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6
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About
Ming Ruan is a rehabilitation robotics researcher whose work centers on improving motor recovery for poststroke patients through advanced robotic interventions. Her primary research areas include exoskeleton-assisted gait training, balance rehabilitation, and the clinical application of treadmill-based robotic systems. Ruan’s most notable contribution is her systematic review, “Is Leg-Driven Treadmill-Based Exoskeleton Robot Training Beneficial to Poststroke Patients” (2022), which synthesized evidence from multiple international databases to evaluate the efficacy of leg-driven exoskeleton robots in restoring walking ability and balance. This work has garnered 6 citations, establishing a foundational reference for clinicians and engineers developing robot-assisted rehabilitation protocols. By critically analyzing outcomes from PubMed, Cochrane Library, and other key databases, Ruan provided actionable insights into how patient-driven robotic training can enhance neuroplasticity and functional independence. Her research bridges the gap between engineering design and clinical practice, offering evidence-based guidance for integrating exoskeletons into stroke rehabilitation programs. Ruan’s work is particularly valuable for students and researchers exploring human-robot interaction in neurorehabilitation, as it highlights both the therapeutic potential and the methodological challenges of robotic gait training.
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