 2020 (Accepted)
- Y. Wen, M. Li, J. Si, H. Huang, “Wearer-Prosthesis Interaction for Symmetrical Gait: A Study Enabled by Reinforcement Learning Prosthesis Control”, IEEE Transactions on Neural System and Rehabilitation Engineering, 2020
- B. Zhong, RL da Silva, M. Li, H. Huang*, E. Lobaton*, “Environmental context Prediction for Lower Limb Prosthesis with Uncertainty Quantification”, IEEE Trans on Automation Science and Engineering, 18(2), pp 458-70, 2021
- M. McKnight, J. Tabor, T. Agcayazi, A. Fleming, T. Ghosh, H. Huang, A. Bozkurt*, “Fully-textile Insole Seam-line for Multi-modal Sensor Mapping”, IEEE Sensor, 2020
- J. Stallings, MD Islam, AM Staicu, D. Crouch, L. Pan, H. Huang, “Optimal EMG Placement for a Robotic Prosthesis Controller with Sequential, Adaptive Functional Estimation”, Annals of Applied Statistics, 2020
- L. Vargas, H. Huang, Y. Zhu, X Hu, “Object shape and surface topology recognition using tactile feedback evoked through transcutaneous nerve stimulation”, IEEE Trans on Haptics, 2020
- Y. Wen, J Si, A. Brandt, X. Gao, H. Huang*, “Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis”, IEEE Transactions on Cybernetics, 50(6), pp. 2346 – 2356, 2020 (Research News at NC State https://news.ncsu.edu/2019/01/reinforcement-learning-expedites-tuning-of-robotic-prosthetics/and IEEE Spectrum https://spectrum.ieee.org/the-human-os/biomedical/bionics/ai-helps-humans-walk-on-robot-prosthetic-knee)
- A. Brandt*, H. Huang, “Effects of Extended Stance Time on a Powered Knee Prosthesis and Gait Symmetry on Unilateral Amputees’ Lateral Control of Balance during Walking”, Journal of Neuroengineering and Rehabilitation, 16(1):151, 2019
- L. Vargas, H. Shin, H. Huang, Y. Zhu, X. Hu*; “Object Stiffness Recognition using Haptic Feedback Delivered through Transcutaneous Proximal Nerve Stimulation.” Journal of Neural Engineering, 2019
- A. Brandt, W. Riddick, J. Stallrich, M. Lewek, H. Huang*, “Effects of Extended Powered Knee Prosthesis Stance Time via Visual Feedback on Gait Symmetry of Individuals with Unilateral Amputation: A Preliminary Study”, Journal of NeuroEngineering and Rehabilitation, 16:112, 2019
- L. Pan, D. Crouch, H. Huang*, “Comparing EMG-based human-machine interfaces for estimating continuous, coordinated movements”, IEEE Transactions on Neural System and Rehabilitation Engineering, 2019
- T. Zhang*, H Huang#,“Development of a Modular Clutchable Soft Actuator for Reconfigurable Wearable Exoskeletons”, IEEE Trans on Mechatronics, 2019
- L. Vagar, G. Whitehouse, H. Huang,Y. Zhu, X. Hu*, “Evoked Haptic Sensation in the Hand with Concurrent Non- Invasive Nerve Simulation”, IEEE Trans on Biomedical Engineering, 2019
- A. Fleming, S. Huang, H. Huang*, “Proportional Myoelectric Control of a Virtual Inverted Pendulum using Residual Antagonistic Muscles: Toward Voluntary Postural Control”, IEEE Transactions on Neural System and Rehabilitation Engineering, 27(7),1473-82,2019
- T. Zhang*, Minh Tran, H. Huang#, “Admittance shaping-based assistive control of SEA-driven hip exoskeleton”, IEEE Transactions on Mechatronics, 24(4), pp. 1508 – 1519, 2019
- M. Zahabi, M White, W Zhang, AT. Winslow, F Zhang, H Huang, DB Kaber*, “Application of Cognitive Task Performance Modeling for Assessing Usability of Transradial Prostheses”, IEEE Human-Machine Systems,49(4), 381-7; 2019
- Q. Qin, S. Yao, H. Huang,Y Zhu*, “Electrocardiogram of a Silver Nanowire Based Dry Electrode: Quantitative Comparison with the Standard Ag/AgCl Gel Electrode”, IEEE Access,V7, pp. 20789-800, 2019
- S. Huang*, H. Huang#,“Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Reciprocal Activation, Co-activation, and Implications for Direct Neural Control of Powered Lower Limb Prostheses”, IEEE Transactions on Neural System and Rehabilitation Engineering, 27(1), 85-95, 2019
- DL Crouch*, L. Pan, W. Filer, J. Stallings, H Huang#, “Comparing surface and intramuscular Electromyography for real-time control of a musculoskeletal model-based neural-machine interface: a pilot study”, IEEE Transactions on Neural System and Rehabilitation, 26(9), 1735-1744, 2018
- H Shin, Z, Watkins^, H. Huang, Y. Zhu, X. Hu*, “Evoked haptic sensations in the hand via non-invasive proximal nerve stimulation”, Journal of Neural Engineering,15 046005, 2018
- L. Pan, D. Crouch, H Huang*, “Myoelectric Control based on a Generic Musculoskeletal Model: Towards A Multi-User Neural-Machine Interface”,IEEE Transactions on Neural System and Rehabilitation, 26(7), pp. 1435 – 1442, 2018 (https://news.ncsu.edu/2018/05/generic-model-prosthetic-2018/The original news at NC State was also highlighted by UNC, NSF Science 360, P&O Edge, Science Daily, etc.)
- T. Zhang*, H. Huang#,“Industrial handling augmentation by a lower-back robotic exoskeleton”, IEEE Robotics and Automation Magazine, 25(2), 95-106, 2018
- S. Huang*, H. Huang#,“Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses”,IEEE Transactions on Neural System and Rehabilitation, 26(4), pp. 894-903, 2018
- L Resnik*, H. Huang*, A. Winslow, D. Crouch, F. Zhang, N. Wolk, “Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control”, Journal of Neuroengineering and Rehabilitation, 15(1), P.23, 2018
- T Zhang*, Minh Tran^, H. Huang,“Design and experimental verification of hip exoskeleton with balance capacities for walking assistance” IEEE Transactions on Mechatronics, 23(1),pp. 274 – 285, 2018
- A Brandt, Y. Wen, M. Liu, H Huang, “Interactions between transfemoral amputees and a powered knee prosthesis during load carriage”, Scientific Reports,7(1): 14480, 2017 (Featured on the front page of NSF Science 360 as a top story https://news.science360.gov/obj/story/07975f4d-0ac5-488c-ae17-52de5468c1a6/study-shows-need-adaptive-powered-knee-prosthesis-assist-amputees)
- M White, W Zhang, M Zahabi, AT. Winslow, F Zhang, H Huang, D Kaber*, “Usability comparison of conventional direct control versus pattern recognition control of transradial prostheses”, IEEE Transactions onHuman-Machine Systems, 47(6), pp.1146-52, 2017
- M. Liu, F. Zhang, H. Huang*, “An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition”, Sensors, 17(9): 2020, 2017
- Y. Wen, J. Si, X. Gao, S. Huang, H. Huang*, “A new powered lower limb prosthesis control framework based on adaptive dynamic programming”, IEEE Trans on Neural Network and Learning Systems, 28(9), pp. 2215-20, 2017
- F. Zhang, P. Bohlen, M. Lewek, H. Huang*, “Prediction of intrinsically caused trips in individuals with stroke”, IEEE Trans Neural Syst Rehabil Eng, 25(8), pp.1202-10,2017
- DL Crouch*,H. Huang, “Musculoskeletal model-based control interface mimics physiologic hand dynamics during path tracing task”, Journal of Neural Engineering, 14(3), 036008, 2017
- DL Crouch*, H. Huang, “Lumped-Parameter EMG-Driven Musculoskeletal Hand Model: A Potential Platform For Real-Time Control”, Journal of Biomechanics, 49(16), pp.3901-07, 2016
- 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, 44(5), pp. 1613-24, 2016 (featured on the front page of NSF website and NSF Science channelhttp://science360.gov/obj/video/182b2562-155f-455a-9926-af5544ead9e6/nsf-science-now-episode-37)
- 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, 24(4) pp. 434-43, 2016
- L. Contreras-Vidal*, A. Kilicarslan, H. Huang, R. G. Grossman, “Human-Centered design of wearable neuroprostheses and exoskeletons”, AI Magazine, 36(4), 12-22, 2015
- 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 Myer, H. Huang, Y. Zhu*, “Wearable Silver Nanowire Dry Electrodes for Bioelectronic Sensing”, RSC Advances, 5(15), pp. 11627-32, 2015
- 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, 166-1732015
- 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 (featured by NSF Science Channel http://science360.gov/obj/video/b8e8abba-a1fc-49c8-a1c1-ab7e42dd1d35/nsf-science-now-episode-29)
- F. Zhang, M. Liu, S.Harper,M Lee,H. Huang*, “Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis”, Journal of Visualized Experiments, (89), e51059,2014
- L. Liu*, F Zhang, P. Datseris, H. Huang#, “Improving finite state impedance control of active transfemoral prostheses using Dempster-Shafer state transition rules”, Journal of Intelligent and Robotic Systems,(76) 3-4, pp 461-74,2014
- F Zhang*, H. Huang#, “Source selection for real-time user intent recognition towards volitional control of artificial legs”, IEEE Journal of Biomedical and Health Informatics,17(5), 907-914, 2013
- L Du, F. Zhang, M. Liu, H. Huang*, “Towards Design of an Environment-aware Adaptive Locomotion-Mode-Recognition System”, IEEE Trans Biomed Eng, 59(10): 2716-25, 2012
- X Zhang, Y. Liu, F. Zhang, Y. Sun, Q. Yang, H. Huang*, “On design and implementation of neural-machine interface for artificial legs”, IEEE Transactions on Industrial Informatics, Vol. 8(2), 418-29, 2012
- F Zhang, S.E. D’Andrea, M.J. Nunnery, S. Kay, H. Huang*. “Towards design of a stumble detector for artificial legs”. IEEE Trans Neural Syst Rehabil Eng, Vol. 19(5): 567-77, 2011
- 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), pp2867-75,2011
- Cao, H He*, H Huang. “LIFT: A New Framework of Learning from Testing Data for Face Recognition”. Neurocomputing, 74(6), pp. 916-929, 2011
- Huang*, F Zhang, Y Sun, H He “Design of a Robust EMG Sensing Interface for Pattern Classification”, Journal of Neural Engineering, vol. 7(5), pp 0565, 2010
- Tkach, H Huang*, TA Kuiken#, “Stability of time-domain EMG features for prosthetic device control”, Journal of NeuroEngineering and Rehabilitation, 7(1):21, 2010
- 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.
- LA. Miller*, R. D. Lipschutz, K. A. Stubblefield, B. A. Lock, H. Huang, T. W. Williams, 3rd, R. F. Weir, and T. A. Kuiken#, “Control of a six degree of freedom prosthetic arm after targeted muscle reinnervation surgery,” Arch Phys Med Rehabil, vol. 89, pp. 2057-65, 2008.
- H. Huang,P. Zhou, G. Li, and T. A. Kuiken*, “An analysis of EMG electrode configuration fortargeted muscle reinnervation based neural machine interface,” IEEE Trans Neural Syst Rehabil Eng, vol. 16, pp. 37-45, 2008.
- P. Zhou, M. M. Lowery, K. B. Englehart, H. Huang, G. Li, L. Hargrove, J. P. Dewald, and T. A. Kuiken*, “Decoding a new neural machine interface for control of artificial limbs,” J Neurophysiol, vol. 98, pp. 2974-82, 2007.
- TG. Sugar*, J. He, E. J. Koeneman, J. B. Koeneman, R. Herman, H. Huang, R. S. Schultz, D. E. Herring, J. Wanberg, S. Balasubramanian, P. Swenson, and J. A. Ward, “Design and control of RUPERT: a device for robotic upper extremity repetitive therapy,” IEEE Trans Neural Syst Rehabil Eng, vol. 15, pp. 336-46, 2007.
- H. Huang, S. L. Wolf, and J. He*, “Recent developments in biofeedback for neuromotor rehabilitation,” J Neuroeng Rehabil, vol. 3, pp. 11, 2006.
- 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.
Peer-Reviewed Conference Papers
- IC Lee, M. Liu, H. Huang, “Enhancing User-Prosthesis Integration through Intelligent Transparency”, IEEE RAS/EMBS International Conference on BioRob, Sep. 1-4, 2024 (Accepted)
- A Mituniewicz, W Hong, H. Huang, “Continuous Gait Phase Estimation from Translational Kinematics: Towards Implementation in Powered Ankle Prostheses”, IEEE RAS/EMBS International Conference on BioRob, Sep. 1-4, 2024 (Accepted)
- D Roper-Bryant, J. Berman, H. Huang, “Assisting Upper Limb Prosthesis with a Computer Vision System for Material Detection”, IEEE EMBC, 2024 (Accepted)
- A Alili, J. Tacca, V. Nalam, H. Huang, “Exploring the Impact of Continuous Mediolateral Torque Application by Hip Exoskeleton on the Gait Balance of Non-Disabled Individuals”, IEEE EMBC, 2024 (Accepted)
- Kim, M. Dickey, H. Huang, M. Liu, “Soft Variable Resistance Material for Pressure Sensing Platform”, IEEE EMBC, 2024 (Accepted)
- Yuan, X Bai, A Alili, M Liu, J Feng, and H Huang. “Finding a Natural Fit: A Thematic Analysis of Amputees’ Prosthesis Setting Preferences during User-Guided Auto-Tuning.” InProceedings of the Human Factors and Ergonomics Society Annual Meeting, p. 21695067231216121. Sage CA: Los Angeles, CA: SAGE Publications, 2023.
- A Alili, V Nalam, A Fleming, M. Liu, J Dean, He Huang, “Closed-Loop Feedback Control of Human Step Width During Walking by Mediolaterally Acting Robotic Hip Exoskeleton”, IEEE IROS, 2023 (Acceptance Rate =~40%)
- A Naseri, M Liu*, IC Lee, He Huang, “Development and Online Validation of an Intrinsic Fault Detector for a Powered Robotic Knee Prosthesis”, IEEE IROS, 2023 (Acceptance Rate =~40%)
- Q Zhang, X Tu, J Si, M Lewek, H Huang*, “A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement”, IEEE IROS, 2023 (Acceptance Rate =~40%)
- Hong, H. Huang, “Towards Personalized Impedance Control Using Principal Component Analysis for Powered Knee Prosthesis”, IEEE ICORR, 2023
- Driscol, M. Liu, and H. Huang, “1-D Manual Tracing Based on a High Density Haptic Stimulation Grid – a Pilot Effort”, 2023 IEEE World Haptics Conference (WHC) (Acceptance Rate =~45%)
- Wu, J Zhong, B. Wallace, X. Gao, H. Huang, J. Si, “Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking”, NeurIPS, 2022 (Acceptance Rate =~25%)
- C Shah, A Fleming, V Nalam, M Liu, H Huang, “Design of EMG-Driven Musculoskeletal Model for Volitional Control of a Robotic Ankle Prosthesis”, 2022 IEEE IROS, 2022 (Acceptance Rate = ~40%)
- V Nalam, X Tu, M Li, M Liu, J. Si, H. Huang, “Admittance Control based Human-in-the-loop Optimization for Hip Exoskeleton: A New Approach “, 2022 IEEE ICRA, 2022 (Acceptance Rate = ~40%)
- J Berman, R Hinson, H Huang, “Comparing Reinforcement Learning Agents and Supervised Learning Neural Networks for EMG-Based Decoding of Continuous Movements”, IEEE EMBC, 2021
- F Popp, M Liu, H Huang, “Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor”, IEEE EMBC, 2021
- W Liu, A Fleming, IC Lee, H Huang “Direct myoelectric control modifies lower limb functional connectivity: a case study”, IEEE EMBC, 2021
- N Rubin, W Liu, X Hu, H Huang, “Common Neural Input within and across Lower Limb Muscles: A preliminary Study”, IEEE EMBC, 2021
- Alili, V Nalam, M Li, M Liu, J Si, H. Huang, “User Controlled Interface for Tuning Robotic Knee Prosthesis” 2021 IEEE/RSJ IROS 2021 (Acceptance Rate = ~40%)
- Upadhye, C. Shah, M Liu, G. Buckner, H. Huang, “A Powered Prosthetic Ankle Designed for Task Variability, Energy Efficiency, and Safety-A Concept Validation” 2021 IEEE/RSJ IROS 2021 (Acceptance Rate = ~40%)
- X Tu, M Li, M Liu, J Si, H Huang, “A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton“, IEEE ICRA, 2021 (Acceptance Rate = ~40%)
- A. Fleming, W Liu, H Huang, “Neural Coherence of Homologous Muscle Pairs during Direct EMG Control of Standing Posture in Transtibial Amputees”, 2020 International Conference on Neurorehabilitation (ICNR), 2020
- R Wu, M Li, J Si and H Huang, “Understanding Human-Prosthesis Interaction via Reinforcement Learning-based Echo Control: A case study”, 2020 International Conference on Neurorehabilitation (ICNR), 2020
- L. Vargas, H. Huang, Y. Zhu, X. Hu, “Stiffness Perception using Transcutaneous Electrical Stimulation during Active and Passive Prosthetic Control”, Conf Proc IEEE Eng Med Biol Soc, 2020
- J. Park, M. Zahabi, D. Kaber, J. Ruiz, H. Huang, “Evaluation of activities of daily living testbeds for assessing prosthesis device usability”, IEEE ICHMS, 2020
- X Gao, J. Si, Y. Wen, M. Li, H Huang, “Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis”, IEEE ICRA, 2020 (Acceptance Rate = ~40%)
- M. Li, et al. Gaze Fixation Comparisons Between Amputees and Able-bodied Individuals in Approaching Stairs and Level-ground Transitions: A pilot study, Conf Proc IEEE Eng Med Biol Soc, 2019
- M. Liu, A. Lupiani, H. Huang, Identify Kinematic Features for Powered Prosthesis Tuning, IEEE ICORR,2019
- A Fleming, H. Huang, Proportional Myoelectric Control of a Powered Ankle Prosthesis for Postural Control under Expected Perturbation: A Pilot Study,IEEE ICORR,2019
- M. Li, X. Gao, Y. Wen, J. Si, H Huang, Offline policy interaction-based reinforcement learning controller for online robotic knee prosthesis parameter tuning, IEEE ICRA, 2019 (Acceptance Rate= ~40%)
- Gao, Y. Wen, M. Li, J. Si, H. Huang, Robotic knee parameter tuning using approximate policy iteration, International Conference on Cognitive Systems and Signal Processing, Springer, Singapore. pp. 554-563, 2018
- Wen, X. Gao, J. Si, A. Brandt, M Li, H Huang, Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop, International Conference on Cognitive Systems and Signal Processing, Springer, Singapore. pp. 463-73, 2018
- L. Pan, A. Harmody^, H. Huang, A Reliable Multi-User EMG Interface Based on A Generic-Musculoskeletal Model against Loading Weight Changes, Conf Proc IEEE Eng Med Biol Soc, 2018
- L. Vargas, H. Huang, Y. Zhu, X. Hu, Merged Haptic Sensation in the Hand during Concurrent Non-Invasive Proximal Nerve Stimulation,Conf Proc IEEE Eng Med Biol Soc, 2018
- A. Fleming, S. Huang, H. Huang, Coordination of Voluntary Residual Muscle Contractions in Transtibial Amputees: a Pilot Study,Conf Proc IEEE Eng Med Biol Soc, 2018
- V. Vempalal^, H. Huang, M. Liu, A Practical Approach for Pistoning Evaluation for Lower Limb Amputees,Conf Proc IEEE Eng Med Biol Soc, 2018
- B. Fylstra, C. Dai, X. Hu, H. Huang, Characterizing Residual Muscle Properties in Lower Limb Amputees Using High Density EMG Decomposition: A Pilot Study,Conf Proc IEEE Eng Med Biol Soc, 2018
- JP Diaz-Paz, RL da Silva, B. Zhong, Huang, E. Lobaton, Visual Terrain Identification and Surface Inclination Estimation for Improving Human Locomotion with a Lower-Limb Prosthetic,Conf Proc IEEE Eng Med Biol Soc, 2018
- T. Agcayazi, M. MaKnight, P. Sotory, H. Huang, T. Ghosh, A. Bozkurt, “A Scalable Shear and Normal Force Sensor for Prosthetic Sensing”, Conf. Prof. IEEE SENSORS, pp 1-3, 2017
- T. Zhang, Minh Tran, H. Huang,“NREL-Exo: a 4-DoFs Wearable Hip Exoskeleton for Walking and Balance Assistance in Locomotion”Conf. Prof. IEEE IROS, pp. 508-13, 2017 (Acceptance Rate = 44%)
- Y. Wen, A. Brandt, M. Liu, J. Si, H. Huang, Comparing Parallel and Sequential Control Parameter Tuning for a Powered Knee Prosthesis,Conf. Proc. IEEE Systems, Man, Cybernetics, pp. 1716-21, 2017
- S. Chang, D. Crouch, H. Huang, “Effects of output speed threshold on real-time continuous EMG human-machine interface control”, Conf. Proc. IEEE Systems, Man, Cybernetics, pp. 1375-80,2017
- L. Pan, D. Crouch, H. Huang,Musculoskeletal Model for Simultaneous and Proportional Controlof 3-DOF Hand and Wrist Movements from EMG Signals, Conf. Proc. IEEE Neural Engineering, pp. 325-8, 2017
- W Zhang, M White, M Zahabi, AT. Winslow, F Zhang, H Huang, D Kaber, Cognitive Workload in Conventional Direct Control vs. Pattern Recognition Control of an Upper-limb Prosthesis, Conf Proc. IEEE International Conference on Systems, Man, and Cybernetics,pp.002335-002340,2016
- D. Crouch, H. Huang,Simple EMG-Driven Musculoskeletal Model Enables Consistent Control Performance During Path Tracing Tasks, Conf Proc IEEE Eng Med Biol Soc,pp. 1-4, 2016
- Y. Wen, M. Liu, J. Si, Huang,Adaptive Control of Powered Transfemoral Prostheses Based on Adaptive Dynamic Programming,Conf Proc IEEE Eng Med Biol Soc,pp. 5071-74, 2016 (EMBC Student Paper Competition Finalist)
- Brandt, M. Liu, H. Huang, Does the Impedance of Above-knee Powered Prostheses Need to Adjusted for Load-carrying Conditions? Conf Proc IEEE Eng Med Biol Soc,pp. 5075-78, 2016
- Zhang, M. Liu, H. Huang, Tolerance of Neural Decoding Errors for Powered Artificial Legs: a Pilot Study, Conf Proc IEEE Eng Med Biol Soc,pp. 4630 – 4633,2016
- Anna Winslow, Justin Brantley, Fangshi Zhu, José Contreras-Vidal, He Huang, Corticomuscular Coherence Variation throughout the Gait Cycle during Overground Walking: A Preliminary Investigation, Conf Proc IEEE Eng Med Biol Soc, 4634 – 4637, 2016
- Liu, P. Bohlen, H. Huang, Effect of Environmental Factors on Level of Tripping Disturbance: A Simulation Study, Conf Proc IEEE Eng Med Biol Soc,pp. 5038-41, 2016
- Justin Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna Winslow, He Huang, José Contreras-Vidal*, Noninvasive EEG Correlates of Overground and Stair Walking, Conf Proc IEEE Eng Med Biol Soc, 5729-32, 2016
- Zhang, M. Liu, H. Huang, Detection of Critical Errors of Locomotion Mode Recognition for Volitional Control of Powered Transfemoral Prostheses, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,pp. 1128-1131,2015
- Crouch, H. Huang, Musculoskeletal Model Predicts Multi-joint Wrist and Hand Movement From Limited EMG Control Signals,37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,pp. 1132-1135, 2015
- Yang, F. Wu, M. Liu, H. Huang, An Optimization-based Approach for Prosthesis Dynamic Modeling and Parameter Identification,2015 Dynamic Systems and Control Conference, 2015
- Liu, F. Zhang, H. Huang.An Open and Configurable Embedded System for EMG Pattern Recognition Implementation for Artificial Arms.Proc of IEEE Engineering in Medicine and Biology Society. PP. 4095 – 4098,2014
- Myers, L. Du, H. Huang, Y. Zhu (2014). Novel Wearable EMG Sensors Based on Nanowire Technology. Proc of IEEE Engineering in Medicine and Biology Society. PP.1674 – 1677, 2014
- Zhang, H. Huang, “Practical implementation of robust sensor interface for EMG pattern recognition for artificial arm control”, International Conference on Advanced Limb Prosthetics (MEC’12),2014
- Wang, M. Liu, H. Huang, “Design of an expert system to automatically Calibrate impedance control for powered knee prostheses”, Conf Proc IEEE International Conference on Rehabilitation Robots, 2013
- Zhang, H. Huang, “Decoding Movement Intent of Patient with Multiple Sclerosis for the Powered Lower Extremity Exoskeleton”, Conf Proc IEEE Eng Med Biol Soc, pp. 4957-60, 2013
- Hernandez, X. Zhang, F. Zhang, Q. Yang, H.Huang,“Design and Implementation of a Low Power Mobile CPU Based Embedded System for Artificial Leg Control”, Conf Proc IEEE Eng Med Biol Soc, pp. 5769-72, 2013
- Zhang, H. Huang,Y. Qing, “Real-Time Implementation of a Self-Recovery EMG Pattern Recognition Interface for Artificial Arms”, Conf Proc IEEE Eng Med Biol Soc,pp.5926-29,2013
- Du, H. He, H. Huang,“Improving the performance of a neural-machine interface for prosthetic legs using adaptive pattern classifiers” Conf Proc IEEE Eng Med Biol Soc,pp.1571-4,2013
- Wang, L Du, H. Huang, “Terrain Recognition Improves the Performance of Neural-Machine Interface for Locomotion Mode Recognition”, International Conference on Computing, Networking and Communications, Workshops Cyber Physical System, pp. 87-92, 2013
- Zhang, M. Liu, H. Huang, “Preliminary Study of the Effect of User Intent Recognition Errors on Volitional Control of Powered Lower Limb Prostheses”, Conf Proc IEEE Eng Med Biol Soc, pp. 2768-2771, 2012
- Hernandez, F. Zhang, X. Zhang, H. Huang,Q. Yang, “Promise of a Low Power Mobile CPU Based Embedded System in Artificial Leg Control”, Conf Proc IEEE Eng Med Biol Soc, pp. 5250-5254, 2012
- Zhang, D. Wang, Q. Yang, H. Huang, “An Automatic and User-Driven Training Method for Locomotion Mode Recognition for Artificial Leg Control”, Conf Proc IEEE Eng Med Biol Soc, pp. 6116-6120, 2012
- Zhang,H. Huang, Q. Yang, “Implementing an FPGA System for Real-Time Intent Recognition for Prosthetic Legs”, Design Automation Conference, pp. 169-175, 2012 (Acceptance Rate = 24%)
- Zhang, H. Huang, “Real-time recognition of user intent for neural control of aritifcial legs”, International Conference on Advanced Limb Prosthetics (MEC’11),155-8, 2011
- Zhang, Z. Dou, M. Nunnery, and H. Huang, “Real-time implementation of an intent recognition system for artificial legs,”Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 2997-3000, 2011.
- 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, pp. 5207-10, 2011.
- Zhang, Z. Fang, M. Liu, and H. Huang, “Preliminary design of a terrain recognition system,” Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 5452-5, 2011.
- Huang, Z. Dou, F. Zhang, and M. J. Nunnery, “Improving the performance of a neural-machine interface for artificial legs using prior knowledge of walking environment,”Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 4255-8, 2011.
- Liu, F. Zhang, Y. L. Sun, and H. Huang, “Trust sensor interface for improving reliability of EMG-based user intent recognition,” Conf Proc IEEE Eng Med Biol Soc, vol. 2011, pp. 7516-20, 2011.
- Gao, F. Zhang, and H. Huang, “Investigation of sit-to-stand and stand-to-sit in an above knee amputee,” Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 7340-3, 2011
- Liu, P. Datseris, and H. Huang, “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.
- 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 2ndACM/IEEE International Conference on Cyber-Physical Systems, Chicago, IL, pp 67-76, 2011(10-page paper; Acceptance Rate = 27%)
- Zhang, Q Yang, H. Huang,“Design and implementation of a special purpose embedded system for Neural Machine Interface”, Conf Proc IEEE International Conference on Computer Design, Amsterdam, Netherland, pp 166-172, 2010 (Acceptance Rate = 20%)
- 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 (10-page paper; Acceptance Rate = 28%)
- A Lin, X. Zhang, Huang, and Q. Yang, “Design and implementation of an embedded system for neural-controlled artificial legs,” in IEEE Workshop on Health Care Management. Venice, Italy, pp. 1-6, 2010
- J. Hargrove, H. Huang, A. E. Schultz, B. A. Lock, R. Lipschutz, and T. A. Kuiken, “Toward the development of a neural interface for lower limb prosthesis control,” Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 2111-4, 2009.
- Xiao, H. Huang, Y. Sun, and Q. Yang, “Promise of embedded system with GPU in artificial leg control: Enabling time-frequency feature extraction from electromyography,” Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 6926-9, 2009.
- Balasubramanian, H. Huang, and J. He, “Quantification of dynamic property of pneumatic muscle actuator for design of therapeutic robot control,” Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 2734-7, 2006.
- Chen,H. Huang, W. Xu, R. I. Wallis, H. Sundaram, T. Rikakis, T. Ingalls, L. Olson, and J. He, “The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation,” in The 14th Annual ACM International Conference on Multimedia. Santa Barbara: ACM Press: New York, pp. 763-72, 2006
- Huang, Y. Chen, W. Xu, H. Sundaram, L. Olson, T. Ingalls, T. Rikakis, and J. He, “Novel design of interactive multimodal biofeedback system for neurorehabilitation,”Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 4925-8, 2006.
- Huang, T. Ingalls, L. Olson, K. Ganley, T. Rikakis, and J. He, “Interactive multimodal biofeedback for task-oriented neural rehabilitation,” Conf Proc IEEE Eng Med Biol Soc, vol. 3, pp. 2547-50, 2005.
- He, E. Koeneman, H. Huang, G. T. Sugar, R. Herman, and J. B. Koeneman, ” Design of a Robotic Upper Extremity Repetitive Therapy Device,” in Proceeding of IEEE 9th International conference on rehabilitation robotics. Chicago, IL, 2005, pp. 511-4.
- He, E. J. Koeneman, R. Schultz, D. Herring, J. Wanberg, H. Huang, T. Sugar, R. Herman, and J. B. Koeneman, “RUPERT: a Device for Robotic Upper Extremity Repetitive Therapy,” Conf Proc IEEE Eng Med Biol Soc, vol. 7, pp. 6844-7, 2005.
- Huangand H. Jiping, “Utilization of biomechanical modeling in design of robotic arm for rehabilitation of stroke patients,” Conf Proc IEEE Eng Med Biol Soc, vol. 4, pp. 2718-21, 2004.
- Huang, A. Papandreou-Suppappola, and H. Jiping, “Analysis of surface electromyogram during gait by modified mathcing pursuit decomposition,” in Conf Proc IEEE Eng Med Biol Soc, vol. 3. Cancun, Mexico, 2003, pp. 2402-5.
- R. Carhart, W. Willis, A. Thompson,H. Huang, S. D’Luzansky, J. Thresher, R. Herman, and J. He, “Mechanical and metabolic change in gait performance with spinal cord stimulation and reflex-FES,” in Conf Proc IEEE Eng Med Biol Soc, vol. 2. Cancun, Mexico, 2003, pp. 1558-61.
- Kuchi, R. Hiremagalur, H. Huang, M. Carhart, J. He, and S. Panchanathan, “DRAG: A Database for Recognition and Analysis of Gait,” in Proceeding of Internet Multimedia Management Systems, vol. 5242. Orlando, FL, 2003, pp. 115-24.
- Huang, J. He, M. Carhart, and R. Herman, “Change of muscle activation pattern by epidural stimulation on a SCI patient,” in Conf Proc IEEE Eng Med Biol Soc, vol. 1. Houston, TX, 2002, pp. 114-5.
Book Chapters
- S. Wolf, H. Huang, “Chapter 70: Evolution of Biofeedback in Physical Medicine and Rehabilitation”, in DeLisa’s Physical Medicine and Rehabilitation: Principles and Practice, 5thedition, eds. W. Frontera, Philadelphia: Lippincott Williams & Wilkins, 2010
- J. Si, & H.Huang, “Reinforcement Learning Control by Direct Heuristic Dynamic Programming”. In Women in Computational Intelligence (pp. 205-217). Springer, Cham.