Szi-Wen Chen
Papers
1
Total Citations
2
H-Index
1
About
Szi-Wen Chen is a leading researcher in biomedical engineering, with a focus on neuromuscular rehabilitation, myoelectric signal processing, and human–machine interaction. His work centers on understanding how robotic assistance and varying resistance affect muscle physiology during rehabilitation, particularly for post-stroke motor recovery. Chen’s most cited study, “Myoelectric, Myo-Oxygenation, and Myotonometry Changes during Robot-Assisted Bilateral Arm Exercises with Varying Resistances” (2024), investigates the interplay between muscle fatigue, oxygenation, and mechanical properties during robot-assisted training. This research provides critical insights into optimizing rehabilitation protocols by balancing training intensity with fatigue management. Although his citation count is still growing, Chen’s contributions are notable for integrating multimodal sensing—electromyography, near-infrared spectroscopy, and myotonometry—to quantify real-time physiological responses. His work has implications for designing adaptive robotic systems that personalize therapy based on individual muscle states. Chen’s achievements include advancing the understanding of bilateral arm training’s efficacy and safety, offering a foundation for future innovations in neurorehabilitation technology. His research is particularly valuable for students and clinicians seeking evidence-based approaches to enhance motor recovery in stroke survivors.
Research Focus
Key Achievements
Top Papers
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