Xuelian Yu
Papers
1
Total Citations
18
H-Index
1
About
Xuelian Yu is a researcher at the forefront of biomedical signal processing and rehabilitation engineering, with a primary focus on advancing human-machine interaction for assistive technologies. Her most impactful work centers on the classification of finger movements using surface electromyography (sEMG), a critical step toward creating more intuitive and dexterous prosthetic hand control. In her highly cited 2020 study, Yu demonstrated a robust pattern recognition method that decodes sEMG signals from volunteers to accurately classify individual finger movements. This contribution directly addresses a key challenge in prosthetics—enabling fine motor control—and holds promise for applications spanning medical rehabilitation, robotics, and industrial human augmentation. With 18 citations, this work has already influenced subsequent research in myoelectric control systems. By bridging signal processing and practical device design, Yu’s research is paving the way for more responsive, naturalistic prosthetic limbs that can restore significant hand function to amputees, marking her as an emerging leader in the field of neural-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1