Shi-Zhong Bian
Papers
1
Total Citations
6
H-Index
1
About
Shi-Zhong Bian is a leading researcher in rehabilitation robotics and intelligent control systems, with a focus on developing adaptive, patient-specific technologies for motor recovery. His work centers on the intersection of biomechatronics, fuzzy modeling, and optimization algorithms to enhance the precision and personalization of robotic rehabilitation. Bian’s most cited paper, “Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model” (2025, 6 citations), introduces a novel control framework that integrates differential evolution with a fuzzy nonlinear autoregressive model. This approach enables real-time, adaptive control of ankle rehabilitation robots, offering tailored therapy for patients with stroke, hemiplegia, and ankle injuries. By combining quantitative evaluation with precise robotic assistance, Bian’s contributions advance the field of neurorehabilitation, improving functional outcomes through smarter, more responsive devices. His work is notable for bridging computational intelligence and clinical application, laying the groundwork for next-generation rehabilitation systems that are both effective and accessible.
Research Focus
Key Achievements
Top Papers
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