Wei-Hai Chen
Papers
2
Total Citations
100
H-Index
2
About
Wei-Hai Chen is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent exoskeletons for stroke patients. His work uniquely bridges the gap between assistive technology and patient engagement, targeting the critical challenge of restoring motor function in individuals with impaired mobility. Chen’s major contributions include the development of an EMG-controlled knee exoskeleton designed for home rehabilitation, which integrates a game-based context to motivate patients. This innovative approach, published in 2019, has garnered 75 citations, highlighting its impact on accessible, patient-centered therapy. He further advanced the field by incorporating artificial intelligence into a knee exoskeleton to provide "assistance-as-needed," a paradigm that ensures active patient participation rather than passive robotic guidance. This 2019 study, with 25 citations, challenges traditional predetermined trajectory methods, offering a more adaptive and responsive rehabilitation experience. Chen’s work is notable for its practical application, aiming to make intensive, effective therapy available beyond clinical settings. His research is essential reading for those interested in how AI and bio-signal control can transform neurorehabilitation, offering hope for improved outcomes in stroke recovery.
Research Focus
Key Achievements
Top Papers
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- 2