Bin-Bin He

Shenzhen University

Papers

1

Total Citations

13

H-Index

1

About

Dr. Bin-Bin He is a leading researcher at the intersection of rehabilitation robotics and neural signal processing, with a primary focus on advancing human-robot interaction for lower limb assistance. His most cited work, "Real-time Knee Joint Angle Estimation Based on Surface Electromyograph and Back Propagation Neural Network" (2021, 13 citations), introduces a novel method that leverages surface electromyography (sEMG) and a Back Propagation Neural Network (BPNN) to achieve precise, continuous estimation of knee joint angles. This contribution is pivotal for the real-time control of lower limb rehabilitation exoskeletons, enabling more intuitive and adaptive motion support for patients. By mapping neural signals to mechanical motion, Dr. He’s research bridges the gap between biological intent and robotic actuation, offering a pathway toward smarter, more responsive assistive devices. His work not only enhances the autonomy of exoskeleton systems but also holds significant promise for improving the quality of life for individuals with mobility impairments. With a growing citation record, Dr. He continues to push the boundaries of neurorehabilitation engineering, making him a notable figure in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Real-time Knee Joint Angle Estimation Based on Surface Electromyograph and Back Propagation Neural Network
13 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago