Papers
6
Total Citations
381
H-Index
4
About
Dr. Longjiang Zhou is a pioneering researcher at the intersection of rehabilitation robotics and brain-computer interfaces (BCI), with a primary focus on restoring motor function after stroke. His most impactful contribution is a landmark three-armed randomized controlled trial (353 citations) that demonstrated the efficacy of an EEG-based motor imagery BCI coupled with a Haptic Knob robot for wrist and hand rehabilitation in chronic stroke patients—a study that remains a cornerstone in the field of neurorehabilitation. Zhou has also advanced BCI calibration by incorporating passive movement data to improve model performance, and developed innovative tools like a nonlinear elastic path controller for robotic wheelchairs and a novel hand strength assessment method integrated into haptic devices. His work on the RADOE simulation platform further supports industrial robot development. With a career spanning from robust control theory to clinical neurorehabilitation, Zhou’s research bridges engineering and medicine, offering practical, data-driven solutions for assistive technology. His contributions have shaped how robotic systems are designed to interact safely and effectively with human users, particularly in post-stroke recovery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A nonlinear elastic path controller for a robotic wheelchair6 citations · 2008
- 4A robotics simulator platform for RADOE5 citations · 2016
- 5
- 6Analysis and parameter optimization of an elastic path controller2 citations · 2007