Xiaogang Hu
Huck Chair in Neurorehabilitation; Associate Professor of Mechanical Engineering, Kinesiology, and Physical Medicine & Rehabilitation
-
205 Reber
University Park, PA - he/him/his
- xxh120@psu.edu
- 814-865-2510
Research Summary
Neural-machine interface, somatosensory feedback, neural control of biological and bionic hands, neuromuscular disorder.
Huck Affiliations
Links
Most Recent Publications
Spatial-Temporal Dynamics of Evoked Action in Finger Flexors: Implications for Optimizing Transcutaneous Nerve Stimulation
Susan K. Coltman, Luis Vargas, Xiaogang Hu, 2025, IRE transactions on medical electronics on p. 1519-1529
Unsupervised Neural Decoding to Predict Dexterous Multi-Finger Flexion and Extension Forces
Long Meng, Xiaogang Hu, 2025, IEEE Journal of Biomedical and Health Informatics on p. 1959-1969
Decomposing Task-Relevant Information from Surface Electromyogram for User-Generic Dexterous Finger Force Decoding
Jiahao Fan, Xiaogang Hu, 2024, IEEE Journal of Biomedical and Health Informatics on p. 3907-3917
Modified motor unit properties in residual muscle following transtibial amputation
Noah Rubin, Robert Hinson, Katherine Saul, William Filer, Xiaogang Hu, He Huang, He (Helen) Huang, 2024, Journal of Neural Engineering
Soft Exoskeleton Combined with Stimulation for Hand Therapy
Mohammad Ghassemi, Andrew Sprague, Xiaogang Hu, Derek Kamper, 2024, 2024 Proceedings of IEEE Engineering in Medicine and Biology Society EMBC Conference
Unsupervised Decoding of Multi-Finger Forces Using Neuronal Discharge Information with Muscle Co-Activations
Long Meng, Xiaogang Hu, 2024,
Quantifying Muscle Co-Activation for Impaired Finger Independence in Stroke Survivors
Yuwen Ruan, Henry Shin, Xiaogang Hu, 2024, IRE transactions on medical electronics on p. 1-9
Hand Functional Impairment in Stroke Survivors Using Coherence Analysis
Yuwen Ruan, Henry Shin, Xiaogang Hu, 2024,
Towards Efficient Neural Decoder for Dexterous Finger Force Predictions
Jiahao Fan, Xiaogang Hu, 2024, IRE transactions on medical electronics on p. 1831-1840
Unsupervised neural decoding for concurrent and continuous multi-finger force prediction
Long Meng, Xiaogang Hu, 2024, Computers in Biology and Medicine
Most-Cited Papers
Myoelectric control of robotic lower limb prostheses: A review of electromyography interfaces, control paradigms, challenges and future directions
Aaron Fleming, Nicole Stafford, Stephanie Huang, Xiaogang Hu, Daniel P. Ferris, He Helen Huang, 2021, Journal of Neural Engineering
Multifunctional Electronic Textiles Using Silver Nanowire Composites
Shanshan Yao, Ji Yang, Felipe R. Poblete, Xiaogang Hu, Yong Zhu, 2019, ACS applied materials & interfaces on p. 31028-31037
Finger Joint Angle Estimation Based on Motoneuron Discharge Activities
Chenyun Dai, Xiaogang Hu, 2020, IEEE Journal of Biomedical and Health Informatics on p. 760-767
Extracting extensor digitorum communis activation patterns using high-density surface electromyography
Xiaogang Hu, Nina L. Suresh, Cindy Xue, William Z. Rymer, 2015, Frontiers in Physiology
Evoked haptic sensations in the hand via non-invasive proximal nerve stimulation
He Huang, Henry Shin, Zach Watkins, Yong Zhu, Xiaogang Hu, 2018, Journal of Neural Engineering
Real-time isometric finger extension force estimation based on motor unit discharge information
Yang Zheng, Xiaogang Hu, 2019, Journal of Neural Engineering
Changes in motor unit behavior following isometric fatigue of the first dorsal interosseous muscle
Lara McManus, Xiaogang Hu, William Z. Rymer, Madeleine M. Lowery, Nina L. Suresh, 2015, Journal of Neurophysiology on p. 3186-3196
Muscle fatigue increases beta-band coherence between the firing times of simultaneously active motor units in the first dorsal interosseous muscle
Lara McManus, Xiaogang Hu, William Z. Rymer, Nina L. Suresh, Madeleine M. Lowery, 2016, Journal of Neurophysiology on p. 2830-2839
Extracting and Classifying Spatial Muscle Activation Patterns in Forearm Flexor Muscles Using High-Density Electromyogram Recordings
Chenyun Dai, Xiaogang Hu, 2019, International Journal of Neural Systems
Assessing altered motor unit recruitment patterns in paretic muscles of stroke survivors using surface electromyography
Xiaogang Hu, Aneesha K. Suresh, William Z. Rymer, Nina L. Suresh, 2015, Journal of Neural Engineering
News Articles Featuring Xiaogang Hu
Dec 16, 2024
Person-centered, bio-inspired research leads to improved control of prosthetics
Penn State researcher focuses on creating wearable assistive robotic systems for people with limited use of their limbs, especially their hands, with the goal of the user intuitively controlling the systems and devices on which they rely.
Full Article
Jan 30, 2024
$4M grant funds project to make robotic prostheses more like biological limbs
Prosthetic hands that incorporate robotics can perform dexterous self-care tasks, but they are often hard to operate, requiring a user’s constant attention with a limited number of hand functions. With a five-year, $4 million U.S. National Science Foundation grant, Penn State researchers aim to make robotic protheses more useful for people living with amputations.
Full Article