Tengyu Zhang

Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Central South University

Papers

Total Citations

H-Index

About

Tengyu Zhang is a leading researcher in intelligent rehabilitation technologies and human-robot interaction, with a focus on developing advanced solutions for motor dysfunction treatment. Their most impactful work, "Prospects for intelligent rehabilitation techniques to treat motor dysfunction" (2020, 74 citations), addresses the critical need for innovative rehabilitation methods beyond routine treatments, particularly for stroke patients who often experience persistent motor impairments. Zhang's research on exoskeleton robots, including the construction and analysis of muscle functional networks (2019) and evaluation of muscle fatigue using nonlinear methods like CRP and RQA (2018), has advanced the understanding of human-machine co-drive systems. By integrating surface electromyography (EMG) analysis and obstacle avoidance algorithms for ROS-based robots (2022), Zhang bridges the gap between rehabilitation engineering and autonomous robotics. Their work on muscle fatigue evaluation for upper limb exoskeletons provides crucial insights for designing safer, more effective assistive devices. With a growing citation record and contributions spanning rehabilitation robotics, muscle network analysis, and intelligent control systems, Zhang is shaping the future of assistive technologies that enhance motor recovery and human-robot collaboration.