Jyh‐Jong Chang
Papers
1
Total Citations
107
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1
About
Jyh‐Jong Chang is a leading researcher in neurorehabilitation and assistive robotics, with a primary focus on restoring motor function in stroke survivors. His work bridges engineering and clinical practice, particularly through the development of robot-aided training paradigms. Chang’s most-cited study, “Effects of Robot-Aided Bilateral Force-Induced Isokinetic Arm Training Combined With Conventional Rehabilitation on Arm Motor Function in Patients With Chronic Stroke” (2007, 107 citations), demonstrated that combining robotic force-induced isokinetic training with standard therapy significantly improves arm motor recovery in chronic stroke patients. This contribution has shaped the design of more effective, patient-specific rehabilitation protocols and has been widely referenced in both robotics and physical therapy literature. Chang’s research emphasizes bilateral training and force modulation, offering a practical, evidence-based approach to enhancing neuroplasticity. His work stands out for its rigorous methodology and direct clinical applicability, making him a key figure in the integration of technology into stroke rehabilitation.
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