Papers
1
Total Citations
5
H-Index
1
About
Lan He is a researcher in biomedical engineering, specializing in neural control interfaces for assistive and rehabilitative technologies. Her primary research focuses on surface electromyography (sEMG) signal processing and pattern recognition, particularly for lower limb prostheses and rehabilitation robots. In her notable 2018 work, "Optimized Recognition Method of Surface EMG Signals Multi-Parameters Based on Different Lower Limb Motion Velocity," He investigated how varying movement speeds affect the classification accuracy of sEMG signals—a critical challenge for real-world prosthetic control. By optimizing multi-parameter recognition methods, she advanced the reliability of neural control signals across dynamic motion conditions. Her work has garnered citations from peers developing powered prostheses and human-robot interaction systems, reflecting its relevance to improving adaptive control in assistive devices. He’s contributions help bridge the gap between laboratory-based signal classification and practical, speed-adaptive control for lower limb prosthetics, supporting more natural and responsive movement for users.
Research Focus
Key Achievements
Top Papers
- 1