Lizhi Pan
Papers
9
Total Citations
127
H-Index
4
About
Lizhi Pan is a biomedical engineer and robotics researcher whose work sits at the intersection of neural interfaces, myoelectric prosthetic control, and surgical robotics. His research focuses primarily on developing advanced human-machine interfaces that decode electromyography (EMG) signals to enable intuitive, multi-degree-of-freedom control of robotic prosthetic limbs. A central thread throughout his career is the application of musculoskeletal modeling — including muscle synergy frameworks and neural-driven architectures — to achieve simultaneous and proportional control of hand and wrist movements, bridging the persistent gap between laboratory research and clinical prosthetic devices. Pan's most influential contribution is a comprehensive 10-year perspective review on non-invasive myoelectric neural interfaces for upper-limb prosthetics, which has garnered 91 citations and remains a key reference for the field. His additional work on optimal EMG sensor placement, functional variable selection, and neural-driven musculoskeletal models reflects a sustained effort to make prosthetic controllers more practical and robust for real-world users. More recently, he has expanded into surgical robotics, contributing innovations in compact master devices for minimally invasive surgery and visual field reconstruction in laparoscopic procedures. Pan's interdisciplinary portfolio makes him a notable emerging voice in bio-robotics and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9