Haining Ou

Guangzhou Medical University

Papers

1

Total Citations

11

H-Index

1

About

Haining Ou is a leading researcher in neurorehabilitation engineering, specializing in the integration of soft robotics and brain-computer interface technologies to restore motor function after neurological injury. Their major contributions center on understanding how mirror visual feedback (MVF) combined with soft robotic hand rehabilitation systems activates the brain’s sensorimotor cortex. In their landmark 2022 study, cited 11 times, Ou demonstrated through functional near-infrared spectroscopy (fNIRS) that this combined approach produces synergistic, immediate cortical activation in healthy subjects—a finding that provides a mechanistic foundation for designing more effective post-stroke hand therapies. This work bridges the gap between robotic assistance and neural plasticity, offering a non-invasive window into how the brain responds to augmented sensory feedback. Ou’s research has direct implications for developing personalized rehabilitation protocols that maximize neuroplastic recovery. By systematically quantifying the neural correlates of MVF-robot synergy, Haining Ou has established a critical framework for next-generation, closed-loop rehabilitation systems that adapt in real time to a patient’s cortical state.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Synergistic Immediate Cortical Activation on Mirror Visual Feedback Combined With a Soft Robotic Bilateral Hand Rehabilitation System: A Functional Near Infrared Spectroscopy Study
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Guangzhou Medical University

Top Papers

  1. 1

Key Collaborators

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Content generated · 11 days ago