Papers

2

Total Citations

26

H-Index

2

About

Yue Lan is a leading researcher at the intersection of rehabilitation robotics and neural engineering, with a core focus on restoring motor function for stroke survivors and individuals with neurological impairments. Her most cited work, a 2017 feasibility study on an ankle rehabilitation robot, pioneered the integration of steady-state visual evoked potentials (SSVEP) with passive training protocols. By combining brain-computer interface (BCI) technology with virtual reality, Lan demonstrated that patients could actively engage their neural pathways during robotic-assisted therapy, a breakthrough that has garnered 24 citations and laid the groundwork for closed-loop rehabilitation systems. More recently, she co-authored the 2024 clinical practice guidelines for standing balance disorder in stroke patients, a comprehensive framework addressing static and dynamic instability that directly impacts fall risk and daily living activities. This work reflects her commitment to translating neuroengineering innovations into evidence-based clinical protocols. Lan’s research uniquely bridges the gap between neural signal processing and practical rehabilitation outcomes, offering scalable solutions for motor recovery. Her contributions are particularly vital for aging populations and stroke survivors, where her SSVEP-based robotic training paradigm promises to make passive therapy more cognitively engaging and physiologically effective.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Feasibility Study of SSVEP-Based Passive Training on an Ankle Rehabilitation Robot
24 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Huazhong University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago