Aijia Chen
Papers
1
Total Citations
11
H-Index
1
About
Aijia Chen is a pioneering researcher at the intersection of neurorehabilitation and soft robotics, with a primary focus on understanding how the brain responds to combined therapeutic interventions. Her most cited work, a 2022 functional near-infrared spectroscopy (fNIRS) study, investigates the synergistic effects of mirror visual feedback (MVF) paired with a soft robotic bilateral hand rehabilitation system. In this self-controlled study involving 20 healthy subjects, Chen demonstrated that this combination therapy elicits immediate, heightened cortical activation compared to MVF alone—a critical insight for designing more effective stroke and hand injury rehabilitation protocols. With 11 citations, this paper has quickly become a reference point for researchers exploring multimodal rehabilitation strategies. Chen’s contributions lie in bridging the gap between neural mechanisms and practical robotic design, offering evidence that soft robotic systems can amplify the therapeutic benefits of visual feedback. Her work not only advances the field of neurorehabilitation but also provides a scalable, non-invasive framework for future clinical applications, making her a rising voice in the quest to restore hand function through technology-driven therapy.
Research Focus
Key Achievements
Top Papers
- 1