Ming‐Han Liu

Keio University

Papers

1

Total Citations

3

H-Index

1

About

Ming‐Han Liu is a leading researcher in neurorehabilitation engineering, specializing in brain-computer interfaces (BCIs) and robotic exoskeleton systems for post-stroke motor recovery. His work uniquely integrates EEG-based neurofeedback with robotic assistance, targeting patients with severe chronic hemiplegia who have limited therapeutic options. In his most-cited study, Liu developed a closed-loop system that triggers shoulder exoskeleton movement using contralesional primary motor cortex activity, enabling voluntary motor engagement even in severely impaired individuals. This approach has garnered 3 citations, reflecting its niche but critical impact on advancing personalized, neuroplasticity-driven rehabilitation. Liu’s contributions bridge neural signal processing and assistive robotics, offering a paradigm shift from passive to active patient participation in therapy. His research holds promise for restoring upper-limb function in populations traditionally excluded from conventional interventions, positioning him as a key innovator in translational neuroengineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
EEG-based neurofeedback training with shoulder exoskeleton robot assistance triggered by the contralesional primary motor cortex activity in poststroke patients with severe chronic hemiplegia
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago