Hsiao‐Lung Chan
Papers
2
Total Citations
6
H-Index
2
About
Hsiao-Lung Chan is a leading researcher in neurorehabilitation engineering, with a focus on understanding and enhancing motor recovery after stroke. His work uniquely integrates myoelectric analysis, muscle oxygenation monitoring, and myotonometry to evaluate the physiological effects of robot-assisted therapy. Chan’s major contributions include demonstrating that robot-assisted bilateral arm training significantly improves motor function in post-stroke individuals, while also revealing that prolonged sessions can induce both mental and muscle fatigue. His 2021 study on myoelectric analysis during robot-assisted wrist exercises, which has garnered 4 citations, provides critical insights into upper-extremity muscle activation patterns in hemiplegic subjects. More recently, his 2024 work (2 citations) explores how varying resistance levels during bilateral arm exercises affect muscle physiology, offering evidence-based guidelines for optimizing training protocols. Chan’s research bridges the gap between rehabilitation robotics and neuromuscular physiology, helping clinicians design safer, more effective stroke rehabilitation programs. His findings are essential for researchers and practitioners aiming to maximize recovery while minimizing fatigue-related risks.
Research Focus
Key Achievements
Top Papers
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- 2