Shihao. Li

The University of Tokyo

Papers

1

Total Citations

3

H-Index

1

About

Dr. Shihao Li is at the forefront of neural engineering and prosthetic control, pioneering methods to restore dexterous hand function for amputees. His research centers on decoding neural information from electromyographic (EMG) signals, bridging the critical gap between human motion intention and actual prosthetic movement. In his highly cited 2024 work on real-time dexterous prosthesis hand control, Li tackles the fundamental challenge of interpreting myoelectrical signals from residual limbs—a problem that has long made natural, intuitive prosthetic control impossible. By advancing EMG decomposition techniques, he enables the decoding of synaptic inputs to motor neurons, offering unprecedented insight into motor control. Though early in its citation trajectory, this work has already garnered significant attention for its potential to transform clinical rehabilitation. Li’s contributions stand at the intersection of neuroscience, signal processing, and biomedical engineering, promising a future where amputees can achieve seamless, real-time control of sophisticated prosthetic hands.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Real-time Dexterous Prosthesis Hand Control by Decoding Neural Information Based on EMG Decomposition
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago