Hao-Wei Chang
Papers
1
Total Citations
2
H-Index
1
About
Hao-Wei Chang is a researcher in rehabilitation robotics and neuromuscular physiology, whose work focuses on understanding how robot-assisted therapy impacts motor function and muscle health. His key research areas include myoelectric signal analysis, muscle oxygenation dynamics, and myotonometry—the study of muscle mechanical properties. In his most cited work, Chang investigated the physiological changes during robot-assisted bilateral arm exercises with varying resistances, revealing how increased training intensity affects muscle fatigue and recovery. This study, published in 2024, has already garnered 2 citations, highlighting its early impact in the field. Chang’s contributions are particularly significant for post-stroke rehabilitation, as his findings help optimize robotic training protocols to maximize motor recovery while minimizing fatigue. By integrating real-time monitoring of muscle activity and oxygenation, his research provides a foundation for adaptive rehabilitation systems. Chang’s work bridges engineering and clinical practice, offering actionable insights for designing safer, more effective robot-assisted therapies. His ongoing research promises to advance personalized rehabilitation strategies for individuals with neurological impairments.
Research Focus
Key Achievements
Top Papers
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